Reputation: 3413
I took a new clean install of OSX 10.9.3 and installed pip, and then did
pip install pandas pip install numpy
Both installs seemed to be perfectly happy, and ran without any errors (though there were a zillion warnings). When I tried to run a python script with import pandas, I got the following error:
numpy.dtype has the wrong size, try recompiling Traceback (most recent call last): File "./moen.py", line 7, in import pandas File "/Library/Python/2.7/site-packages/pandas/__init__.py", line 6, in from . import hashtable, tslib, lib File "numpy.pxd", line 157, in init pandas.hashtable (pandas/hashtable.c:22331) ValueError: numpy.dtype has the wrong size, try recompiling
How do I fix this error and get pandas to load properly?
Upvotes: 16
Views: 28027
Reputation: 11
pip uninstall numpy
uninstalls the old version of numpy
pip install numpy
finds and installs the latest version of numpy
Upvotes: 1
Reputation: 61
open your python, check the imported version of your numpy.
It is very likely that you have multiple numpy installed and python always grab the old one, just make sure to delete the old one would fix the problem.
>>> import numpy as np
>>> np.__version__
>>> np.__file__
#if numpy version <= 1.7 would have the error
#find the file and delete it from (np.__file__)
then install the latest numpy if you don't have it
Upvotes: 5
Reputation: 1780
sudo pip install pandas
sudo easy_install --upgrade numpy
should also realign everything.
Upvotes: 18
Reputation: 515
you can install pandas from its git repo without having to explicitly clone it
pip install git+https://github.com/pydata/pandas.git
that worked for me.
Upvotes: 1
Reputation: 3315
Uninstall both numpy and pandas and try installing pandas from source.
pip uninstall numpy
pip uninstall pandas
git clone git://github.com/pydata/pandas.git
cd pandas
python setup.py install
This worked for me and I am now able to use the latest version of pandas.
Upvotes: 5
Reputation: 384
You can install previous version of pandas.
pip uninstall numpy
pip uninstall pandas
pip install pandas==0.13.1
In my situation it solved problem...
Upvotes: 24