How to plot a 3D histogram with matplotlib/mplot3d?

I have three arrays and I am trying to make a 3D histogram.

x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50, 60]

z = [105, 25, 26, 74, 39, 85, 74, 153, 52, 98]

Here's my attempt so far:

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

fig = plt.figure()

ax = plt.axes(projection='3d')



binsOne = sorted(set(x))

binsTwo = sorted(set(y))

hist, xedges, yedges = np.histogram2d(x, y, bins=[binsOne, binsTwo])

xpos, ypos = np.meshgrid(xedges[:-1] + 0.25 , yedges[:-1] + 0.25)

xpos = xpos.flatten('F')

ypos = ypos.flatten('F')

zpos = np.zeros_like(xpos)



dx = dx.flatten()

dy = dy.flatten()

dz = hist.flatten()



ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')

How do I incorporate the z array into my 3D histogram?

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

I advice you this post: stackoverflow.com/questions/53611716/… Matplotlib have some issues with the 3D plotting, so pay attention!

– Alessandro Peca
Jan 3 at 8:25

add a comment |

I have three arrays and I am trying to make a 3D histogram.

x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50, 60]

z = [105, 25, 26, 74, 39, 85, 74, 153, 52, 98]

Here's my attempt so far:

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

fig = plt.figure()

ax = plt.axes(projection='3d')



binsOne = sorted(set(x))

binsTwo = sorted(set(y))

hist, xedges, yedges = np.histogram2d(x, y, bins=[binsOne, binsTwo])

xpos, ypos = np.meshgrid(xedges[:-1] + 0.25 , yedges[:-1] + 0.25)

xpos = xpos.flatten('F')

ypos = ypos.flatten('F')

zpos = np.zeros_like(xpos)



dx = dx.flatten()

dy = dy.flatten()

dz = hist.flatten()



ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')

How do I incorporate the z array into my 3D histogram?

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

I advice you this post: stackoverflow.com/questions/53611716/… Matplotlib have some issues with the 3D plotting, so pay attention!

– Alessandro Peca
Jan 3 at 8:25

add a comment |

I have three arrays and I am trying to make a 3D histogram.

x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50, 60]

z = [105, 25, 26, 74, 39, 85, 74, 153, 52, 98]

Here's my attempt so far:

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

fig = plt.figure()

ax = plt.axes(projection='3d')



binsOne = sorted(set(x))

binsTwo = sorted(set(y))

hist, xedges, yedges = np.histogram2d(x, y, bins=[binsOne, binsTwo])

xpos, ypos = np.meshgrid(xedges[:-1] + 0.25 , yedges[:-1] + 0.25)

xpos = xpos.flatten('F')

ypos = ypos.flatten('F')

zpos = np.zeros_like(xpos)



dx = dx.flatten()

dy = dy.flatten()

dz = hist.flatten()



ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')

How do I incorporate the z array into my 3D histogram?

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

I have three arrays and I am trying to make a 3D histogram.

x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50, 60]

z = [105, 25, 26, 74, 39, 85, 74, 153, 52, 98]

Here's my attempt so far:

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

fig = plt.figure()

ax = plt.axes(projection='3d')



binsOne = sorted(set(x))

binsTwo = sorted(set(y))

hist, xedges, yedges = np.histogram2d(x, y, bins=[binsOne, binsTwo])

xpos, ypos = np.meshgrid(xedges[:-1] + 0.25 , yedges[:-1] + 0.25)

xpos = xpos.flatten('F')

ypos = ypos.flatten('F')

zpos = np.zeros_like(xpos)



dx = dx.flatten()

dy = dy.flatten()

dz = hist.flatten()



ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')

How do I incorporate the z array into my 3D histogram?

python matplotlib mplot3d

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

edited Jan 3 at 0:07

asked Jan 2 at 23:45

Matt-pow

155416

asked Jan 2 at 23:45

Matt-pow

155416

asked Jan 2 at 23:45

Matt-pow

155416

I advice you this post: stackoverflow.com/questions/53611716/… Matplotlib have some issues with the 3D plotting, so pay attention!

– Alessandro Peca
Jan 3 at 8:25

add a comment |

I advice you this post: stackoverflow.com/questions/53611716/… Matplotlib have some issues with the 3D plotting, so pay attention!

– Alessandro Peca
Jan 3 at 8:25

I advice you this post: stackoverflow.com/questions/53611716/… Matplotlib have some issues with the 3D plotting, so pay attention!

