pandas-seaborn.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pandas (and a little bit of seaborn) examples\n",
    "\n",
    "Pandas is a library for dealing with tabular data (called DataFrames). Essentially it's a way to create and manipulate labeled data tables of mixed types that can then be used with Seaborn to quickly plot (and then manipulate the plot with matplotlib)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "array([[  0.,  35.,   0., 157.],\n",
       "       [ 14.,   0.,  26.,   0.],\n",
       "       [  0.,  14.,   0.,  26.],\n",
       "       [ 35.,   0.,  87.,   0.]])"
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     "execution_count": 6,
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   "source": [
    "# Import everything we'll need - 'sns' is the typical import alias for seaborn for some reason -\n",
    "# Apparently it's because of a TV character named Seaborn with those initials. Go figure.\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import glob\n",
    "\n",
    "rates = np.loadtxt('rates.txt')\n",
    "rates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start with an artificial, tiny data set representing two simulations of a kinetic system with three states over four timesteps. For now we'll say we have our input data in the form of numpy arrays (pandas supports importing from a lot of other file types too - we'll use csv importing later for the \"real\" example).\n",
    "\n",
    "We have an array of timesteps that's the same for both simulations, and two arrays representing the state probabilities that we gathered - let's say they're both stored in the array differently to show how we'd load them both into data frames:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "times = [0., 0.1, 0.2, 0.3]\n",
    "\n",
    "# [[p1 at each time step],\n",
    "#  [p2 at each time step],\n",
    "#  [p3 at each time step]]\n",
    "run1 = np.array([[0.25, 0.40, 0.15, 0.40],\n",
    "                 [0.50, 0.40, 0.35, 0.50],\n",
    "                 [0.25, 0.20, 0.50, 0.10]])\n",
    "\n",
    "# [[p1, p2, p3 at timestep 1],\n",
    "#  [p1, p2, p3 at timestep 2]....\n",
    "run2 = np.array([[0.15, 0.40, 0.45],\n",
    "                 [0.20, 0.20, 0.60],\n",
    "                 [0.25, 0.25, 0.50],\n",
    "                 [0.10, 0.15, 0.75]])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There's lots of different ways to initialize a DataFrame, but the easiest for me in most cases is a dictionary, with keys representing the labels we're giving each column in the table, and the values associated with those keys being the actual data in list-like form. Let's add columns to keep track of which run data is coming from, the timestep of each data point, and the probability for each of the three steps at that timestep (prob1, prob2, prob3). We're going to initialize these DataFrames as wide form, since that's how our data is organized, but later we'll convert it to long form to work with it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Run  Time  prob1  prob2  prob3\n",
      "0   1   0.0   0.25   0.50   0.25\n",
      "1   1   0.1   0.40   0.40   0.20\n",
      "2   1   0.2   0.15   0.35   0.50\n",
      "3   1   0.3   0.40   0.50   0.10\n"
     ]
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Run</th>\n",
       "      <th>Time</th>\n",
       "      <th>prob1</th>\n",
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       "  Run  Time  prob1  prob2  prob3\n",
       "0   2   0.0   0.15   0.40   0.45\n",
       "1   2   0.1   0.20   0.20   0.60\n",
       "2   2   0.2   0.25   0.25   0.50\n",
       "3   2   0.3   0.10   0.15   0.75"
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   "source": [
    "# For run1 we can just pass in the separate rows of the array directly,\n",
    "# since they're already lists of probabilities for each state\n",
    "df_1 = pd.DataFrame({'Run': '1',\n",
    "                     'Time': times,\n",
    "                     'prob1': run1[0],\n",
    "                     'prob2': run1[1],\n",
    "                     'prob3': run1[2]})\n",
    "\n",
    "# For run2, since rows instead represent separate timesteps, we'll instead use the transpose (array.T)\n",
    "# and then take the rows as normal\n",
    "df_2 = pd.DataFrame({'Run': '2',\n",
    "                     'Time': times,\n",
    "                     'prob1': run2.T[0],\n",
    "                     'prob2': run2.T[1],\n",
    "                     'prob3': run2.T[2]})\n",
    "\n",
    "# Here's our two dataframes for both runs:\n",
    "print(df_1)\n",
    "display(df_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'd like to combine these two DF's to work with all the data we have at once - pd.concat([df1, df2, df3....]) does this\n",
    "Note that the index row that Pandas adds doesn't get changed -we can reset this with .reset_index(), or just get rid of it, but we don't really need to worry about it unless we want to access rows directly by index (for example, taking df[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "  Run  Time  prob1  prob2  prob3\n",
       "0   1   0.0   0.25   0.50   0.25\n",
