bar (, physics, label = "Physics", color = 'r', width =. bar (, avg_marks, label = "Average", width =. Just a note before starting is that we use a virtual environment for this lesson which we made with the following command: Cartopy is a much complex mapping library which even provides image transformation features apart from point, line & polygon projections.Excel tools can be used to exchange data between MS Excel and Matplotlib.Natgrid can be used to grid irregular data into spaced data.
Basemap is a map plotting library that provides features to create map projects, coastlines and political boundaries.Some toolkits which extend the functionality of Python Matplotlib are: Due to its pluggable nature, this package can be used in any GUI applications, Web application servers or simple Python scripts. The matplotlib.pyplot is a graph plotting package which can be used to construct 2-dimensional graphics using Python programming language. Some alternatives for Python Matplotlib.Types of Plots we can construct, like Bar Graph, Histogram, Scatter Plot, Area Plot and Pe Chart.To make this lesson complete, we will cover the following sections: In this lesson on Python Matplotlib library, we will look at various aspects of this data visualisation library which we can use with Python to generate beautiful and intuitive graphs which can visualise data in a form which business wants from a platform.
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