CODEWITHSUNDEEP
pythonmatplotlib
Riccardo moroletti
Riccardo moroletti

Reputation: 291

how to make a Matplotlib 3D plot bigger

I have this piece of code:

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt

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

ax.scatter(data.FAC1_1, data.FAC2_1, data.FAC3_1, c='r', marker='o')

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

plt.show()

everything works perfectly fine. The only issue is that the scatter plot that comes out is really tiny. Is there a ay to make it bigger? I looked at the documentation but I wasn't able to find it.

Upvotes: 6

Views: 19723

Answers (2)

Андрій Сидоренко
Андрій Сидоренко

Reputation: 11

You can enlarge the 3D Scatter inside the figure

fig.subplots_adjust(top=1.1, bottom=-.1)

Upvotes: 1

Tim B
Tim B

Reputation: 3133

You can make the figure itself bigger using figsize:

fig = plt.figure(figsize=(12,10))

To make the markers from the scatter plot bigger use s:

ax.scatter(data.FAC1_1, data.FAC2_1, data.FAC3_1, s=500, c='r', marker='o')

Upvotes: 11

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