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52 строки
1.6 KiB
Plaintext
52 строки
1.6 KiB
Plaintext
https://matplotlib.org
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https://github.com/matplotlib/matplotlib
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https://matplotlib.org/gallery.html
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tutorials
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https://matplotlib.org/tutorials/index.html
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https://www.datacamp.com/community/tutorials/matplotlib-tutorial-python
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cheatsheet
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https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet
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https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Matplotlib_Cheat_Sheet.pdf
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https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib.ipynb
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axes
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https://matplotlib.org/api/axes_api.html
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https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.plot.html
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https://www.labri.fr/perso/nrougier/teaching/matplotlib/
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xtick
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https://matplotlib.org/examples/ticks_and_spines/ticklabels_demo_rotation.html
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https://stackoverflow.com/questions/26358200/xticks-by-pandas-plot-rename-with-the-string
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https://jakevdp.github.io/PythonDataScienceHandbook/04.10-customizing-ticks.html
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ticker
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https://matplotlib.org/api/ticker_api.html
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formatter
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https://matplotlib.org/gallery/api/date_index_formatter.html
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https://matplotlib.org/gallery/ticks_and_spines/date_index_formatter.html
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plotting categorical
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https://matplotlib.org/gallery/lines_bars_and_markers/categorical_variables.html
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import matplotlib.pyplot as plt
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data = {'apples': 10, 'lemons': 5, 'limes': 20, 'oranges': 15}
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names = list(data.keys())
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values = list(data.values())
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%mathplotlib inline
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plt.plot(names, values)
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subplots
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https://pandas.pydata.org/pandas-docs/stable/visualization.html#subplots
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defaults
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import matplotlib.pyplot as plt
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print(plt.rcParams) # to examine all values
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print(plt.rcParams.get('figure.figsize')
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