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ENH: updated python library notebooks
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jrobrien91 committed Jul 11, 2023
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17 changes: 13 additions & 4 deletions Tutorials/UPR-ACT-2023/3a-scientific_libraries_numpy.ipynb
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"id": "89266885",
"metadata": {},
"source": [
"# Working with Numpy"
"# Working with Numpy\n",
"\n",
"From the [NumPy documentation](https://numpy.org/doc/stable/user/whatisnumpy.html):\n",
"\n",
"> NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation, and much more.\n",
"\n",
"NumPy's position at the center of the scientific Python ecosystem means that all users should start here in their learning journey through the core scientific packages.\n",
"\n",
"Additional Tutorials:\n",
"- [Project Pythia NumPy](https://foundations.projectpythia.org/core/numpy.html)"
]
},
{
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"id": "c4efbde7",
"metadata": {},
"source": [
"Numpy is based on arrays of data, with all values having the same data type in the array. This greatly increases computational performance. Can convert between basic Python and Numpy data space easily and quickly."
"Numpy is based on arrays of data, with **all values having the same data type in the array**. This greatly increases computational performance. Can convert between basic Python and Numpy data space easily and quickly."
]
},
{
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"metadata": {},
"source": [
"### The IEEE Not A Number value\n",
"There is a special Numpy value called NaN which is used in calculations to represent a value that is not a number. Think of it as missing data, or a bad value that should not be propigated through the data. One of the most important things to remember about NaN is that it taints anything it touches!"
"There is a special Numpy value called NaN which is used in calculations to represent a value that is **not a number**. Think of it as missing data, or a bad value that should not be propigated through the data. One of the most important things to remember about NaN is that it taints anything it touches!"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.11.4"
}
},
"nbformat": 4,
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23 changes: 11 additions & 12 deletions Tutorials/UPR-ACT-2023/3b-scientific_libraries_pandas.ipynb
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"metadata": {},
"source": [
"# Working with Pandas\n",
"Pandas is an extension of the Numpy data model to structure and organize data into DataFrames. A DataFrame resembles a spreadsheet in looks, but is much more powerful."
"\n",
"From the [Pandas Documentation](https://pandas.pydata.org/docs/getting_started/overview.html)\n",
"> pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. \n",
"\n",
"Pandas is an extension of the Numpy data model to structure and organize data into DataFrames. A DataFrame resembles a spreadsheet in looks, but is much more powerful.\n",
"\n",
"Additional Tutorials\n",
"- [ProjectPythia Pandas Tutorial](https://foundations.projectpythia.org/core/pandas.html)"
]
},
{
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"metadata": {},
"outputs": [],
"source": [
"filename = Path('data', 'sgpmetE13.b1', 'sgpmetE13.00.20191105.150801.raw.dat')\n",
"filename = Path('data', 'MET', 'sgpmetE13.00.20230707.205900.raw.MET_Table1.20230707200000.dat')\n",
"data = pd.read_csv(filename, delimiter=',', header=0, skiprows=[0, 2, 3], parse_dates=[0])\n",
"\n",
"data"
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"metadata": {},
"outputs": [],
"source": [
"rh_rolling_mean = data.rolling(10, min_periods=2).max()\n",
"rh_rolling_mean = data['RH_Avg'].rolling(10, min_periods=2).max()\n",
"rh_rolling_mean"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bb761687",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
"version": "3.11.4"
}
},
"nbformat": 4,
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26 changes: 19 additions & 7 deletions Tutorials/UPR-ACT-2023/3c-scientific_libraries_xarray.ipynb
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"metadata": {},
"source": [
"# Working with Xarray\n",
"\n",
"From the [Xarray Documentation](https://docs.xarray.dev/en/stable/getting-started-guide/why-xarray.html)\n",
"> Multi-dimensional (a.k.a. N-dimensional, ND) arrays (sometimes called “tensors”) are an essential part of computational science. They are encountered in a wide range of fields, including physics, astronomy, geoscience, bioinformatics, engineering, finance, and deep learning. In Python, NumPy provides the fundamental data structure and API for working with raw ND arrays. However, real-world datasets are usually more than just raw numbers; they have labels which encode information about how the array values map to locations in space, time, etc.\n",
"\n",
"> Xarray doesn’t just keep track of labels on arrays – it uses them to provide a powerful and concise interface.\n",
"\n",
"Xarray is a class of objects added to the regular python system that allows storing data in a more organized method. The format is very similar to netCDF classic model (netCDF3). It can read netCDF files efficiently and handle some issues associated with incorrectly designed netCDF files.\n",
"\n",
"Xarray also has extetions to use the Numpy, Pandas, Dask and SciPy libaries directly. Think of Xarray as a tool for organizing data in a way that other libaries can be used on the data efficiently.\n",
"\n",
"The primary difference between Xarray and Pandas is that Pandas is designed to handle 1-D data while Xarray can handle n-D data and metadata about the data.\n",
"**The primary difference between Xarray and Pandas is that Pandas is designed to handle 1-D data while Xarray can handle n-D data and metadata about the data.**\n",
"\n",
"The one downside is that Xarray has very powerful functions with less great documentation. May need to dig a bit to get the best way to perform a task."
