MacでmatplotlibをPython 2.7用に使用

Question

Mac OSXで誰かが似た問題を抱えているのではないかと思いますか？もしそうなら、あなたはどのように解決しますか？ありがとう。ここで

は、ドキュメント、コードとエラーメッセージ、

http://scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html

#!/usr/bin/python 
# -*- coding: utf-8 -*- 

""" 
========================================================= 
Logistic Regression 3-class Classifier 
========================================================= 

Show below is a logistic-regression classifiers decision boundaries on the 
`iris <http://en.wikipedia.org/wiki/Iris_flower_data_set>`_ dataset. The 
datapoints are colored according to their labels. 

""" 
print(__doc__) 


# Code source: Gaël Varoquaux 
# Modified for documentation by Jaques Grobler 
# License: BSD 3 clause 

import numpy as np 
import matplotlib.pyplot as plt 
from sklearn import linear_model, datasets 

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

h = .02 # step size in the mesh 

logreg = linear_model.LogisticRegression(C=1e5) 

# we create an instance of Neighbours Classifier and fit the data. 
logreg.fit(X, Y) 

# Plot the decision boundary. For that, we will assign a color to each 
# point in the mesh [x_min, m_max]x[y_min, y_max]. 
x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5 
y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5 
xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h)) 
Z = logreg.predict(np.c_[xx.ravel(), yy.ravel()]) 

# Put the result into a color plot 
Z = Z.reshape(xx.shape) 
plt.figure(1, figsize=(4, 3)) 
plt.pcolormesh(xx, yy, Z, cmap=plt.cm.Paired) 

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

plt.xlim(xx.min(), xx.max()) 
plt.ylim(yy.min(), yy.max()) 
plt.xticks(()) 
plt.yticks(()) 

plt.show() 

---

Traceback (most recent call last): 
    File "/Users/foo/personal/law/justech/featureExtraction/testLogisticRegression.py", line 22, in <module> 
    import matplotlib.pyplot as plt 
    File "/Users/foo/miniconda2/lib/python2.7/site-packages/matplotlib/pyplot.py", line 114, in <module> 
    _backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup() 
    File "/Users/foo/miniconda2/lib/python2.7/site-packages/matplotlib/backends/__init__.py", line 32, in pylab_setup 
    globals(),locals(),[backend_name],0) 
    File "/Users/foo/miniconda2/lib/python2.7/site-packages/matplotlib/backends/backend_macosx.py", line 24, in <module> 
    from matplotlib.backends import _macosx 
RuntimeError: Python is not installed as a framework. The Mac OS X backend will not be able to function correctly if Python is not installed as a framework. See the Python documentation for more information on installing Python as a framework on Mac OS X. Please either reinstall Python as a framework, or try one of the other backends. If you are Working with Matplotlib in a virtual enviroment see 'Working with Matplotlib in Virtual environments' in the Matplotlib FAQ 

Answer 1

仮想enviormentを使用していますか。今はあなたのPythonがフレームワークではないと思っています。お使いの端末の実行で

which python 

、あなたはmatplotlibのを使用している場合、それは

/Library/Frameworks/Python.framework/Versions/2.7/bin/python 

を返しますが、常に「参照仮想環境には、」パイソンhttps://www.python.org/downloads/