Python charts with Matplotlib

Python charts with Matplotlib: In this section of we will be focusing towards matplotlib. Matplotlib learning in python explains how to create Line chart, Bar chart, Histogram, Scatter plot , boxplot etc.

                                            python basics tutorial

1) Line plot or Line chart in Python with Legends:

In this section we will learn how to plot Line chart in python using matplotlib. This python Line chart learning also includes the steps to create multiple line chart, Formatting the axis, using labels and legends.

 

2) Pie Chart in Python with Legends:

In this section we will learn how to create pie chart in python with matplot library using an example. This python Pie chart learning also includes the steps to create pie chart with percentage values, pie chart with labels and legends.

 

3) Scatter plot in Python using matplotlib:

In this section we will learn how to create Scatter plot in python with matplotlib. This python Scatter plot learning also includes the steps to create scatter plot by groups in which scatter plot is created for different groups.

 

4) Bar Plot or Bar Chart in Python with legend:

This section explains  how to create Bar chart in python with legends using matplotlib. This python Bar plot learning also includes the steps to create Horizontal Bar plot, Vertical Bar plot, Stacked Bar plot and Grouped Bar plot.

 

5) Box plot in Python with matplotlib:

This section explains  how to create Box plot in python using matplotlib with an example. This python Box plot learning also includes the steps to create Horizontal Box plot, Vertical Box plot and box plot with notch.

 

6)  Create Histogram in Python using matplotlib:

In this section we will learn how to create Histogram in python using matplotlib with an example. This python Histogram learning also includes the steps to create Histogram with step type (no fills) and bar type (with fills).

 

python basics tutorial

Author

  • Sridhar Venkatachalam

    With close to 10 years on Experience in data science and machine learning Have extensively worked on programming languages like R, Python (Pandas), SAS, Pyspark.