Add a picture/thumbnail in a 3d projection matplotlib plot
In matplotlib, does anyone know how to add a picture or thumbnail to a 3d-projection plot outside of the margin of the figure? The thumbnail is a png/jpeg image from a file.
I'm thinking of something analogous to this example, but with a picture:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
mpl.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()
plt.show()
python matplotlib plot 3d legend
add a comment |
In matplotlib, does anyone know how to add a picture or thumbnail to a 3d-projection plot outside of the margin of the figure? The thumbnail is a png/jpeg image from a file.
I'm thinking of something analogous to this example, but with a picture:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
mpl.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()
plt.show()
python matplotlib plot 3d legend
1
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
Thank you, this did the trick!
– grover
Jan 20 at 11:47
add a comment |
In matplotlib, does anyone know how to add a picture or thumbnail to a 3d-projection plot outside of the margin of the figure? The thumbnail is a png/jpeg image from a file.
I'm thinking of something analogous to this example, but with a picture:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
mpl.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()
plt.show()
python matplotlib plot 3d legend
In matplotlib, does anyone know how to add a picture or thumbnail to a 3d-projection plot outside of the margin of the figure? The thumbnail is a png/jpeg image from a file.
I'm thinking of something analogous to this example, but with a picture:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
mpl.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()
plt.show()
python matplotlib plot 3d legend
python matplotlib plot 3d legend
asked Jan 19 at 3:18
grovergrover
3271211
3271211
1
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
Thank you, this did the trick!
– grover
Jan 20 at 11:47
add a comment |
1
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
Thank you, this did the trick!
– grover
Jan 20 at 11:47
1
1
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
Thank you, this did the trick!
– grover
Jan 20 at 11:47
Thank you, this did the trick!
– grover
Jan 20 at 11:47
add a comment |
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1
See this example. Alternatively, you can add a new axes to the corner of the figure to plot your image to.
– ImportanceOfBeingErnest
Jan 19 at 11:20
Thank you, this did the trick!
– grover
Jan 20 at 11:47