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https://github.com/moindalvs/learn_visualization_on_matplotlib
Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!
https://github.com/moindalvs/learn_visualization_on_matplotlib
barchart bivariate-analysis boxplot horizontal-bar-charts matplotlib matplotlib-pyplot matplotlib-python matplotlib-tutorial piechart subplots univariate-analysis
Last synced: about 11 hours ago
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Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!
- Host: GitHub
- URL: https://github.com/moindalvs/learn_visualization_on_matplotlib
- Owner: MoinDalvs
- Created: 2022-03-26T07:49:19.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-03-26T08:00:48.000Z (over 2 years ago)
- Last Synced: 2023-03-08T12:08:20.854Z (over 1 year ago)
- Topics: barchart, bivariate-analysis, boxplot, horizontal-bar-charts, matplotlib, matplotlib-pyplot, matplotlib-python, matplotlib-tutorial, piechart, subplots, univariate-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 354 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0