       "1   1   0.1   0.40   0.40   0.20\n",
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       "3   1   0.3   0.40   0.50   0.10\n",
       "0   2   0.0   0.15   0.40   0.45\n",
       "1   2   0.1   0.20   0.20   0.60\n",
       "2   2   0.2   0.25   0.25   0.50\n",
       "3   2   0.3   0.10   0.15   0.75"
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      "text/plain": [
       "  Run  Time  prob1  prob2  prob3\n",
       "0   1   0.0   0.25   0.50   0.25\n",
       "0   2   0.0   0.15   0.40   0.45\n",
       "1   1   0.1   0.40   0.40   0.20\n",
       "1   2   0.1   0.20   0.20   0.60\n",
       "2   1   0.2   0.15   0.35   0.50\n",
       "2   2   0.2   0.25   0.25   0.50\n",
       "3   1   0.3   0.40   0.50   0.10\n",
       "3   2   0.3   0.10   0.15   0.75"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat([df_1, df_2])\n",
    "display(df)\n",
    "\n",
    "# Let's sort it by time instead of separate runs - \n",
    "# we don't need to do this for Seaborn, but it can be useful for operations that act on adjacent rows for example\n",
    "df_sorted = df.sort_values(by='Time')\n",
    "df_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use Seaborn to very quickly plot the data contained in a DataFrame (and add multiple lines with different colors / styles to represent the different index variables in our DF). Plotting with seaborn uses matplotlib, so any Seaborn plots will update plt just like a plt.plot() call - thus we can edit the figure once it's plotted just like a pure MPL figure. There's lots of different Seaborn plot types, but we'll stick to simple lineplots right now to visualize our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Here we're not specifying hue='Run', so seaborn will plot every data point it sees\n",
    "# at every timestep - here that means we have two points at each timestep from two runs,\n",
    "# and it's graphed as a range with the mean (by default) highlighted as a line\n",
    "sns.lineplot(data=df_sorted, x='Time', y='prob1')\n",
    "plt.title('Still works')\n",
    "plt.show()\n",
    "plt.close()\n",
    "\n",
    "# Now if we specify the hue kwarg, we'll get a second plot that differentiates\n",
    "# data from the two runs from one another\n",
    "sns.lineplot(data=df_sorted, x='Time', y='prob1', hue='Run')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Long form vs Wide form\n",
    "Seaborn's docs go into this and why it's convenient in much more detail (https://seaborn.pydata.org/tutorial/data_structure.html) but esssentially seaborn is geared to work with long form data, where each row in the table represents one single data point, and columns represent the index variables of that data point (what run it is part of, what timestep, what state, etc). In our case, note that in wide form we don't have a nice way to plot the probabilities of all three states in one command (we're only plotting state 1 above). Instead, in long form, we can specify separating states by hue and work with them that way.\n",
    "\n",
    "Pandas has df.melt() that converts wide form data to long form data - we specify:\n",
    "* one or more id variables (in our case run and time) that are the identifiers for each row in our original DF (i.e., each row in the wide DF represents measurements in a certain run at a certain timestep)\n",
    "\n",
    "* One or more value variables, which is the actual data stored in our DF - in our case we have three, the probabilities of each state. df.melt() will turn one row into three, like so:\n",
    "\n",
    "\n",
    "wide form:\n",
    "\n",
    "-------\n",
    "\n",
    "run time  p1 p2 p3\n",
    "\n",
    "----\n",
    "\n",
    "r1  t1    x1 y1 z1\n",
    "\n",
    "r2  t2    x2 y2 z2\n",
    "\n",
    "----\n",
    "\n",
    "to long form:\n",
    "\n",
    "-----\n",
    "\n",
    "run time state probability \n",
    "\n",
    "------\n",
    "\n",
    "r1  t1   1     x1\n",
    "\n",
    "r1  t1   2     y1\n",
    "\n",
    "r1  t1   3     z1\n",
    "\n",
    "r2  t2   1     x2 ...\n",
    "\n",
    "* Here we specify state as the label for the new variable column (based on value_vars) and probability as the label for the value column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Run</th>\n",
       "      <th>Time</th>\n",
       "      <th>State</th>\n",
       "      <th>Probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob1</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob2</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>prob3</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Run  Time  State  Probability\n",
       "0    1   0.0  prob1         0.25\n",
       "1    2   0.0  prob1         0.15\n",
       "2    1   0.1  prob1         0.40\n",
       "3    2   0.1  prob1         0.20\n",
       "4    1   0.2  prob1         0.15\n",
       "5    2   0.2  prob1         0.25\n",
       "6    1   0.3  prob1         0.40\n",
       "7    2   0.3  prob1         0.10\n",
       "8    1   0.0  prob2         0.50\n",
       "9    2   0.0  prob2         0.40\n",
       "10   1   0.1  prob2         0.40\n",
       "11   2   0.1  prob2         0.20\n",
       "12   1   0.2  prob2         0.35\n",
