Matplotlib : "알 수없는 투영 '3d'"오류

Matplotlib : "알 수없는 투영 '3d'"오류

---

방금 matplotlib를 설치하고 예제 스크립트 중 하나를 실행하려고합니다. 그러나 아래에 설명 된 오류가 발생합니다. 내가 뭘 잘못하고 있죠?

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()

오류는

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'

---

첫째로, 나는 생각 mplot3D에 약간 다르게 작동 matplotlib버전 0.99은 현재 버전에서보다 matplotlib.

어떤 버전을 사용하고 있습니까? (달려보십시오 :python -c 'import matplotlib; print matplotlib."__version__")

버전을 실행 중이라고 생각합니다.이 0.99경우 약간 다른 구문을 사용하거나 최신 버전으로 업데이트해야합니다 matplotlib.

version을 실행중인 경우 keyword 인수 0.99를 사용하는 대신이를 수행하십시오 projection.

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()

이것은 matplotlib 1.0.x뿐만 아니라 에서 작동해야합니다 0.99.

---

Just to add to Joe Kington's answer (not enough reputation for a comment) there is a good example of mixing 2d and 3d plots in the documentation at http://matplotlib.org/examples/mplot3d/mixed_subplots_demo.html which shows projection='3d' working in combination with the Axes3D import.

from mpl_toolkits.mplot3d import Axes3D
...
ax = fig.add_subplot(2, 1, 1)
...
ax = fig.add_subplot(2, 1, 2, projection='3d')

In fact as long as the Axes3D import is present the line

from mpl_toolkits.mplot3d import Axes3D
...
ax = fig.gca(projection='3d')

as used by the OP also works. (checked with matplotlib version 1.3.1)

---

I encounter the same problem, and @Joe Kington and @bvanlew's answer solve my problem.

but I should add more infomation when you use pycharm and enable auto import.

when you format the code, the code from mpl_toolkits.mplot3d import Axes3D will auto remove by pycharm.

so, my solution is

from mpl_toolkits.mplot3d import Axes3D
Axes3D = Axes3D  # pycharm auto import
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

and it works well!

---

Import mplot3d whole to use "projection = '3d'".

Insert the command below in top of your script. It should run fine.

from mpl_toolkits import mplot3d

---

Try this:

import matplotlib.pyplot as plt
import seaborn as sns
from mpl_toolkits.mplot3d import axes3d

fig=plt.figure(figsize=(16,12.5))
ax=fig.add_subplot(2,2,1,projection="3d")

a=ax.scatter(Dataframe['bedrooms'],Dataframe['bathrooms'],Dataframe['floors'])
plt.plot(a)

참고URL : https://stackoverflow.com/questions/3810865/matplotlib-unknown-projection-3d-error