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        "author": "Adel KARA SLIMANE",
        "author_email": "adel.ks@zegrapher.com",
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        "description": "## csv_manager\n\nThis is a python module that features two simple classes for reading (class `Reader`) and plotting (class `Plotter`), and a method for writing CSVs, using Matplotlib (Latex rendering enabled) for the plots.\n\nBy using this module, the user avoids the cumbersome repetition of coding a csv reader using the `csv` python library then making the data in a readable structure for `plt.plot(...)`.\n\nAn example is written in `example/csv_plot_example.py`, that showcases what can be done with this module:\n\n```python\nfrom csv_manager.plotter import Plotter\n# Plotter inherits the class Reader\n\nplotter = Plotter(num_rows=1, num_columns=2)\n# Number of rows and columns for plt.sublots\n\nfile1 = 'data_file_1.csv'\nfile2 = 'data_file_2.csv'\n\nplotter.load(file1, alias='dataset1')\nplotter.load(file2, alias='dataset1')\n#Both files are loaded in the same `dataset`, if column names collide, the latest ones get \"_b\" appended to their name\n\nplotter.show_loaded_data()\n# prints the loaded datasets. For each dataset, is printed:\n# - the source files the data has been loaded from\n# - the column names\n\nplotter.get_column_names('dataset1')\n# returns the list of column names of the dataset `dataset1`\n\n######################################################\n\nplotter.plot('dataset1', 'time', 'position', 0, 0, label='position $x(t)$', color='red', linestyle=':')\n# Starting from \" label='save' [...]\" the arguments are the **kwargs in https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html\nplotter.plot('dataset1', 'time', 'speed', 0, 0, label='speed $v(t)$', color='blue', linestyle='--')\n\nplotter.plot('dataset1', 'time', 'position + sqrt(2/10 * speed)', 0, 1, label='dummy curve from expression')\n\nplotter.plot_data(0, 0, [0, 1, 2], [0, 1, 2], label='dummy data')\n\nplotter.set(0, 0, xlabel='Time ', ylabel='Position')\n# Starting from \" xlabel='time' [...]\" the options that can be set are the **kwargs in https://matplotlib.org/api/axes_api.html\n\nplotter.set(0, 1, xlabel='Time ', ylabel='Dummy data')\n\nplotter.show()\n```\n\nThe file `example/data_file_1.csv` looks like the following:\n\n```csv\ntime position\n0 0\n1 5\n2 20\n3 45\n4 80\n5 125\n6 180\n7 245\n8 320\n9 405\n10 500\n```\n\nThe file `example/data_file_2.csv` looks like the following:\n\n```csv\ntime speed\n0 0\n1 3\n2 3.6\n3 2\n4 5\n5 8\n6 9\n7 10\n8 9.1\n9 8\n10 7\n```\n\n## Dependencies:\n\n- Python Matplotlib\n- Python [py_expression_eval](https://github.com/Axiacore/py-expression-eval), can be installed with `pip install py_expression_eval`\n- Latex distribution installed in your computer, can be deactivated in csv_plotter.py by changing the following line `plt.rcParams['text.usetex'] = True` to `plt.rcParams['text.usetex'] = False`\n\n\n",
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        "license": "The Unlicense",
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        "name": "csv-manager",
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