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Problem :

The import matplotlib.pyplot as plt is is giving me the error with python2.7, anaconda3.

The error shown is as below:

ImportError: libGL.so.1: cannot open shared object file: No such file or directory

The Detailed Error report is as below :

Traceback (most recent call last): 
File "<string>", line 1, in <module> 
File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/pyplot.py", line 124, in <module>_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup() File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/__init__.py", line 42, in pylab_setup globals(),locals(),[backend_name],0) File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/backend_qt5agg.py", line 18, in <module> from .backend_qt5 import QtCore File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/backend_qt5.py", line 36, in <module> import matplotlib.backends.qt_editor.figureoptions as figureoptions File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/qt_editor/figureoptions.py", line 30, in <module>
import matplotlib.backends.qt_editor.formlayout as formlayout 
File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/qt_editor/formlayout.py", line 70, in <module>
from matplotlib.backends.qt_compat import QtGui, QtWidgets, QtCore 
File "/serving/anaconda3/envs/python27/lib/python2.7/site-packages/matplotlib/backends/qt_compat.py", line 154, in <module>
from PyQt5 import QtCore, QtGui, QtWidgets
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
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1 Answer

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Solution :

I tried below approach and that worked for me :

import matplotlib 
matplotlib.use("Agg") 
import matplotlib.pyplot as plt

This really worked for me

OR

Please remove below line of code :

import matplotlib.pyplot as plt

 

Please add below line of code :

import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt

The main reason behind such a behavior is that if you are running it on the servers witch do not have the gui support or non interactive mode. And if you try to run same code on the jupyter notebook, it will work fine.

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