       "13   2   0.2  prob2         0.25\n",
       "14   1   0.3  prob2         0.50\n",
       "15   2   0.3  prob2         0.15\n",
       "16   1   0.0  prob3         0.25\n",
       "17   2   0.0  prob3         0.45\n",
       "18   1   0.1  prob3         0.20\n",
       "19   2   0.1  prob3         0.60\n",
       "20   1   0.2  prob3         0.50\n",
       "21   2   0.2  prob3         0.50\n",
       "22   1   0.3  prob3         0.10\n",
       "23   2   0.3  prob3         0.75"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Run</th>\n",
       "      <th>Time</th>\n",
       "      <th>State</th>\n",
       "      <th>Probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Run  Time State  Probability\n",
       "0    1   0.0     1         0.25\n",
       "1    2   0.0     1         0.15\n",
       "2    1   0.1     1         0.40\n",
       "3    2   0.1     1         0.20\n",
       "4    1   0.2     1         0.15\n",
       "5    2   0.2     1         0.25\n",
       "6    1   0.3     1         0.40\n",
       "7    2   0.3     1         0.10\n",
       "8    1   0.0     2         0.50\n",
       "9    2   0.0     2         0.40\n",
       "10   1   0.1     2         0.40\n",
       "11   2   0.1     2         0.20\n",
       "12   1   0.2     2         0.35\n",
       "13   2   0.2     2         0.25\n",
       "14   1   0.3     2         0.50\n",
       "15   2   0.3     2         0.15\n",
       "16   1   0.0     3         0.25\n",
       "17   2   0.0     3         0.45\n",
       "18   1   0.1     3         0.20\n",
       "19   2   0.1     3         0.60\n",
       "20   1   0.2     3         0.50\n",
       "21   2   0.2     3         0.50\n",
       "22   1   0.3     3         0.10\n",
       "23   2   0.3     3         0.75"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_long = df_sorted.melt(id_vars=['Run', 'Time'], \n",
    "                         value_vars=['prob1', 'prob2', 'prob3'], \n",
    "                         var_name='State', \n",
    "                         value_name='Probability')\n",
    "\n",
    "display(df_long)\n",
    "\n",
    "# By default our new state labels are just the column labels of the value columns -\n",
    "# let's rename them to just '1', '2', '3':\n",
    "df_long = df_long.replace(['prob1', 'prob2', 'prob3'], ['1', '2', '3'])\n",
    "\n",
    "display(df_long)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now we can plot with seaborn, and use the state variable as our hue kwarg to plot:\n",
    "sns.lineplot(data=df_long, x='Time', y='Probability', hue='State')\n",
    "plt.title('no style kwarg - averaging runs')\n",
    "plt.show()\n",
    "plt.close()\n",
    "\n",
    "# We can even use the run variable to use different line styles as well:\n",
    "sns.lineplot(data=df_long, x='Time', y='Probability', hue='State', style='Run')\n",
    "plt.title('style = run kwarg - each run plotted with different style')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we want to select a subset of a DataFrame based on a condition, df.loc[] works (NOTE the [] - this is a property, not a function!) The syntax is:\n",
    "\n",
    "df.loc[(condition)]\n",
    "\n",
    "with multiple conditions, use & for and and | for or, and enclose each condition in parentheses:\n",
    "\n",
    "df.loc[((c1) & (c2)) | c3]\n",
    "\n",
    "is choosing the rows that meet (c1 AND c2) OR c3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's pick out the data for just the first run: in this case, the condition is\n",
    "# df['Run'] == '1'\n",
    "df_r1 = df_long.loc[df_long['Run'] == '1']\n",
    "sns.lineplot(data = df_r1, x='Time', y='Probability', hue='State')\n",
    "plt.title('run 1 only')\n",
    "plt.show()\n",
    "plt.close()\n",
    "\n",
    "# Now let's pick out just the second run, AND only timesteps that are 0.1s or later:\n",
    "df_r2_filtered = df_long.loc[(df_long['Run'] == '2') &\n",
    "                             (df_long['Time'] >= 0.1) &\n",
    "                             (df_long['Probability'] > 0.3)]\n",
    "\n",
    "sns.lineplot(data = df_r2_filtered, x='Time', y='Probability', hue='State')\n",
    "plt.title('run 2 only, t>= 0.1')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, as an example, let's do something much more complicated. Say we want to calculate the net flux of the transitions in this system at each datapoint and store this in a new DF, flux_df. Let's say that all our reactions are first order and our probabilities are deterministic, so flux_ij = rate_ij * prob_i. Let's first write a custom function that takes in a row of the probability DF, and returns a dictionary with rows corresponding to the fluxes of reactions leaving that state.\n",
    "\n",
    "For convenience, let's say our model is cyclic, with the rates below, and that we define the positive flux as going from a lower numbered state to a higher one - 1 -> 2 -> 3 -> 1 - note that we need to add a special exception for the 3 -> 1 case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_flux(row, rates=None, neg_direction_exceptions=[]):\n",
    "    # initialize eventual output dict - start and end are \n",
