import matplotlib.pyplot as plt
from matplotlib import pyplot as plt import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from matplotlib import pyplot as plt import matplotlib.pyplot as plt
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()
python plot
import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) plt.show()
python matplotlib
from matplotlib import pyplot as plt # Median Developer Salaries by Age dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35] dev_y = [38496, 42000, 46752, 49320, 53200, 56000, 62316, 64928, 67317, 68748, 73752] plt.plot(dev_x, dev_y) plt.xlabel('Ages') plt.ylabel('Median Salary (USD)') plt.title('Median Salary (USD) by Age') plt.show() #Basic line graph using python module matplotlib
plot using matplotlib
import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4]) plt.ylabel('some numbers') plt.show()
import matplotlib pyplot as plt
from matplotlib import pyplot as plt df.plot()
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