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numpy meshgrid function

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Talented Tamarin answered on March 1, 2022 Popularity 9/10 Helpfulness 2/10

answer numpy meshgrid function

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related numpy meshgrid function

numpy meshgrid function

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x = np.linspace(-5, 5, 101)
>>> y = np.linspace(-5, 5, 101)
>>> # full coorindate arrays
>>> xx, yy = np.meshgrid(x, y)
>>> zz = np.sqrt(xx**2 + yy**2)
>>> xx.shape, yy.shape, zz.shape
((101, 101), (101, 101), (101, 101))
>>> # sparse coordinate arrays
>>> xs, ys = np.meshgrid(x, y, sparse=True)
>>> zs = np.sqrt(xs**2 + ys**2)
>>> xs.shape, ys.shape, zs.shape
((1, 101), (101, 1), (101, 101))
>>> np.array_equal(zz, zs)
True

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Source: numpy.org

Tags: function numpy whatever

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Contributed on Mar 01 2022

Talented Tamarin

0 Answers Avg Quality 2/10

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# Sample code for generation of first example
import numpy as np
# from matplotlib import pyplot as plt
# pyplot imported for plotting graphs
 
x = np.linspace(-4, 4, 9)
 
# numpy.linspace creates an array of
# 9 linearly placed elements between
# -4 and 4, both inclusive
y = np.linspace(-5, 5, 11)
 
# The meshgrid function returns
# two 2-dimensional arrays
x_1, y_1 = np.meshgrid(x, y)
 
print("x_1 = ")
print(x_1)
print("y_1 = ")
print(y_1)

Popularity 9/10 Helpfulness 2/10 Language python

Source: www.geeksforgeeks.org

Tags: numpy nump

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Contributed on Nov 06 2022

Chakka Sai kiran

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numpy meshgrid function

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import matplotlib.pyplot as plt
>>> h = plt.contourf(x, y, zs)
>>> plt.axis('scaled')
>>> plt.colorbar()
>>> plt.show()

Popularity 9/10 Helpfulness 2/10 Language python

Source: numpy.org

Tags: function functio

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Contributed on Mar 01 2022

Talented Tamarin

0 Answers Avg Quality 2/10

numpy meshgrid function

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