Convert 3D figures from matplotlib to plotly.py

[umesh-timalsina]

In order convert a matplotlib figure to plotly.py figure, it looks like support for 3D matplotlib objects is not yet implemented. An example from matplotlib gallery leads to a flat 2d Plot with no lines scatter points.

# This import registers the 3D projection, but is otherwise unused.
from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import

import matplotlib.pyplot as plt
import numpy as np 
from plotly.tools import mpl_to_plotly

# Fixing random state for reproducibility
np.random.seed(19680801)


def randrange(n, vmin, vmax):
    '''
    Helper function to make an array of random numbers having shape (n, )
    with each number distributed Uniform(vmin, vmax).
    '''
    return (vmax - vmin)*np.random.rand(n) + vmin

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

n = 100

# For each set of style and range settings, plot n random points in the box
# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
    xs = randrange(n, 23, 32)
    ys = randrange(n, 0, 100)
    zs = randrange(n, zlow, zhigh)
    ax.scatter(xs, ys, zs, marker=m)

ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')

fig = plt.gcf()
pf = mpl_to_plotly(fig)
pf.show()

Is there a way to convert 3d graphs from matplotlib to plotly?

[nicolaskruchten]

I don’t believe there’s a way to do this, no. I would recommend building the figure using Plotly objects at the outset, as the mpl_to_plotly function is no longer being maintained.

[umesh-timalsina]

Okay. Thanks.