    "    # the start and end states of the reaction, respectively\n",
    "    output_rows = {'run': [], 'time': [], 'start': [], 'end': [], 'flux': []}\n",
    "    \n",
    "    # the starting state of all reactions leaving this state is this state, of course\n",
    "    start = row['State']\n",
    "    \n",
    "    # Get the timestep and run as well\n",
    "    time = row['Time']\n",
    "    run = row['Run']\n",
    "\n",
    "    # Get the row of our input rate matrix corresponding to reactions leaving this state -\n",
    "    # reactions leaving state 1 are in row 0 of the rate matrix, for instance\n",
    "    rates_row = rates[int(start) - 1]\n",
    "    \n",
    "    # Finally calculate the flux as this row of rates times the probability of that state (so this is a vector out)\n",
    "    fluxes = rates_row * row['Probability']\n",
    "    \n",
    "    # For readability let's just loop through this 1D flux vector and handle it:\n",
    "    for (i,), flux in np.ndenumerate(fluxes):\n",
    "        \n",
    "        # If our flux is 0 this reaction doesn't exist, just continue\n",
    "        if flux > 0:\n",
    "            \n",
    "            # The end state is the index we're at in the flux array (+ 1 because zero indexing)\n",
    "            end = str(i + 1)\n",
    "            \n",
    "            # Check if this reaction is defined as positive or negative - for convenience later,\n",
    "            # we're going to label the start and end as they are in the positive direction,\n",
    "            # and indicate which direction we're actually going by the sign of the flux\n",
    "            if int(start) > int(end) and (start, end) not in neg_direction_exceptions:\n",
    "                flux = -flux\n",
    "                output_rows['start'].append(end)\n",
    "                output_rows['end'].append(start)\n",
    "            \n",
    "            # 1->3 needs to be - if 3->1 is +, for example\n",
    "            elif (end, start) in neg_direction_exceptions:\n",
    "                flux = -flux\n",
    "                output_rows['start'].append(end)\n",
    "                output_rows['end'].append(start)\n",
    "            \n",
    "            else:\n",
    "                output_rows['start'].append(start)\n",
    "                output_rows['end'].append(end)\n",
    "                \n",
    "            # Append all our data to the list in the dict and eventually return the dict\n",
    "            output_rows['run'].append(run)\n",
    "            output_rows['time'].append(time)\n",
    "            output_rows['flux'].append(flux)\n",
    "            \n",
    "    return output_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can apply this function to each row of the DF - pd.apply(func) does this (it's slow, since it's basically just a for loop in disguise, but we'll discuss speeding it up later). This will give us a new DF where each row is the dictionary we return out of the function, let's call it flux_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>run</th>\n",
       "      <th>time</th>\n",
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       "      <th>end</th>\n",
       "      <th>flux</th>\n",
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       "      <td>[1, 1]</td>\n",
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       "      <td>[1.25, -0.5]</td>\n",
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       "      <td>[0.0, 0.0]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[2, 1]</td>\n",
       "      <td>[0.75, -0.3]</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[1, 1]</td>\n",
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       "      <td>[2, 1]</td>\n",
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       "      <th>3</th>\n",
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       "      <td>[1.0, -0.4]</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[1, 1]</td>\n",
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       "      <td>[1, 3]</td>\n",
       "      <td>[2, 1]</td>\n",
       "      <td>[0.75, -0.3]</td>\n",
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       "      <th>5</th>\n",
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       "      <td>[1.25, -0.5]</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[2, 1]</td>\n",
       "      <td>[2.0, -0.8]</td>\n",
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       "      <th>7</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[2, 1]</td>\n",
       "      <td>[0.5, -0.2]</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>[1, 1]</td>\n",
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       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-1.5, 3.5]</td>\n",
