plot a pandas dataframe matplotlib
import pandas as pd
import matplotlib.pyplot as plt
df = pd.Dataframe(Data)
df.plot(kind='bar',x="dataframe_1",y="dataframe_2") # bar can be replaced by
# scatter or line or even left as default
plt.show()plot a pandas dataframe matplotlib
import pandas as pd
import matplotlib.pyplot as plt
df = pd.Dataframe(Data)
df.plot(kind='bar',x="dataframe_1",y="dataframe_2") # bar can be replaced by
# scatter or line or even left as default
plt.show()matplotlib plot
import matplotlib.pyplot as plt
fig = plt.figure(1) #identifies the figure
plt.title("Y vs X", fontsize='16') #title
plt.plot([1, 2, 3, 4], [6,2,8,4]) #plot the points
plt.xlabel("X",fontsize='13') #adds a label in the x axis
plt.ylabel("Y",fontsize='13') #adds a label in the y axis
plt.legend(('YvsX'),loc='best') #creates a legend to identify the plot
plt.savefig('Y_X.png') #saves the figure in the present directory
plt.grid() #shows a grid under the plot
plt.show()Copyright © 2021 Codeinu
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