[Bug]: The example Animated 3D random walk

[YiRu1985]

Bug summary

in the example of animated 3d random walk , increase fontsize of X ,Y ,Z ticks and label ,at the sametime enlarge figsize , we can see that ticks and labels are on top of each other , how to solve this problem ? I use the function plt.tight_layout , but result is invalid . Finally, I am sorry that my English is not so good, The expression may not be clear enough, sincerely hope to get your help.

Code for reproduction

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

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


def random_walk(num_steps, max_step=0.05):
    """Return a 3D random walk as (num_steps, 3) array."""
    start_pos = np.random.random(3)
    steps = np.random.uniform(-max_step, max_step, size=(num_steps, 3))
    walk = start_pos + np.cumsum(steps, axis=0)
    return walk


def update_lines(num, walks, lines):
    for line, walk in zip(lines, walks):
        # NOTE: there is no .set_data() for 3 dim data...
        line.set_data(walk[:num, :2].T)
        line.set_3d_properties(walk[:num, 2])
    return lines


# Data: 40 random walks as (num_steps, 3) arrays
num_steps = 30
walks = [random_walk(num_steps) for index in range(40)]

# Attaching 3D axis to the figure
fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(projection="3d")

# Create lines initially without data
lines = [ax.plot([], [], [])[0] for _ in walks]

# Setting the axes properties
ax.set(xlim3d=(0, 1))
ax.set(ylim3d=(0, 1))
ax.set(zlim3d=(0, 1))


ax.tick_params(labelsize=25)
ax.set_xlabel('strikes  number ',fontsize=25)
ax.set_ylabel('maturity  times',fontsize=25)
ax.set_zlabel('the value of delta',fontsize=25)

# Creating the Animation object
ani = animation.FuncAnimation(
    fig, update_lines, num_steps, fargs=(walks, lines), interval=100)


ani.save('random_walk.gif',dpi=100)
plt.show()

Actual outcome

Expected outcome

relieve the problem of ticks and label are on top of each other .

Additional information

without

Operating system

Windows 10

Matplotlib Version

3.3.4

Matplotlib Backend

module://ipykernel.pylab.backend_inline

Python version

3.8.8

Jupyter version

6.3.0

Installation

pip

[tacaswell]

You can set the labelpad:

ax.xaxis.labelpad = 30   # adjust to look good
ax.yaxis.labelpad = 20
ax.zaxis.labelpad = 10

[timhoffm]

We don't have any layout mechanism for 3D that could auto-handle this. I also don't see that this is a priority or that any core devs are going to work on this in any forseeable future. I therefore suggest to close as "won't or can't fix". Of course, if somebody else want's to contribute in this direction, we will be happy to discuss possible ways forward.

[WeatherGod]

I think you want to set a larger "pad" value through `tick_params()`: https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.tick_params.html#matplotlib.axes.Axes.tick_params. Note that for Axes3D objects, the "both" value for `which` means all 3 x, y, and z axis.

…

On Wed, Sep 7, 2022 at 9:38 AM YiRu1985 ***@***.***> wrote: Bug summary in the example of animated 3d random walk , increase fontsize of X ,Y ,Z ticks and label ,at the sametime enlarge figsize , we can see that ticks and labels are on top of each other , how to solve this problem ? I use the function plt.tight_layout , but result is invalid . Finally, I am sorry that my English is not so good, The expression may not be clear enough, sincerely hope to get your help. Code for reproduction import numpy as npimport matplotlib.pyplot as pltimport matplotlib.animation as animation # Fixing random state for reproducibilitynp.random.seed(19680801) def random_walk(num_steps, max_step=0.05): """Return a 3D random walk as (num_steps, 3) array.""" start_pos = np.random.random(3) steps = np.random.uniform(-max_step, max_step, size=(num_steps, 3)) walk = start_pos + np.cumsum(steps, axis=0) return walk def update_lines(num, walks, lines): for line, walk in zip(lines, walks): # NOTE: there is no .set_data() for 3 dim data... line.set_data(walk[:num, :2].T) line.set_3d_properties(walk[:num, 2]) return lines # Data: 40 random walks as (num_steps, 3) arraysnum_steps = 30walks = [random_walk(num_steps) for index in range(40)] # Attaching 3D axis to the figurefig = plt.figure(figsize=(15,15))ax = fig.add_subplot(projection="3d") # Create lines initially without datalines = [ax.plot([], [], [])[0] for _ in walks] # Setting the axes propertiesax.set(xlim3d=(0, 1))ax.set(ylim3d=(0, 1))ax.set(zlim3d=(0, 1)) ax.tick_params(labelsize=25)ax.set_xlabel('strikes number ',fontsize=25)ax.set_ylabel('maturity times',fontsize=25)ax.set_zlabel('the value of delta',fontsize=25) # Creating the Animation objectani = animation.FuncAnimation( fig, update_lines, num_steps, fargs=(walks, lines), interval=100) ani.save('random_walk.gif',dpi=100)plt.show() Actual outcome [image: image] <https://user-images.githubusercontent.com/113033339/188888173-0925ddfc-5e69-4191-97f3-b838b94a4eb1.png> Expected outcome relieve the problem of ticks and label are on top of each other . Additional information without Operating system Windows 10 Matplotlib Version 3.3.4 Matplotlib Backend module://ipykernel.pylab.backend_inline Python version 3.8.8 Jupyter version 6.3.0 Installation pip — Reply to this email directly, view it on GitHub <#23818>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AACHF6AG4TTQADWJ4ERSXR3V5CLDPANCNFSM6AAAAAAQGY6JLE> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>