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       "      <th>9</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.0, 0.0]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-1.2000000000000002, 2.8000000000000003]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.1, 0.1]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-1.2000000000000002, 2.8000000000000003]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.1, 0.1]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-0.6000000000000001, 1.4000000000000001]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.2, 0.2]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-1.0499999999999998, 2.4499999999999997]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.2, 0.2]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-0.75, 1.75]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-1.5, 3.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[-0.44999999999999996, 1.05]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.0, 0.0]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[2.0, -0.25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.0, 0.0]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[3.6, -0.45]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.1, 0.1]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[1.6, -0.2]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.1, 0.1]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[4.8, -0.6]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.2, 0.2]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[4.0, -0.5]</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.2, 0.2]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[4.0, -0.5]</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[0.8, -0.1]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>[0.3, 0.3]</td>\n",
       "      <td>[3, 2]</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>[6.0, -0.75]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       run        time   start     end   \n",
       "0   [1, 1]  [0.0, 0.0]  [1, 3]  [2, 1]  \\\n",
       "1   [2, 2]  [0.0, 0.0]  [1, 3]  [2, 1]   \n",
       "2   [1, 1]  [0.1, 0.1]  [1, 3]  [2, 1]   \n",
       "3   [2, 2]  [0.1, 0.1]  [1, 3]  [2, 1]   \n",
       "4   [1, 1]  [0.2, 0.2]  [1, 3]  [2, 1]   \n",
       "5   [2, 2]  [0.2, 0.2]  [1, 3]  [2, 1]   \n",
       "6   [1, 1]  [0.3, 0.3]  [1, 3]  [2, 1]   \n",
       "7   [2, 2]  [0.3, 0.3]  [1, 3]  [2, 1]   \n",
       "8   [1, 1]  [0.0, 0.0]  [1, 2]  [2, 3]   \n",
       "9   [2, 2]  [0.0, 0.0]  [1, 2]  [2, 3]   \n",
       "10  [1, 1]  [0.1, 0.1]  [1, 2]  [2, 3]   \n",
       "11  [2, 2]  [0.1, 0.1]  [1, 2]  [2, 3]   \n",
       "12  [1, 1]  [0.2, 0.2]  [1, 2]  [2, 3]   \n",
       "13  [2, 2]  [0.2, 0.2]  [1, 2]  [2, 3]   \n",
       "14  [1, 1]  [0.3, 0.3]  [1, 2]  [2, 3]   \n",
       "15  [2, 2]  [0.3, 0.3]  [1, 2]  [2, 3]   \n",
       "16  [1, 1]  [0.0, 0.0]  [3, 2]  [1, 3]   \n",
       "17  [2, 2]  [0.0, 0.0]  [3, 2]  [1, 3]   \n",
       "18  [1, 1]  [0.1, 0.1]  [3, 2]  [1, 3]   \n",
       "19  [2, 2]  [0.1, 0.1]  [3, 2]  [1, 3]   \n",
       "20  [1, 1]  [0.2, 0.2]  [3, 2]  [1, 3]   \n",
       "21  [2, 2]  [0.2, 0.2]  [3, 2]  [1, 3]   \n",
       "22  [1, 1]  [0.3, 0.3]  [3, 2]  [1, 3]   \n",
       "23  [2, 2]  [0.3, 0.3]  [3, 2]  [1, 3]   \n",
       "\n",
       "                                         flux  \n",
       "0                                [1.25, -0.5]  \n",
       "1                                [0.75, -0.3]  \n",
       "2                                 [2.0, -0.8]  \n",
       "3                                 [1.0, -0.4]  \n",
       "4                                [0.75, -0.3]  \n",
       "5                                [1.25, -0.5]  \n",
       "6                                 [2.0, -0.8]  \n",
       "7                                 [0.5, -0.2]  \n",
       "8                                 [-1.5, 3.5]  \n",
       "9   [-1.2000000000000002, 2.8000000000000003]  \n",
       "10  [-1.2000000000000002, 2.8000000000000003]  \n",
       "11  [-0.6000000000000001, 1.4000000000000001]  \n",
       "12  [-1.0499999999999998, 2.4499999999999997]  \n",
       "13                              [-0.75, 1.75]  \n",
       "14                                [-1.5, 3.5]  \n",
       "15               [-0.44999999999999996, 1.05]  \n",
       "16                               [2.0, -0.25]  \n",
       "17                               [3.6, -0.45]  \n",
       "18                                [1.6, -0.2]  \n",
       "19                                [4.8, -0.6]  \n",
       "20                                [4.0, -0.5]  \n",
       "21                                [4.0, -0.5]  \n",
       "22                                [0.8, -0.1]  \n",
       "23                               [6.0, -0.75]  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example_rates = np.array([[0., 5., 2.],\n",
    "                          [3., 0., 7.],\n",
    "                          [8., 1., 0.]])\n",
    "\n",
    "flux_df = df_long.apply(add_flux, result_type='expand', axis=1, rates=example_rates, neg_direction_exceptions=[('3', '1')])\n",
    "flux_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is close to what we want, but we want each entry in the lists in these rows to be their own rows - df.explode() does this (fun name) - specify the columns you want to explode lists into separate rows (in our case all of them), and then we'll chain on a sort function that sorts first by run, then by time, then finally by the start state:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "      <td>-0.8</td>\n",
