MatlibPlot & Seaborn Python Libs
Reviewing theses Plotting & Statistics Packs— #PySeries#Episode 19
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. screenshots.
Seaborn is a library that uses Matplotlib underneath to plot graphs. It will be used to visualize random distributions.
Fine!
Answer this ten questions:)
Exercises:
Follow the instructions to recreate the plots using this data:
01#PyEx — Python — MatlilPlot & Seaborn —Data :
Dataimport numpy as np x = np.arange(0,20) y = x**2 + 1000 z = x**3 - x**2
02#PyEx — Python — MatlilPlot & Seaborn — Importing MatlibPlot:
Import matplotlib.pyplot as plt03#PyEx — Python — MatlilPlot & Seaborn —Plotting Graphs :
Plot (x,y), set the x-axis label to 'x', set the y-axis label to 'y' and set the title to 'TITLE' as in the figure below:
04#PyEx — Python — MatlilPlot & Seaborn —Plotting Graphs :
Now plot (x, z) to recreate the plot below. Observe the labels and limits of the axis on the plot:
05#PyEx — Python — MatlilPlot & Seaborn —Plotting Graphs :
Plot (x, y) and (x, z) as in the plot below. Notice the legend:
06#PyEx — Python — MatlilPlot & Seaborn —Plotting Graphs :
Use plt.subplots(nrows=1, ncols=2) to create the plot below. Note the colors and line styles:
07#PyEx — Python — MatlilPlot & Seaborn — Plotting Graphs :
Resize the plot to (5, 15) as in the figure below.
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Until next time!
I wish you excellent day!
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Cheers!
Google Colab Notebooks are here:
Colab Notebook Anwers link:)
Google Drive link:)
Credits & References
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