Matplotlib basics.ipynb

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Sarode","userId":"15845150794163421798"}},"outputId":"29e29f15-0027-4fa6-ab9a-dd10cb59c615"},"execution_count":2,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# plot a single point using matplotlib. display a point at the coordinate (0.5, 0.5)\n","point = (0.5, 0.5)\n","\n","fig, ax = plt.subplots(1, 1)\n","fig.set_size_inches(5,5)\n","ax.plot(point[0], point[1], color='red', marker='o')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":445},"id":"QYqJRkHx6R7z","executionInfo":{"status":"ok","timestamp":1683911147230,"user_tz":-330,"elapsed":505,"user":{"displayName":"Prachi Sarode","userId":"15845150794163421798"}},"outputId":"4e6e0786-afb0-493f-eee7-b56ca475d74c"},"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["points = [(0.1, 0.5), (0.5, 0.5), (0.9, 0.5)]\n","\n","# But to plot it, matplotlib require 2 separate lists or x and y coordinates. Here we can use the zip() function to create list of x and y coordinates.\n","x, y = zip(*points)\n","print(x)\n","print(y)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xVXIcR887OtM","executionInfo":{"status":"ok","timestamp":1683911386196,"user_tz":-330,"elapsed":5,"user":{"displayName":"Prachi Sarode","userId":"15845150794163421798"}},"outputId":"3f41af6a-ecde-4e17-cfea-c2a5bdd55e9d"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["(0.1, 0.5, 0.9)\n","(0.5, 0.5, 0.5)\n"]}]},{"cell_type":"code","source":["fig, ax = plt.subplots(1, 1)\n","fig.set_size_inches(5,5)\n","ax.plot(x, y, color='green', marker='o', linestyle='None')\n","\n","output_folder = '/content/drive/MyDrive/Colab Notebooks/python_dataviz/output'\n","output_path = os.path.join(output_folder, 'simple1.png')\n","plt.savefig(output_path)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":445},"id":"Zg6FeoB28JSr","executionInfo":{"status":"ok","timestamp":1683911712324,"user_tz":-330,"elapsed":642,"user":{"displayName":"Prachi Sarode","userId":"15845150794163421798"}},"outputId":"273dfcf8-d00a-47f8-f897-f88696a62ab5"},"execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# exercise 1\n","point1 = [(0.2, 0.5), (0.3, 0.5), (0.4, 0.5)]\n","\n","a, b = zip(*point1)\n","\n","fig, ax = plt.subplots(1, 1)\n","fig.set_size_inches(5,5)\n","ax.plot(a, b, color='green', marker='^', linestyle='None')\n","\n","output_folder = '/content/drive/MyDrive/Colab Notebooks/python_dataviz/output'\n","output_path = os.path.join(output_folder, 'simple2.png')\n","plt.savefig(output_path)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":445},"id":"8NHAvqDT8V5N","executionInfo":{"status":"ok","timestamp":1683912118280,"user_tz":-330,"elapsed":1253,"user":{"displayName":"Prachi Sarode","userId":"15845150794163421798"}},"outputId":"df1302e4-eafa-4718-c20a-b6f7b9437d62"},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"ylPjl4zH-yxM"},"execution_count":null,"outputs":[]}]}