Everything about plotting in python. Matplotlib is cornerstone for visualisations in data science and many scientific plotting area as well.
Matplotlib is the cornerstone for visualisations in data science and many scientific plotting areas as well. However, the
_plt_function may seem easy, the parameters are overwhelming. As based on the tutorial shown at the bottom, I summarised a copy of the format for plotting in python:
import matplotlib as mpl import matplotlib.pyplot as plt plt.style.use('seaborn') mpl.rcParams['font.family'] = 'serif' %matplotlib inline #1\. create a figure,like canvas fig = plt.figure() #2\. add plots inside that figure you just created ax = fig.add_subplot(111) #3\. set all the parameters for the plot inside that ax ax.set(xlim=[0.5, 4.5], ylim=[-2, 8], title='An Example Axes', ylabel='Y-Axis', xlabel='X-Axis') #4\. do the plotting ax.plot(x,y) plt.show()
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