ValueError:无效的RGBA参数:导致此错误的原因是什么? [英] ValueError: Invalid RGBA argument: What is causing this error?

问题描述

我正在尝试使用以下想法创建3D彩色条形图:

现在我尝试使用代码逐字为条形着色:

I am trying to create a 3D colored bar chart using ideas from: this stackoverflow post.

First I create a 3D bar chart with the following code:

import numpy as np
import matplotlib.colors as colors
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

samples = np.random.randint(91,size=(5000,2))

F = np.zeros([91,91])
for s in samples:
    F[s[0],s[1]] += 1

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x_data, y_data = np.meshgrid( np.arange(F.shape[1]),
                              np.arange(F.shape[0]) )
x_data = x_data.flatten()
y_data = y_data.flatten()
z_data = F.flatten()

ax.bar3d(x_data,y_data,np.zeros(len(z_data)),1,1,z_data )
plt.show()

The following is the output:

Now I try to color the bars using code verbatim from: this stackoverflow post. Here is the code:

import numpy as np
import matplotlib.colors as colors
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

samples = np.random.randint(91,size=(5000,2))

F = np.zeros([91,91])
for s in samples:
    F[s[0],s[1]] += 1

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x_data, y_data = np.meshgrid( np.arange(F.shape[1]),
                              np.arange(F.shape[0]) )
x_data = x_data.flatten()
y_data = y_data.flatten()
z_data = F.flatten()

dz = F
offset = dz + np.abs(dz.min())
fracs = offset.astype(float)/offset.max()
norm = colors.Normalize(fracs.min(), fracs.max())
colors = cm.jet(norm(fracs))

# colors = np.random.rand(91,91,4)

ax.bar3d(x_data,y_data,np.zeros(len(z_data)),1,1,z_data,color=colors )
plt.show()

However I get: ValueError: Invalid RGBA argument:

Now I am unable to debug the Invalid RGBA argument because I don't understand what is causing the error. I even tried to use random colors instead with colors = np.random.rand(91,91,4) and still the error persists.

I have checked stackoverflow posts regarding Invalid RGBA argument (for example this,this,this and this) and none of that seems to answer my problem.

I want to know what could be causing this error. I am using the standard Anaconda distribution for python on Ubuntu Mate 16.

Could it be that due to recent updates in python, the solution as in the original stackoverflow post becomes obsolete?

解决方案

The error message is misleading. You're getting a ValueError because the shape of colors is wrong, not because an RGBA value is invalid.

When coloring each bar a single color, color should be an array of length N, where N is the number of bars. Since there are 8281 bars,

In [121]: x_data.shape
Out[121]: (8281,)

colors should have shape (8281, 4). But instead, the posted code generates an array of shape (91, 91, 4):

In [123]: colors.shape
Out[123]: (91, 91, 4)

So to fix the problem, use color=colors.reshape(-1,4).

---

import numpy as np
import matplotlib.colors as colors
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

samples = np.random.randint(91,size=(5000,2))

F = np.zeros([91,91])
for s in samples:
    F[s[0],s[1]] += 1

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x_data, y_data = np.meshgrid( np.arange(F.shape[1]),
                              np.arange(F.shape[0]) )
x_data = x_data.flatten()
y_data = y_data.flatten()
z_data = F.flatten()

dz = F
offset = dz + np.abs(dz.min())
fracs = offset.astype(float)/offset.max()
norm = colors.Normalize(fracs.min(), fracs.max())
colors = cm.jet(norm(fracs))

ax.bar3d(x_data,y_data,np.zeros(len(z_data)),1,1,z_data,color=colors.reshape(-1,4) )
plt.show()

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