learning data visualization with python (step 2)

In the step 2, I make a heat map in the python and jupyter. While doing that I learn I need to import different library in jupytor.

The first library is pandas it usually import with shortcut pd. The function of panda library is to import CSV data and plot it wherever it need.

Second library is pyplot from matplotlib library. The function of this library is to plot the csv data in the figure. Song plt create a plotting area for further plotting method.

Another library that I add was seaborn. The function of this library is to make statistical graphic in python. The matplotlib plot simple line graphics while seaborn have variety of data plotting patterns.

The last one library I used is numpy. The function of this library is to process array. When we are using mathematical or arithmetic function, we should use numpy.

While choosing the color or while writing the code if we did some mistake then the suggestion refer the tutorial about that particular coding, and give the suggestion message to the user. Here in the example below, I write the different name where I should have write the color name.  The software give the suggestion message.

Published by Dibash Adhikari

I am a qualified architect and urban planner actively engaged in research exploring the areas of digital fabrication, virtual reality, and smart city development.

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