无法导入熊猫

Question

Maybe I wasn't clear before so I am reformatting the whole question. There is most likely some error with my path variables that I don't know how to fix...

I have a script entitled test.py:

import pandas as pd
df = pd.csv_read("nbaData.csv")

When running this script I get this error:

C:\Users\joeblow\Desktop\repos\BitBucket\basketball>python test.py
Traceback (most recent call last):
  File "test.py", line 1, in <module>
    import pandas as pd
  File "C:\Python27\lib\site-packages\pandas\__init__.py", line 13, in <module>
    "extensions first.".format(module))
ImportError: C extension: No module named numpy not built. If you want to import
 pandas from the source directory, you may need to run 'python setup.py build_ex
t --inplace' to build the C extensions first.

When typing conda install pandas

C:\Users\joeblow\Desktop\repos\BitBucket\basketball>conda install pandas
Fetching package metadata: C:\Users\joeblow\Anaconda\lib\site-packages\requests\p
ackages\urllib3\util\ssl_.py:90: InsecurePlatformWarning: A true SSLContext obje
ct is not available. This prevents urllib3 from configuring SSL appropriately an
d may cause certain SSL connections to fail. For more information, see https://u
rllib3.readthedocs.org/en/latest/security.html#insecureplatformwarning.
  InsecurePlatformWarning
....
Solving package specifications: .
# All requested packages already installed.
# packages in environment at C:\Users\joeblow\Anaconda:
#
pandas                    0.16.2               np19py27_0

THIS QUESTION CAN BE DELETED BY A MODERATOR. My solution involved uninstalling and reinstalling python on my computer

Answer 1

It would seem that Conda does not have all of your packages, I'd suggest using Anaconda and follow those instructions it has all the packages, including Pandas no need to install anything else on Windows..

C:\Users\Tom\Anaconda>python
Python 2.7.6 |Anaconda 1.9.2 (64-bit)| (default, Nov 11 2013, 10:49:15) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
>>>