"Additional Tutorials:\n",
"- [ProjectPythia Xarray Tutorial](https://foundations.projectpythia.org/core/xarray.html)"
]
},
{
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"outputs": [],
"source": [
"import numpy as np\n",
"import xarray as xr # Convention is to import xarray as xr"
"import xarray as xr # Convention is to import xarray as xr\n",
"\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
"warnings.filterwarnings(\"ignore\", category=UserWarning)"
]
},
{
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"outputs": [],
"source": [
"from pathlib import Path\n",
"filename = Path('data', 'sgpmetE13.b1', 'sgpmetE13.b1.20191101.000000.cdf')\n",
"filename = Path('data', 'MET', 'sgpmetE13.b1.20230707.000000.cdf')\n",
"met_ds = xr.open_dataset(filename)\n",
"met_ds"
]
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"metadata": {},
"outputs": [],
"source": [
"filename = str(Path('data', 'sgpmetE13.b1', 'sgpmetE13.b1.*.cdf'))"
"filename = str(Path('data', 'MET', 'sgpmetE13.b1.*.cdf'))"
]
},
{
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"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, axes = plt.subplots(nrows=2)\n",
"fig, axes = plt.subplots(nrows=2, figsize=[12, 8])\n",
"plt.subplots_adjust(hspace=0.4) # changes width between subplots\n",
"met_ds['temp_mean'].plot(ax=axes[0])\n",
"met_ds['rh_mean'].plot(ax=axes[1])"
]
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.11.4"
}
},
"nbformat": 4,
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64 changes: 64 additions & 0 deletions ...ials/UPR-ACT-2023/data/MET/sgpmetE13.00.20230707.205900.raw.MET_Table1.20230707200000.dat
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"TOA5","MET","CR1000","84938","CR1000.Std.31.02","CPU:SGP_E13_MET_20210128.CR1","16813","Table1"
"TIMESTAMP","RECORD","batt_volt","PTemp","Pressure_kPa","Temp_C_Avg","Temp_C_Std","RH_Avg","RH_Std","Vap_Pressure_kPa_Avg","Vap_Pressure_kPa_Std","WS_MS_S_WVT","WS_MS_U_WVT","WindDir_DU_WVT","WindDir_SDU_WVT","rain_mm_Tot","rain_mm_min_corrected","PWDa_ID","PWDa_Alarms","PWDa_Vis_Avg_1min","PWDa_Vis_Avg_10min","PWDa_Code_instant","PWDa_Code_15min","PWDa_Code_1hour","PWDa_H2O_Int_Avg_1min","PWDa_Total_H2O_mm","PWDa_Total_Snow_mm","PCP_Rate","WS_Slope","WS_Offset","TBRG_SN","RainCoefA","RainCoefB"
"TS","RN","","","","","","","","","","","","Deg","Deg","","","","","","","","","","","","","","","","","",""
"","","Smp","Smp","Smp","Avg","Std","Avg","Std","Avg","Std","WVc","WVc","WVc","WVc","Tot","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp"
"2023-07-07 20:00:00",1281531,12.99,23.75,97.65,21.77,0.022,100,0.094,2.607,0.004,1.691,1.676,124.5,7.627,0,0,1,0,20000,20000,61,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:01:00",1281532,12.98,23.75,97.64,21.77,0.019,100,0.108,2.608,0.004,2.112,2.1,128.2,6.189,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:02:00",1281533,12.98,23.75,97.64,21.77,0.026,100,0.124,2.606,0.005,2.332,2.296,143.9,10.18,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:03:00",1281534,12.99,23.75,97.64,21.82,0.018,100,0.092,2.616,0.004,2.767,2.757,154.2,4.735,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:04:00",1281535,12.99,23.78,97.64,21.85,0.031,100.1,0.123,2.62,0.006,3.028,3.022,165.9,3.619,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:05:00",1281536,12.99,23.78,97.64,21.99,0.022,100,0.086,2.642,0.004,3.291,3.288,168,2.538,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:06:00",1281537,12.98,23.78,97.64,22.01,0.018,100,0.109,2.645,0.004,3.27,3.257,166.8,5.177,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:07:00",1281538,13.01,23.81,97.64,21.99,0.013,100,0.075,2.642,0.003,2.986,2.976,175.1,4.657,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:08:00",1281539,12.99,23.81,97.65,22,0.016,100.1,0.112,2.645,0.004,3.036,3.022,179.6,5.606,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