Continuum Anaconda和matplotlib

Question

我在64位窗口界面中將python 2.7的anaconda安裝與cygwin結合使用。據我所知，一切正常安裝，但當我嘗試運行一些示例代碼時，遇到了一個錯誤。

導入錯誤：沒有模塊matplotlib.pyplot命名

示例代碼：

#!/usr/bin/python2.7 
''' 
Demonstrate use of a log color scale in contourf 
''' 

import matplotlib.pyplot as plt 
import numpy as np 
from numpy import ma 
from matplotlib import colors, ticker, cm 
from matplotlib.mlab import bivariate_normal 

N = 100 
x = np.linspace(-3.0, 3.0, N) 
y = np.linspace(-2.0, 2.0, N) 

X, Y = np.meshgrid(x, y) 

# A low hump with a spike coming out of the top right. 
# Needs to have z/colour axis on a log scale so we see both hump and spike. 
# linear scale only shows the spike. 
z = (bivariate_normal(X, Y, 0.1, 0.2, 1.0, 1.0) 
+ 0.1 * bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)) 

# Put in some negative values (lower left corner) to cause trouble with  logs: 
z[:5, :5] = -1 

# The following is not strictly essential, but it will eliminate 
# a warning. Comment it out to see the warning. 
z = ma.masked_where(z <= 0, z) 


# Automatic selection of levels works; setting the 
# log locator tells contourf to use a log scale: 
cs = plt.contourf(X, Y, z, locator=ticker.LogLocator(), cmap=cm.PuBu_r) 

# Alternatively, you can manually set the levels 
# and the norm: 
#lev_exp = np.arange(np.floor(np.log10(z.min())-1), 
#     np.ceil(np.log10(z.max())+1)) 
#levs = np.power(10, lev_exp) 
#cs = P.contourf(X, Y, z, levs, norm=colors.LogNorm()) 

# The 'extend' kwarg does not work yet with a log scale. 

cbar = plt.colorbar() 

plt.show() 

以上是代碼，以使輪廓圖，從matplotlib網站直接解除。

Answer 1

很可能，您的機器上的不同環境中安裝了多個Python解釋器。你是否在Windows下安裝了native anaconda，或者在cygwin下安裝了anaconda？如果是後者，並且你從cygwin運行它，它可能使用CYGWIN_ROOT/usr/bin/python2.7（它沒有matplotlib）而不是你的anaconda安裝（它會這樣做）的python解釋器。

我不使用窗戶，所以我對路徑不積極，但this post是有幫助的。從Cygwin的類型：

$ which python 
$ export PATH=/cygdrive/c/anaconda:$PATH 
$ which python 

，改變該腳本的第一部分

#!/usr/bin/env python 

所以它使用Python由export命令