Data visualization (matplotlib)

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Data visualization (matplotlib)

4;5>'2O2OMatptotilbPrepared by Asif BhatData Visualization With Python (Matplotlib - Part 1)In [74]:import numpy as npimport pandas as pdimport matplo

Data visualization (matplotlib) otlib as mplimport matplotlib.pyplot as pit%matplotlib inlinein [75]:#Graph Sty Ling# https://tonysyu.github.io/raw_content/matpLotLib-styLe-gaLLery/g

aLLery.htmL pit. style.use(■seaborn-darkgrid')Line GraphsIn [76]:# By defauLt PLot() function will draw a Line chart.X = np.array([l>2,3,4,5J6])y = np Data visualization (matplotlib)

.power(x,3)pit,plot(x,y)pit.show()12345e>ocalhost:8888.,notetxx)kS'Oocuments.,GitHub.lPublic.'Data-Vlsualizatiori.'Maiplotlib.ipynb288564.'Si'2020Matp

Data visualization (matplotlib)

totlíbIn [77]:X = np.lin$pace(0, 10, 1000) y = np.sin(x) # sine Graph plt.plot(x,y) pit.show()1000.755025a CO-0S5•0.50-0.75-1In [78]:

4;5>'2O2OMatptotilbPrepared by Asif BhatData Visualization With Python (Matplotlib - Part 1)In [74]:import numpy as npimport pandas as pdimport matplo