I have a function (shown below) that would take a 3D numpy array and plot points in 3D. I recently updated my matplotlib with the latest Enthought Python Distribution and now it doesn’t work; I guess matplotlib changed the api a little bit.

The first problem arises because there is no matplotlib.axes3d anymore. I can’t find the equivalent in the newest version. Can someone help me figure this out?

Thanks,

Jeremy

## ···

#===================

import matplotlib.pyplot as pyplot

import matplotlib.axes3d as p3

def PlotPoints§:

“”"

“”"

fig = pyplot.figure()

ax = p3.Axes3D(fig)

ax.plot3D(P[:,0],P[:,1],P[:,2],’.’)

pyplot.show()

return ax

Jeremy Conlin wrote:

I have a function (shown below) that would take a 3D numpy array and plot

points in 3D. I recently updated my matplotlib with the latest Enthought

Python Distribution and now it doesn't work; I guess matplotlib changed the

api a little bit.

The first problem arises because there is no matplotlib.axes3d anymore. I

can't find the equivalent in the newest version. Can someone help me figure

this out?

The axes3d support has been completely removed in matplotlib 0.98.x

## ···

Thanks,

Jeremy

#===================

import matplotlib.pyplot as pyplot

import matplotlib.axes3d as p3

def PlotPoints(P):

"""

fig = pyplot.figure()

ax = p3.Axes3D(fig)

ax.plot3D(P[:,0],P[:,1],P[:,2],'.')

pyplot.show()

return ax

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