:09:00",1281540,12.98,23.81,97.65,22.03,0.032,100.1,0.126,2.649,0.006,2.545,2.535,195.5,5.069,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:10:00",1281541,12.98,23.84,97.66,22.05,0.02,100,0.085,2.652,0.003,2.104,2.059,210.5,11.81,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:11:00",1281542,12.98,23.84,97.66,22.06,0.019,100,0.11,2.653,0.004,1.779,1.761,222.6,8.18,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:12:00",1281543,12.98,23.87,97.66,22.1,0.026,100.1,0.081,2.66,0.005,1.674,1.657,230.5,8.32,0,0,1,0,20000,20000,0,61,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:13:00",1281544,12.99,23.87,97.66,22.08,0.034,100,0.123,2.657,0.007,1.385,1.37,228.8,8.4,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:14:00",1281545,12.98,23.9,97.65,22.05,0.021,100,0.079,2.652,0.004,0.366,0.359,220.4,10.97,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:15:00",1281546,12.99,23.9,97.65,22.03,0.035,100,0.102,2.648,0.006,0.046,0.046,186.2,0.467,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:16:00",1281547,12.99,23.93,97.64,21.97,0.03,100,0.077,2.639,0.005,0.501,0.47,70.49,19.88,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:17:00",1281548,12.99,23.96,97.63,22.18,0.066,100.1,0.108,2.674,0.011,1.067,1.062,39.65,5.317,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:18:00",1281549,12.98,23.99,97.63,22.21,0.052,100,0.113,2.678,0.009,1.169,1.165,25.81,5.085,0,0,1,0,20000,20000,0,23,63,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:19:00",1281550,12.98,24.01,97.62,22.18,0.031,100,0.097,2.672,0.006,1.331,1.324,27.32,6.117,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:20:00",1281551,12.98,24.01,97.62,22.28,0.018,100,0.077,2.69,0.004,1.344,1.341,28.47,4.14,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:21:00",1281552,12.99,24.07,97.62,22.34,0.047,100,0.094,2.698,0.009,0.853,0.836,38.98,11.26,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:22:00",1281553,12.99,24.1,97.62,22.42,0.042,100.1,0.117,2.713,0.007,0.588,0.576,76.34,11.61,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:23:00",1281554,12.98,24.13,97.62,22.38,0.023,100,0.1,2.705,0.005,0.836,0.762,122.7,24.16,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:24:00",1281555,12.99,24.16,97.62,22.23,0.051,100,0.134,2.68,0.009,1.031,1.03,145.9,1.819,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:25:00",1281556,12.98,24.19,97.61,22.26,0.04,100.1,0.098,2.688,0.006,1.699,1.687,151.9,6.813,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:26:00",1281557,12.97,24.25,97.61,22.32,0.023,100,0.113,2.696,0.004,1.767,1.765,160.2,3.124,0,0,1,0,20000,20000,0,23,62,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:27:00",1281558,12.98,24.25,97.61,22.47,0.08,100,0.087,2.72,0.013,1.715,1.689,154.1,9.94,0,0,1,0,20000,20000,0,23,61,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:28:00",1281559,12.98,24.3,97.6,22.63,0.05,100.1,0.073,2.747,0.008,1.878,1.862,156.3,7.499,0,0,1,0,20000,20000,0,23,61,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:29:00",1281560,12.98,24.33,97.6,22.64,0.017,100,0.111,2.749,0.005,2.378,2.371,158.4,4.323,0,0,1,0,20000,20000,0,23,61,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:30:00",1281561,12.97,24.36,97.6,22.66,0.014,100,0.082,2.751,0.003,2.592,2.585,154.1,4.16,0,0,1,0,20000,20000,0,23,61,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:31:00",1281562,12.98,24.42,97.6,22.62,0.019,98.9,0.831,2.715,0.025,2.79,2.785,148.5,3.161,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:32:00",1281563,12.99,24.45,97.6,22.7,0.08,99.7,0.716,2.75,0.029,2.439,2.405,159.5,9.49,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:33:00",1281564,12.97,24.51,97.59,22.9,0.023,100,0.109,2.792,0.005,2.726,2.713,152.2,5.607,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:34:00",1281565,12.97,24.54,97.59,22.87,0.025,99.9,0.