{"id":20733354,"url":"https://github.com/moindalvs/learn_visualization_on_matplotlib","last_synced_at":"2025-03-11T10:37:54.649Z","repository":{"id":127429264,"uuid":"474278901","full_name":"MoinDalvs/Learn_Visualization_on_Matplotlib","owner":"MoinDalvs","description":"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. 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To the figure you add Axes. \n+  The Axes is the area on which the data is plotted. \n+  A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers.  \n+  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!\n### Method I\n### Method II\n+ When you want to control individual elements\n+ Example\n+ ax.set_xlabel('Some Label', size=25)\n+ Using the pyplot methods\n### Sub Plots\n### Categorical Vs Numeric\n+ Bar Chart\n+ Horizontal Bar Chart\n+ Pie Chart\n### Input Data: Univariate (1D Series)\n+ Histogram\n+  BoxPlot\n### Input Data: Bivariate (2D Series)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoindalvs%2Flearn_visualization_on_matplotlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmoindalvs%2Flearn_visualization_on_matplotlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoindalvs%2Flearn_visualization_on_matplotlib/lists"}