matplot python

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()

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

# importing matplotlib module from matplotlib import pyplot as plt # x-axis values x = [5, 2, 9, 4, 7] # Y-axis values y = [10, 5, 8, 4, 2] # Function to plot scatter plt.scatter(x, y) # function to show the plot plt.show()

matplotlib python

import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
import numpy as np

fig, ax = plt.subplots(subplot_kw={"projection": "3d"})

# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)

# Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
                       linewidth=0, antialiased=False)

# Customize the z axis.
ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
# A StrMethodFormatter is used automatically
ax.zaxis.set_major_formatter('{x:.02f}')

# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)

plt.show()

Posted by: Guest on May-11-2021

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