Installation Packages
01 Canopy (also known as EPDFree) for Python 2.7 by Enthought Scientific Computing Solutions
canopy-2.1.3.win-x86_64-cp27.msi
https://store.enthought.com/downloads/
02 distribute-0.6.28.tar.gz01
http://pan.baidu.com/s/1eQmBRc2
03 matplotlib-2.0.2-cp27-cp27m-win_amd64.whl
http://www/lfd.uci.edu/~gohlke.pythonlibs/
Installation Steps
01 Install Canopy
02 Add the below paths to the environment variables --> System variables --> Path
> C:UsersI******AppDataLocalEnthoughtCanopyAppappdatacanopy-2.1.3.3542.win-x86_64
> C:UsersI******AppDataLocalEnthoughtCanopyAppappdatacanopy-2.1.3.3542.win-x86_64Scripts
03 [Test] win+r: CMD
1 C:UsersI******>python 2 Enthought Canopy Python 2.7.13 | 64-bit | (default, Mar 30 2017, 11:20:05) [MSC v.1500 64 bit (AMD64)] on win32 3 Type "help", "copyright", "credits" or "license" for more information.
04 Extract distribute-0.6.28.tar.gz; Direct to the folder in CMD
1 > cd Downloads/distribute-0.6.28/distribute-0.6.28 2 > python distribute_setup.py
05 Install pandas02
1 easy_install pandas
Error
1 Unable to find vcvarsall.bat
Solution03
a. Download VC++ for Python 2.7 and install
b. Open the file C:UsersI******AppDataLocalEnthoughtCanopyAppappdatacanopy-2.1.3.3542.win-x86_64Libdistutilsmsvc9compiler.py
c. Search for "vcvarsall = find_vcvarsall(version)"
d. Add a line after it (*pay attention to the indent): vcvarsall = "C:/Users/I******/AppData/Local/Programs/Common/Microsoft/Visual C++ for Python/9.0/vcvarsall.bat"
Retry
1 easy_install pandas
Error
1 Access is denied: 'c:\users\i******\appdata\local\temp\easy_install-djpjyq\pandas-0.20.3\numpy-1.13.1-py2.7-win-amd64.egg\numpy\core\multiarray.pyd'
Solution
a. De-activate McAfee
Retry with Administrator
1 easy_install pandas
Success!
06 Install matplotlib
1 easy_install matplotlib
Error
1 Setup script exited with 1
Solution
Try with pip
a. Manually install pip
1 easy_install.exe pip
b. Install matplotlib using pip (putting the wheel file under path: C:UsersI******)
1 pip install matplotlib-2.0.2-cp27-cp27m-win_amd64.whl
07. [Test]
1 ipython --pylab 2 import numpy as np 3 import pandas as pd 4 import matplotlib.pyplot as plt 5 6 In [1]: plot(arange(10)) 7 Out[1]: [<matplotlib.lines.Line2D at 0x872e940>]
Reference
01 http://jingyan.baidu.com/article/5d6edee2f445fc99eadeeccd.html