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Matplotlib.pyplot.contour() in Python

  • Last Updated : 21 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.contour() Function

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The contour() function in pyplot module of matplotlib library is used to plot contours.

Syntax: matplotlib.pyplot.contour(\*args, data=None, \*\*kwargs)



Parameters: This method accept the following parameters that are described below:

  • X, Y: These parameter are the coordinates of the values in Z.
  • Z : This parameter is the height values over which the contour is drawn.
  • levels : This parameter is used to determine the numbers and positions of the contour lines / regions.

Returns: This returns the following:

  • c :This returns the QuadContourSet.

Below examples illustrate the matplotlib.pyplot.contour() function in matplotlib.pyplot:

Example #1:




# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib
   
delta = 0.15
x = np.arange(1.5, 2.5, delta)
y = np.arange(1.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z = (np.exp(X - Y))
  
  
CS1 = plt.contour(X, Y, Z)
   
fmt = {}
strs = ['1', '2', '3', '4', '5', '6', '7']
for l, s in zip(CS1.levels, strs):
    fmt[l] = s
plt.clabel(CS1, CS1.levels, inline = True,
           fmt = fmt, fontsize = 10)
  
plt.title('matplotlib.pyplot.contour() Example')
plt.show()

Output:

Example #2:




# Implementation of matplotlib function
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
   
delta = 0.25
x = np.arange(-3.0, 5.0, delta)
y = np.arange(-1.3, 2.5, delta)
X, Y = np.meshgrid(x, y)
Z = (np.exp(-X**2 - Y**2) - np.exp(-(X - 1)**2 - (Y - 1)**2))
   
fig, ax = plt.subplots()
im = ax.imshow(Z, interpolation ='bilinear',
               origin ='lower',
               cmap ="bone"
               extent =(-3, 3, -2, 2))
  
levels = np.arange(-1.2, 1.6, 0.2)
CS = ax.contour(Z, levels, 
                origin ='lower',
                cmap ='Greens',
                linewidths = 2,
                extent =(-3, 3, -2, 2))
  
zc = CS.collections[6]
plt.setp(zc, linewidth = 2)
   
ax.clabel(CS, levels,
          inline = 1
          fmt ='% 1.1f',
          fontsize = 14)
  
plt.title('matplotlib.pyplot.contour() Example')
plt.show()

Output:




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