345,2.782,0.013,2.71,2.695,156.7,6.039,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:35:00",1281566,12.98,24.57,97.58,22.92,0.059,99.8,0.483,2.789,0.022,2.834,2.796,154.6,9.32,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:36:00",1281567,12.99,24.6,97.58,22.95,0.035,100,0.115,2.801,0.007,3.373,3.364,162.2,4.04,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:37:00",1281568,12.97,24.66,97.57,22.92,0.028,100.1,0.108,2.796,0.006,3.704,3.684,150.9,6.079,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:38:00",1281569,12.98,24.69,97.57,22.9,0.036,98.9,1.123,2.761,0.037,4.116,4.102,154.1,4.661,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:39:00",1281570,12.97,24.72,97.57,22.88,0.016,97.3,0.487,2.713,0.014,4.175,4.171,153.4,2.404,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:40:00",1281571,12.96,24.75,97.56,22.86,0.018,93.9,0.924,2.615,0.027,3.833,3.828,151.4,3.018,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:41:00",1281572,12.97,24.78,97.56,22.91,0.042,93.9,0.954,2.623,0.033,3.554,3.543,153.1,4.465,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:42:00",1281573,12.97,24.84,97.56,23.14,0.104,99.1,1.231,2.809,0.05,2.938,2.908,153,8.22,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:43:00",1281574,12.97,24.87,97.56,23.31,0.012,97.9,1.708,2.8,0.049,3.262,3.24,153.3,6.62,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:44:00",1281575,12.97,24.89,97.56,23.46,0.04,99.3,1.076,2.868,0.035,3.517,3.5,161.6,5.621,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:45:00",1281576,12.97,24.92,97.55,23.42,0.03,91.5,1.124,2.636,0.035,3.51,3.505,165.9,3.122,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:46:00",1281577,12.95,24.98,97.55,23.44,0.016,91.7,0.524,2.645,0.016,3.559,3.55,162.2,4.121,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:47:00",1281578,12.95,25.01,97.54,23.43,0.023,91.6,0.84,2.641,0.026,3.255,3.247,160,4.141,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:48:00",1281579,12.96,25.07,97.55,23.42,0.042,91.5,1.959,2.638,0.062,2.757,2.745,150.1,5.292,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:49:00",1281580,12.97,25.1,97.55,23.49,0.021,92.8,1.748,2.684,0.052,2.942,2.929,151.8,5.266,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:50:00",1281581,12.96,25.16,97.55,23.55,0.032,92.1,0.368,2.674,0.014,2.386,2.345,140.1,10.6,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:51:00",1281582,12.97,25.19,97.55,23.55,0.036,90.8,1.078,2.636,0.036,2.128,2.102,136.3,9,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:52:00",1281583,12.96,25.25,97.55,23.64,0.019,92.8,0.841,2.71,0.025,2.362,2.327,132.7,9.89,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:53:00",1281584,12.97,25.28,97.56,23.63,0.01,88.8,0.808,2.591,0.024,2.468,2.435,118.7,9.37,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:54:00",1281585,12.95,25.31,97.55,23.62,0.014,87.9,0.793,2.563,0.025,2.445,2.424,121.6,7.572,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:55:00",1281586,12.94,25.37,97.56,23.66,0.035,90.5,2.192,2.645,0.069,2.182,2.146,141.5,10.48,0,0,1,0,20000,20000,0,23,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:56:00",1281587,12.95,25.46,97.56,23.77,0.059,89.9,1.307,2.644,0.046,2.537,2.484,137.9,11.7,0,0,1,0,20000,20000,0,0,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:57:00",1281588,12.96,25.52,97.55,23.9,0.023,87.6,1.465,2.596,0.043,2.786,2.777,126.8,4.643,0,0,1,0,20000,20000,0,0,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:58:00",1281589,12.96,25.58,97.56,23.89,0.025,85.4,0.836,2.529,0.027,2.849,2.836,112.8,5.384,0,0,1,0,20000,20000,0,0,23,0,81.65,0,0,0.098,0,116,0.001,0.999
"2023-07-07 20:59:00",1281590,12.95,25.64,97.55,23.87,0.024,83,0.966,2.457,0.03,3.108,3.1,129.2,4.288,0,0,1,0,20000,20000,0,0,23,0,81.65,0,0,0.098,0,116,0.001,0.999
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