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Python Matplotlib Tutorial | Matplotlib Tutorial | Python Tutorial | Python Training
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Quick Introduction
Few popular libraries are:
matplotlib: It is the most widely used Python Data Visualization library.
seaborn: It is used for generating informative statistical graphics. It is dependent on matplotlib.
bokeh: It is used for generating interactive plots, which can be accessed as JSON, HTML objects, or interactive web applications.
Quick intro. about this session
* Creating a Figure
* Line Plot (Single Line\ Multi Line)
* Scatter Plot
* Bar Graph
* Plotting Multiple Group in Bar
* Horizontal Bar
* Pie Plot
* Histogram
* Matplotlib Styles
* Subplots
* Subplots Using 'GridSpec'
Hands-on
JupyterNotebook Available in
Few popular libraries are:
matplotlib: It is the most widely used Python Data Visualization library.
seaborn: It is used for generating informative statistical graphics. It is dependent on matplotlib.
bokeh: It is used for generating interactive plots, which can be accessed as JSON, HTML objects, or interactive web applications.
Quick intro. about this session
* Creating a Figure
* Line Plot (Single Line\ Multi Line)
* Scatter Plot
* Bar Graph
* Plotting Multiple Group in Bar
* Horizontal Bar
* Pie Plot
* Histogram
* Matplotlib Styles
* Subplots
* Subplots Using 'GridSpec'
Hands-on
JupyterNotebook Available in