Matplotlib:“未知投影'3d'";错误 [英] Matplotlib: "Unknown projection '3d'" error
问题描述
我刚安装了matplotlib,并试图运行其中的示例脚本之一.但是我遇到了下面详细描述的错误.我究竟做错了什么?
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)
plt.show()
错误是
Traceback (most recent call last):
File "<string>", line 245, in run_nodebug
File "<module1>", line 5, in <module>
File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 945, in gca
return self.add_subplot(111, **kwargs)
File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 677, in add_subplot
projection_class = get_projection_class(projection)
File "C:\Python26\lib\site-packages\matplotlib\projections\__init__.py", line 61, in get_projection_class
raise ValueError("Unknown projection '%s'" % projection)
ValueError: Unknown projection '3d'
首先,我认为mplot3D
在matplotlib
版本0.99
中的工作方式与在当前版本的matplotlib
中有所不同. /p>
您使用的是哪个版本? (尝试运行:python -c 'import matplotlib; print matplotlib."__version__")
我猜您正在运行版本0.99
,在这种情况下,您将需要使用稍微不同的语法或更新为matplotlib
的最新版本.
如果您正在运行版本0.99
,请尝试执行此操作,而不要使用projection
关键字参数:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D #<-- Note the capitalization!
fig = plt.figure()
ax = Axes3D(fig) #<-- Note the difference from your original code...
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)
plt.show()
这也应该在matplotlib
1.0.x
中起作用,而不仅仅是0.99
.
I just installed matplotlib and am trying to run one of there example scripts. However I run into the error detailed below. What am I doing wrong?
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)
plt.show()
The error is
Traceback (most recent call last):
File "<string>", line 245, in run_nodebug
File "<module1>", line 5, in <module>
File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 945, in gca
return self.add_subplot(111, **kwargs)
File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 677, in add_subplot
projection_class = get_projection_class(projection)
File "C:\Python26\lib\site-packages\matplotlib\projections\__init__.py", line 61, in get_projection_class
raise ValueError("Unknown projection '%s'" % projection)
ValueError: Unknown projection '3d'
First off, I think mplot3D
worked a bit differently in matplotlib
version 0.99
than it does in the current version of matplotlib
.
Which version are you using? (Try running: python -c 'import matplotlib; print matplotlib."__version__")
I'm guessing you're running version 0.99
, in which case you'll need to either use a slightly different syntax or update to a more recent version of matplotlib
.
If you're running version 0.99
, try doing this instead of using using the projection
keyword argument:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D #<-- Note the capitalization!
fig = plt.figure()
ax = Axes3D(fig) #<-- Note the difference from your original code...
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)
plt.show()
This should work in matplotlib
1.0.x
, as well, not just 0.99
.
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