在ipython中运行粘贴代码的错误(Errors running pasted code in ipython)

 我想从这里使用基本的sklearn iris数据集代码： 
 
 http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html 
 
 注意：为避免在第二行上出现编码问题，我将其从Ga {accent-e} l Varoquaux更改为Gael 
 
print(__doc__)
# Code source: Gael Varoquaux  
# Modified for documentation by Jaques Grobler
# License: BSD 3 clause

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.decomposition import PCA

# import some data to play with
iris = datasets.load_iris()
X = iris.data[:, :2]  # we only take the first two features.
Y = iris.target

x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5
y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5

plt.figure(2, figsize=(8, 6))
plt.clf()

# Plot the training points
plt.scatter(X[:, 0], X[:, 1], c=Y, cmap=plt.cm.Paired)
plt.xlabel('Sepal length')
plt.ylabel('Sepal width')

plt.xlim(x_min, x_max)
plt.ylim(y_min, y_max)
plt.xticks(())
plt.yticks(())

# To getter a better understanding of interaction of the dimensions
# plot the first three PCA dimensions
fig = plt.figure(1, figsize=(8, 6))
ax = Axes3D(fig, elev=-150, azim=110)
X_reduced = PCA(n_components=3).fit_transform(iris.data)
ax.scatter(X_reduced[:, 0], X_reduced[:, 1], X_reduced[:, 2], c=Y,
           cmap=plt.cm.Paired)
ax.set_title("First three PCA directions")
ax.set_xlabel("1st eigenvector")
ax.w_xaxis.set_ticklabels([])
ax.set_ylabel("2nd eigenvector")
ax.w_yaxis.set_ticklabels([])
ax.set_zlabel("3rd eigenvector")
ax.w_zaxis.set_ticklabels([])

plt.show()
 
 如果我在中间选择一个任意点将代码分成两部分并分别剪切并粘贴 - 那么代码工作正常。 
 
  
 
 但是，当粘贴整个片段时，后面的行会出现乱码： 
 
In [267]: ax.set_title("First three PCA directions")
Out[267]: <matplotlib.text.Text at 0x113726250>

tor")68]: ax.seax.seax.seax.seax.seax.seax.se.wax.seax.seax.seax.seax.seax.seax.se.wal("2nd eigenvec
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-268-81e33d4e9263> in <module>()
----> 1 ax.seax.seax.seax.seax.seax.seax.se.wax.seax.seax.seax.seax.seax.seax.se.wal("2nd eigenvector")

AttributeError: 'Axes3D' object has no attribute 'seax'
 
 那么在这里有一个技巧能够将更多的文本粘贴到ipython吗？ 请注意代码中没有选项卡 。 这是用于python 2.7.3 ipython 4.2.1另外：我在OS / X上使用iterm2 ：不确定这是否会起作用。 
 
 根据（良好）建议进行更新 ，这也是通过%cpaste尝试的。 结果相同：将整个数量作为单个单位粘贴时，文本会被损坏。 

I am trying to use the basic sklearn iris datasets code from here:
 
http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html
 
NOTE: to avoid encoding issues on the 2nd line I changed to Gael from Ga{accent-e}l Varoquaux
 
print(__doc__)
# Code source: Gael Varoquaux  
# Modified for documentation by Jaques Grobler
# License: BSD 3 clause

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.decomposition import PCA

# import some data to play with
iris = datasets.load_iris()
X = iris.data[:, :2]  # we only take the first two features.
Y = iris.target

x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5
y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5

plt.figure(2, figsize=(8, 6))
plt.clf()

# Plot the training points
plt.scatter(X[:, 0], X[:, 1], c=Y, cmap=plt.cm.Paired)
plt.xlabel('Sepal length')
plt.ylabel('Sepal width')

plt.xlim(x_min, x_max)
plt.ylim(y_min, y_max)
plt.xticks(())
plt.yticks(())

# To getter a better understanding of interaction of the dimensions
# plot the first three PCA dimensions
fig = plt.figure(1, figsize=(8, 6))
ax = Axes3D(fig, elev=-150, azim=110)
X_reduced = PCA(n_components=3).fit_transform(iris.data)
ax.scatter(X_reduced[:, 0], X_reduced[:, 1], X_reduced[:, 2], c=Y,
           cmap=plt.cm.Paired)
ax.set_title("First three PCA directions")
ax.set_xlabel("1st eigenvector")
ax.w_xaxis.set_ticklabels([])
ax.set_ylabel("2nd eigenvector")
ax.w_yaxis.set_ticklabels([])
ax.set_zlabel("3rd eigenvector")
ax.w_zaxis.set_ticklabels([])

plt.show()
 
If I pick an arbitrary point in the middle to split the code into two pieces and cut and paste them separately - then the code works fine.
 
 
But instead when pasting the entire snippet at one time the latter lines get garbled: 
 
In [267]: ax.set_title("First three PCA directions")
Out[267]: <matplotlib.text.Text at 0x113726250>

tor")68]: ax.seax.seax.seax.seax.seax.seax.se.wax.seax.seax.seax.seax.seax.seax.se.wal("2nd eigenvec
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-268-81e33d4e9263> in <module>()
----> 1 ax.seax.seax.seax.seax.seax.seax.se.wax.seax.seax.seax.seax.seax.seax.se.wal("2nd eigenvector")

AttributeError: 'Axes3D' object has no attribute 'seax'
 
So is there a trick here to be able to paste larger amounts of text into ipython ? Note there are no tabs in the code. This is for ipython 4.2.1 with python 2.7.3 Also: i'm using iterm2 on OS/X: not sure whether that comes into play or not.
 
Update based on a (good) suggestion this was also attempted via %cpaste. The results are the same: text gets corrupted when pasting the entire amount as a single unit.

原文：https://stackoverflow.com/questions/42461707