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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 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)