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 1 month 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 (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-26T08:00:48.000Z (almost 3 years ago)
• Last Synced: 2024-11-17T05:28:02.787Z (3 months 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
• Metadata Files:
  • Readme: README.md

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README

        
# 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!

### Method I

### Method II

+ When you want to control individual elements

+ Example

+ ax.set_xlabel('Some Label', size=25)

+ Using the pyplot methods

### Sub Plots

### Categorical Vs Numeric

+ Bar Chart

+ Horizontal Bar Chart

+ Pie Chart

### Input Data: Univariate (1D Series)

+ Histogram

+  BoxPlot

### Input Data: Bivariate (2D Series)