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       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.6</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
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       "      <th>12</th>\n",
       "      <td>1</td>\n",
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       "      <td>-1.05</td>\n",
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       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>2.45</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
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       "      <td>3</td>\n",
       "      <td>-0.5</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.3</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   run time start end  flux\n",
       "0    1  0.0     1   2  1.25\n",
       "8    1  0.0     1   2  -1.5\n",
       "8    1  0.0     2   3   3.5\n",
       "16   1  0.0     2   3 -0.25\n",
       "0    1  0.0     3   1  -0.5\n",
       "16   1  0.0     3   1   2.0\n",
       "2    1  0.1     1   2   2.0\n",
       "10   1  0.1     1   2  -1.2\n",
       "10   1  0.1     2   3   2.8\n",
       "18   1  0.1     2   3  -0.2\n",
       "2    1  0.1     3   1  -0.8\n",
       "18   1  0.1     3   1   1.6\n",
       "4    1  0.2     1   2  0.75\n",
       "12   1  0.2     1   2 -1.05\n",
       "12   1  0.2     2   3  2.45\n",
       "20   1  0.2     2   3  -0.5\n",
       "4    1  0.2     3   1  -0.3\n",
       "20   1  0.2     3   1   4.0\n",
       "6    1  0.3     1   2   2.0\n",
       "14   1  0.3     1   2  -1.5\n",
       "14   1  0.3     2   3   3.5\n",
       "22   1  0.3     2   3  -0.1\n",
       "6    1  0.3     3   1  -0.8\n",
       "22   1  0.3     3   1   0.8\n",
       "1    2  0.0     1   2  0.75\n",
       "9    2  0.0     1   2  -1.2\n",
       "9    2  0.0     2   3   2.8\n",
       "17   2  0.0     2   3 -0.45\n",
       "1    2  0.0     3   1  -0.3\n",
       "17   2  0.0     3   1   3.6\n",
       "3    2  0.1     1   2   1.0\n",
       "11   2  0.1     1   2  -0.6\n",
       "11   2  0.1     2   3   1.4\n",
       "19   2  0.1     2   3  -0.6\n",
       "3    2  0.1     3   1  -0.4\n",
       "19   2  0.1     3   1   4.8\n",
       "5    2  0.2     1   2  1.25\n",
       "13   2  0.2     1   2 -0.75\n",
       "13   2  0.2     2   3  1.75\n",
       "21   2  0.2     2   3  -0.5\n",
       "5    2  0.2     3   1  -0.5\n",
       "21   2  0.2     3   1   4.0\n",
       "7    2  0.3     1   2   0.5\n",
       "15   2  0.3     1   2 -0.45\n",
       "15   2  0.3     2   3  1.05\n",
       "23   2  0.3     2   3 -0.75\n",
       "7    2  0.3     3   1  -0.2\n",
       "23   2  0.3     3   1   6.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flux_df = flux_df.explode(column=['run', 'time', 'start', 'end', 'flux']).sort_values(by=['run', 'time', 'start'])\n",
    "display(flux_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nearly there - now we want to combine the positive and negative flux for each reaction (notice at each timestep each reaction 1->j has two entries, one positive and one negative). For this, let's group by all of our id variables (so we'll create separate groups of each set of rows that have the same run, timestep, start and end states), sum their fluxes, and put it in a new row called flux. This is a pretty ugly syntax in my opinion, but it gets the job done - note flux=('flux', 'sum') sums the group along the flux column and creates a new row called flux - if we wanted to call the row net_flux, it'd be net_flux=('flux', 'sum')."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>flux</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run</th>\n",
       "      <th>time</th>\n",
       "      <th>start</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"12\" valign=\"top\">1</th>\n",
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       "      <td>1.5</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.1</th>\n",
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       "      <th>2</th>\n",
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       "      <td>2.6</td>\n",
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       "      <th>3</th>\n",
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       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.2</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <td>-0.3</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.3</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">2</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>2.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>3.3</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.1</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <td>0.4</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.2</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>1.25</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>3.5</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0.3</th>\n",
       "      <th>1</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <td>0.3</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>1</th>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    flux\n",
