How to solve import error for pandas?

Question

I installed Anaconda with python 2.7.7.
However, whenever I run \"import pandas\" I get the error:
\"ImportError: C extension: y not built. If you want to impo

Answer 1

I was having the same problem now with Python 3.4.3.

I was using pandas-0.18.0.

Upgrading (using pip) solved the issue for me:

[sudo] pip install --upgrade pandas

The final result of the upgrade:

Successfully installed numpy-1.13.3 pandas-0.21.0 python-dateutil-2.6.1 pytz-2017.3 six-1.11.0

After this, the issue was gone!

Answer 2

I was having this problem with python 2.7.13 here is my solution: 1. install Cython with

pip install Cython

2. install g++ and gcc

apt-get install gcc, g++

3. uninstall pandas

pip uninstall pandas

4. reinstall pandas

pip install pandas

then everything will be OK.

Answer 3

I tried all the solutions above, but nothing works out...

Error Message

I got an error message with ipython

ImportError: C extension: iNaT not built. If you want to import pandas 
from the source directory, 
you may need to run 'python setup.py build_ext --inplace --force' 
to build the C extensions first.

and it suggests

$ python setup.py build_ext --inplace --force

Solution

My suggestion: Be careful about the version issue!

I clone pandas from the official github repo, then build it myself and install by pip

Following is the command I typed in terminal

$ cd pandas

$ python setup.py build_ext --inplace --force

$ sudo pip install .  # don't forget the dot 

or, if you want to install in your personal Linux account instead of under the system (due to multiple users issue)

you can add --user flag

$ pip --user install . # don't forget the dot, too

Now, everything works fine on my laptop

My configuration

Ubuntu 16.04
Python 2.7
Numpy 1.13.1 

Good luck!

Answer 4

Actually, none of these answers worked for me in the following environment:

docker-compose # multiple containers, the managing one based on debian
Python 2.7
Django 1.8.19
numpy==1.11.3 # pinned to version, because of https://github.com/rbgirshick/py-faster-rcnn/issues/481

... more requirements

The following solution worked, after reading

https://github.com/pandas-dev/pandas/issues/18281

and

https://github.com/pandas-dev/pandas/issues/16715

which both addressed interim solutions and later recommended upgrading,

so I integrated into the Dockerfile

pip install -r requirements.txt \
&& pip install \
pandas==0.21.0 \
--force-reinstall \
--upgrade \
--no-deps \
--no-cache \
--find-links https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com/ \
--no-index

which is mentioned in https://github.com/pandas-dev/pandas/issues/16715#issuecomment-310063504

I tried all solutions mentioned here, except the accepted answer, also because a) I don't want anaconda in a web production environment and b) it's not a good answer to foster frameworks or cli-solutions for architectures, where a package is not used standalone...

Furthermore, I dislike @colo's answer being downvoted, because it actually is a feasible solution in a certain environment.

For anyone finding this thread with similar requirements and expectations like me, I hope to have saved some minutes.

Answer 5

Instead of installing it with conda or pip, try to install it with your package manager:

sudo apt-get install python3-pandas