– Alessandro Peca
Jan 3 at 8:25

add a comment |

1 Answer
1

active

oldest

votes

The z array must have the same shape not of x and y but of xpos and ypos (which are of themselves the same shape). You may find this example more useful than the one you appear to be drawing from. The following code is to demonstrate the example in the first link applied to your question,

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np



fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')



_x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

_y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50]

_xx, _yy = np.meshgrid(_x, _y)

x, y = _xx.ravel(), _yy.ravel()

_z = np.array([105, 25, 26, 74, 39, 85, 74, 153, 52, 98])



# There may be an easier way to do this, but I am not aware of it

z = np.zeros(len(x))

for i in range(1, len(x)):

    z[i] = _z[(i*len(_z)) / len(x)]



bottom = np.zeros_like(z)

width = depth = 1



ax.bar3d(x, y, bottom, width, depth, z, shade=True)

plt.show()

enter image description here

answered Jan 3 at 0:31

William Miller

1,478317

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

1

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

add a comment |

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1 Answer
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1 Answer
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from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np



fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')



_x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

_y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50]

_xx, _yy = np.meshgrid(_x, _y)

x, y = _xx.ravel(), _yy.ravel()

_z = np.array([105, 25, 26, 74, 39, 85, 74, 153, 52, 98])



# There may be an easier way to do this, but I am not aware of it

z = np.zeros(len(x))

for i in range(1, len(x)):

    z[i] = _z[(i*len(_z)) / len(x)]



bottom = np.zeros_like(z)

width = depth = 1



ax.bar3d(x, y, bottom, width, depth, z, shade=True)

plt.show()

enter image description here

answered Jan 3 at 0:31

William Miller

1,478317

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

1

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

add a comment |

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np



fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')



_x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

_y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50]

_xx, _yy = np.meshgrid(_x, _y)

x, y = _xx.ravel(), _yy.ravel()

_z = np.array([105, 25, 26, 74, 39, 85, 74, 153, 52, 98])



# There may be an easier way to do this, but I am not aware of it

z = np.zeros(len(x))

for i in range(1, len(x)):

    z[i] = _z[(i*len(_z)) / len(x)]



bottom = np.zeros_like(z)

width = depth = 1



ax.bar3d(x, y, bottom, width, depth, z, shade=True)

plt.show()

enter image description here

answered Jan 3 at 0:31

William Miller

1,478317

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

1

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

add a comment |

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np



fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')



_x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

_y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50]

_xx, _yy = np.meshgrid(_x, _y)

x, y = _xx.ravel(), _yy.ravel()

_z = np.array([105, 25, 26, 74, 39, 85, 74, 153, 52, 98])



# There may be an easier way to do this, but I am not aware of it

z = np.zeros(len(x))

for i in range(1, len(x)):

    z[i] = _z[(i*len(_z)) / len(x)]



bottom = np.zeros_like(z)

width = depth = 1



ax.bar3d(x, y, bottom, width, depth, z, shade=True)

plt.show()

enter image description here

answered Jan 3 at 0:31

William Miller

1,478317

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np



fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')



_x = [1, 2, 3, 2, 5, 2, 6, 8, 6, 7]

_y = [10, 10, 20, 50, 20, 20, 30, 10, 40, 50]

_xx, _yy = np.meshgrid(_x, _y)

x, y = _xx.ravel(), _yy.ravel()

_z = np.array([105, 25, 26, 74, 39, 85, 74, 153, 52, 98])



# There may be an easier way to do this, but I am not aware of it

z = np.zeros(len(x))

for i in range(1, len(x)):

    z[i] = _z[(i*len(_z)) / len(x)]



bottom = np.zeros_like(z)

width = depth = 1



ax.bar3d(x, y, bottom, width, depth, z, shade=True)

plt.show()

enter image description here

answered Jan 3 at 0:31

William Miller

1,478317

answered Jan 3 at 0:31

William Miller

1,478317

answered Jan 3 at 0:31

William Miller

1,478317

answered Jan 3 at 0:31

William Miller

1,478317

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

1

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

add a comment |

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

1

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

Thanks for your answer, why is the z not following x and y in ax.bar3d? Also can you explain to me what does the for loop does for _z?

– Matt-pow
Jan 3 at 6:04

@Matt-pow I don't understand your question, the z values in the array are determining the height of the the bar, the x values determine the x position and the y values determine the y position. For x and y pairs that correspond to a common z value you see multiple bars. The values on the y and x axis are a little confusing since the bar 1 in x actually goes from 1 to 2 and 8 goes from 8 to 9.

– William Miller
Jan 3 at 6:25

@Matt-pow The for loop for _z converts _z, a shape (10L, ) array into z a shape (100L, ) array populated by 10 instances of each value

– William Miller
Jan 3 at 6:37

Thanks for the explaination

– Matt-pow
Jan 3 at 21:45

add a comment |

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