       "run time start end      \n",
       "1   0.0  1     2   -0.25\n",
       "         2     3    3.25\n",
       "         3     1     1.5\n",
       "    0.1  1     2     0.8\n",
       "         2     3     2.6\n",
       "         3     1     0.8\n",
       "    0.2  1     2    -0.3\n",
       "         2     3    1.95\n",
       "         3     1     3.7\n",
       "    0.3  1     2     0.5\n",
       "         2     3     3.4\n",
       "         3     1     0.0\n",
       "2   0.0  1     2   -0.45\n",
       "         2     3    2.35\n",
       "         3     1     3.3\n",
       "    0.1  1     2     0.4\n",
       "         2     3     0.8\n",
       "         3     1     4.4\n",
       "    0.2  1     2     0.5\n",
       "         2     3    1.25\n",
       "         3     1     3.5\n",
       "    0.3  1     2    0.05\n",
       "         2     3     0.3\n",
       "         3     1     5.8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = flux_df.groupby(by=['run', 'time', 'start', 'end']).agg(flux=('flux', 'sum'))\n",
    "display(grouped)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we have a weird hierarchical ordering with row values now - this works fine most of the time, but to get back to the more familiar and comforting layout, just call .reset_index() (assuming again that you're not using your index column for anything)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   run  time start end  flux\n",
       "0    1   0.0     1   2 -0.25\n",
       "1    1   0.0     2   3  3.25\n",
       "2    1   0.0     3   1   1.5\n",
       "3    1   0.1     1   2   0.8\n",
       "4    1   0.1     2   3   2.6\n",
       "5    1   0.1     3   1   0.8\n",
       "6    1   0.2     1   2  -0.3\n",
       "7    1   0.2     2   3  1.95\n",
       "8    1   0.2     3   1   3.7\n",
       "9    1   0.3     1   2   0.5\n",
       "10   1   0.3     2   3   3.4\n",
       "11   1   0.3     3   1   0.0\n",
       "12   2   0.0     1   2 -0.45\n",
       "13   2   0.0     2   3  2.35\n",
       "14   2   0.0     3   1   3.3\n",
       "15   2   0.1     1   2   0.4\n",
       "16   2   0.1     2   3   0.8\n",
       "17   2   0.1     3   1   4.4\n",
       "18   2   0.2     1   2   0.5\n",
       "19   2   0.2     2   3  1.25\n",
       "20   2   0.2     3   1   3.5\n",
       "21   2   0.3     1   2  0.05\n",
       "22   2   0.3     2   3   0.3\n",
       "23   2   0.3     3   1   5.8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time', ylabel='flux'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "net_flux_df = grouped.reset_index()\n",
    "display(net_flux_df)\n",
    "sns.lineplot(data=net_flux_df, x='time', y='flux', hue='start', style='run')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's just repeat all of those sets but for a much more involved data set - I have 5 runs of a stochastic simulation of a cyclic kinetic network with 4 states stored in this directory in .csv files, and a .txt file storing their rate matrix. We can repeat all of the exact steps we did here to calculate and plot net fluxes for this much more complicated case:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Run</th>\n",
       "      <th>Time</th>\n",
       "      <th>State</th>\n",
       "      <th>Probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000326</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2603</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.199617</td>\n",
       "      <td>4</td>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>1</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2605</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>2</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2606</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>3</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2607</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>4</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13088 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Run      Time State  Probability\n",
       "0     run0  0.000000     1         0.25\n",
       "1     run0  0.000000     2         0.25\n",
       "2     run0  0.000000     3         0.25\n",
       "3     run0  0.000000     4         0.25\n",
       "4     run0  0.000326     1         0.25\n",
       "...    ...       ...   ...          ...\n",
       "2603  run4  0.199617     4         0.11\n",
       "2604  run4  0.200171     1         0.06\n",
       "2605  run4  0.200171     2         0.19\n",
       "2606  run4  0.200171     3         0.62\n",
       "2607  run4  0.200171     4         0.13\n",
       "\n",
       "[13088 rows x 4 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Empty DF to concatenate our read CSV's to\n",
    "prob_df = pd.DataFrame({'Run': [], 'Time': [], 'State': [], 'Probability': []})\n",
    "\n",
    "# Cycle through all of the .csv files in this directory and concat to our empty DF\n",
    "path = '*.csv'\n",
    "for fname in glob.glob(path):\n",
    "    new_df = pd.read_csv(fname, index_col=0, dtype={'Run': 'string',\n",
    "                                                    'Time': np.float64,\n",
