any example for 3d plot

[gooyle]

hi, is there any examples for 3d plot, we try module mpl_toolkits.mplot3d, however, it doesnot works well with scienceplot

[gooyle]

Another codes has been tried, though its still not good enough.

import matplotlib.pyplot as plt with plt.style.context(['science', "ieee", 'std-colors']):  fig, axes = plt.subplots(figsize = (20,4), subplot_kw=dict(projection= '3d'))  axes.xaxis.pane.fill = False  axes.yaxis.pane.fill = False  axes.zaxis.pane.fill = False  axes.grid(False)  axes.scatter(X_new[mask,0], X_new[mask,1], X_new[mask,2], c = 'b', s = 5, depthshade = False, linewidth = 0.2, edgecolors='k')`

[echedey-ls]

From the matplotlib example library, I've used this one.

I've only added two lines, the import scienceplots and plt.style.use(...), and styles seem to apply without problems. Next time, pls provide a reproducible example.

import matplotlib.pyplot as plt
import numpy as np

import scienceplots
plt.style.use(['science', "ieee", 'std-colors'])

# 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(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')

plt.show()

[gooyle]

thx for your reply, we will try this example

From the matplotlib example library, I've used this one.

I've only added two lines, the import scienceplots and plt.style.use(...), and styles seem to apply without problems. Next time, pls provide a reproducible example.

import matplotlib.pyplot as plt
import numpy as np

import scienceplots
plt.style.use(['science', "ieee", 'std-colors'])

# 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(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')

plt.show()