I have this boilerplate in a minimal Anjuta app that runs. I do not want to install pandas to the system python path so I am using Virtualenv. When I add import pandas as pd I get the following error message.
Not sure if this is Anjuta or Pandas related. I have googled for the error message but nothing instrumental. What do I do?
#!/home/USERNAME/my_app/bin/python3.6
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, GdkPixbuf, Gdk
import os, sys, gi
...
from shutil import copyfile
import pandas as pd
...
And I get this.
EXECUTING:
/home/USERNAME/my_app/src/my_app.py
----------------------------------------------
Traceback (most recent call last):
File "/home/USERNAME/my_app/src/my_app.py", line 35, in <module>
import pandas as pd
File "/home/USERNAME/my_app/virtualenv_my_app/my_app/lib/python3.6/site-packages/pandas/__init__.py", line 57, in <module>
from pandas.io.api import *
File "/home/USERNAME/my_app/virtualenv_my_app/my_app/lib/python3.6/site-packages/pandas/io/api.py", line 19, in <module>
from pandas.io.packers import read_msgpack, to_msgpack
File "/home/USERNAME/my_app/virtualenv_my_app/my_app/lib/python3.6/site-packages/pandas/io/packers.py", line 69, in <module>
from pandas.util._move import (
ValueError: module functions cannot set METH_CLASS or METH_STATIC
----------------------------------------------
Program exited with errcode (1)
Press the Enter key to close this terminal ...
without the import pandas as pd the program runs just fine...
EXECUTING:
/home/USERNAME/my_app/src/my_app.py
----------------------------------------------
/home/USERNAME/my_app/test.xlsx
----------------------------------------------
Program exited with errcode (0)
Press the Enter key to close this terminal ...
The same import pandas as pd runs fine if used from a command line python script from the same directory and same virtualenv. Also it runs when called via subprocess.call() from Anjuta runmode.
I am on Ubuntu 18.04 and have installed Anjuta with apt, pandas with pip install pandas.
It seems to be a problem with python 3.6; I had the same problem except I was using matlibplot, numpy and pandas with the following order:
And it gave me the same error you got, I rearranged my import order so that it looks like:
And now it runs well. See this github issue which is very related: https://github.com/pandas-dev/pandas/issues/23040 . Quoting the last user who posted as today named "AlfTang":