    "                                                    'State': 'string',\n",
    "                                                    'Probability': np.float64})\n",
    "    # Name the runs after the file names (without extention)\n",
    "    new_df['Run'] = fname.split('.')[0]\n",
    "    prob_df = pd.concat([prob_df, new_df])\n",
    "prob_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's plot just the first run:\n",
    "sns.lineplot(data=prob_df.loc[prob_df['Run'] == 'run0'], x='Time', y='Probability', hue='State')\n",
    "plt.title('first run only')\n",
    "plt.show()\n",
    "plt.close()\n",
    "\n",
    "# And all runs:\n",
    "sns.lineplot(data=prob_df, x='Time', y='Probability', hue='State')\n",
    "plt.title('All runs')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>run</th>\n",
       "      <th>time</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>flux</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-15.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>-30.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>run0</td>\n",
       "      <td>0.000326</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13083</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.199617</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>-7.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13084</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13085</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13086</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13087</th>\n",
       "      <td>run4</td>\n",
       "      <td>0.200171</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13088 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        run      time start end   flux\n",
       "0      run0  0.000000     1   2   5.25\n",
       "1      run0  0.000000     2   3    3.0\n",
       "2      run0  0.000000     3   4 -15.25\n",
       "3      run0  0.000000     4   1  -30.5\n",
       "4      run0  0.000326     1   2   5.25\n",
       "...     ...       ...   ...  ..    ...\n",
       "13083  run4  0.199617     4   1  -7.14\n",
       "13084  run4  0.200171     1   2  -0.56\n",
       "13085  run4  0.200171     2   3  -3.74\n",
       "13086  run4  0.200171     3   4   4.81\n",
       "13087  run4  0.200171     4   1  -4.87\n",
       "\n",
       "[13088 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Repeating all our steps from before: this is just copy/pasted from above. \n",
    "# You can and probably should wrap a function around sets of commands you do often\n",
    "# and build up a library of convenience wrapper functions that will roll all of those commands into one\n",
    "flux_df = prob_df.apply(add_flux, result_type='expand', axis=1, rates=rates, neg_direction_exceptions=[('4', '1')])\n",
    "\n",
    "flux_df = flux_df.explode(column=['run', 'time', 'start', 'end', 'flux']).sort_values(by=['run', 'time', 'start'])\n",
    "\n",
    "grouped = flux_df.groupby(by=['run', 'time', 'start', 'end']).agg(flux=('flux', 'sum'))\n",
    "\n",
    "net_flux_df = grouped.reset_index()\n",
    "\n",
    "display(net_flux_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Finally let's plot our new flux data!\n",
    "sns.lineplot(data=net_flux_df.loc[net_flux_df['run'] == 'run0'], x='time', y='flux', hue='start')\n",
    "plt.title('first run only')\n",
    "plt.show()\n",
    "plt.close()\n",
    "sns.lineplot(data=net_flux_df, x='time', y='flux', hue='start')\n",
    "plt.title('all runs')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is far from the only way of doing things and will depend on personal preference (and how fast you need it to be). See also:\n",
    "\n",
    "* polars: (https://pola.rs/) - DataFrames with a very similar feature set and syntax, but MUCH faster executing (and can convert back and forth between Pandas and Polars DFs easily) - if you're working with huge datasets and Pandas is too slow but you like the workflow, try doing it in Polars LazyFrames and then converting back to Pandas at the end.\n",
    "\n",
    "* xarray: (https://docs.xarray.dev/en/stable/#) - Higher dimensional tables (essentially 3+D DataFrames) - good if working with dimensional data in terms of slices of a higher dimensional table makes more sense to you, or if your data set (e.g. (x, y, z) coordinates) lends itself to that better, and again is easy to convert to and from Pandas\n",
    "\n",
    "* numba: (https://numba.pydata.org/) - cython for lazy people - if your code is mostly just math on numpy arrays, adding a numba declaration can automatically compile it to much faster executing code - but it's picky and can be annoying. Pandas is slowly adding support for using it with DF columns - df.apply() has a engine='numba' kwarg in the latest updates.\n",
    "\n",
    "* Just do everything in numpy arrays and cast to a DF at the end (or just plot straight from the array) - nothing wrong with that if it works well for how you work, and it's certainly one of the fastest options (especially with numba)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "lpy",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}