No module named numpy





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0















I am trying to run Jupyter notebook from my Ubuntu subsystem in Windows 10. I've installed numpy, scipy, and pandas using the following commands:



pip install scipy numpy
pip install pandas


When I load python in Ubuntu, there is no issue importing numpy in Ubuntu cmd.
enter image description here



But, when I run my Jupyter Notebook from Ubuntu terminal, and try to import numpy as np, or import pandas as pd, they report



ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-a9340201ed9f> in <module>
5 import dash_html_components as html
6 import plotly.graph_objs as go
----> 7 import numpy as np
8 from dash.dependencies import Input, Output
9

ModuleNotFoundError: No module named 'numpy'


Is there anyway to solve this issue? Thanks a lot.










share|improve this question

























  • did you run script in to (base) virtual env as per you invoke it manually?

    – AtomiX84
    Feb 12 at 11:59











  • no..how do you run that? I am sorry I am new to Ubuntu.

    – commentallez-vous
    Feb 12 at 12:02











  • I immage you are in a virtual env due the (base) in the image

    – AtomiX84
    Feb 12 at 12:04











  • error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

    – AtomiX84
    Feb 12 at 12:05











  • humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

    – commentallez-vous
    Feb 12 at 12:06


















0















I am trying to run Jupyter notebook from my Ubuntu subsystem in Windows 10. I've installed numpy, scipy, and pandas using the following commands:



pip install scipy numpy
pip install pandas


When I load python in Ubuntu, there is no issue importing numpy in Ubuntu cmd.
enter image description here



But, when I run my Jupyter Notebook from Ubuntu terminal, and try to import numpy as np, or import pandas as pd, they report



ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-a9340201ed9f> in <module>
5 import dash_html_components as html
6 import plotly.graph_objs as go
----> 7 import numpy as np
8 from dash.dependencies import Input, Output
9

ModuleNotFoundError: No module named 'numpy'


Is there anyway to solve this issue? Thanks a lot.










share|improve this question

























  • did you run script in to (base) virtual env as per you invoke it manually?

    – AtomiX84
    Feb 12 at 11:59











  • no..how do you run that? I am sorry I am new to Ubuntu.

    – commentallez-vous
    Feb 12 at 12:02











  • I immage you are in a virtual env due the (base) in the image

    – AtomiX84
    Feb 12 at 12:04











  • error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

    – AtomiX84
    Feb 12 at 12:05











  • humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

    – commentallez-vous
    Feb 12 at 12:06














0












0








0








I am trying to run Jupyter notebook from my Ubuntu subsystem in Windows 10. I've installed numpy, scipy, and pandas using the following commands:



pip install scipy numpy
pip install pandas


When I load python in Ubuntu, there is no issue importing numpy in Ubuntu cmd.
enter image description here



But, when I run my Jupyter Notebook from Ubuntu terminal, and try to import numpy as np, or import pandas as pd, they report



ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-a9340201ed9f> in <module>
5 import dash_html_components as html
6 import plotly.graph_objs as go
----> 7 import numpy as np
8 from dash.dependencies import Input, Output
9

ModuleNotFoundError: No module named 'numpy'


Is there anyway to solve this issue? Thanks a lot.










share|improve this question
















I am trying to run Jupyter notebook from my Ubuntu subsystem in Windows 10. I've installed numpy, scipy, and pandas using the following commands:



pip install scipy numpy
pip install pandas


When I load python in Ubuntu, there is no issue importing numpy in Ubuntu cmd.
enter image description here



But, when I run my Jupyter Notebook from Ubuntu terminal, and try to import numpy as np, or import pandas as pd, they report



ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-a9340201ed9f> in <module>
5 import dash_html_components as html
6 import plotly.graph_objs as go
----> 7 import numpy as np
8 from dash.dependencies import Input, Output
9

ModuleNotFoundError: No module named 'numpy'


Is there anyway to solve this issue? Thanks a lot.







16.04 python jupyter numpy pandas






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Feb 12 at 11:47







commentallez-vous

















asked Feb 12 at 11:31









commentallez-vouscommentallez-vous

1012




1012













  • did you run script in to (base) virtual env as per you invoke it manually?

    – AtomiX84
    Feb 12 at 11:59











  • no..how do you run that? I am sorry I am new to Ubuntu.

    – commentallez-vous
    Feb 12 at 12:02











  • I immage you are in a virtual env due the (base) in the image

    – AtomiX84
    Feb 12 at 12:04











  • error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

    – AtomiX84
    Feb 12 at 12:05











  • humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

    – commentallez-vous
    Feb 12 at 12:06



















  • did you run script in to (base) virtual env as per you invoke it manually?

    – AtomiX84
    Feb 12 at 11:59











  • no..how do you run that? I am sorry I am new to Ubuntu.

    – commentallez-vous
    Feb 12 at 12:02











  • I immage you are in a virtual env due the (base) in the image

    – AtomiX84
    Feb 12 at 12:04











  • error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

    – AtomiX84
    Feb 12 at 12:05











  • humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

    – commentallez-vous
    Feb 12 at 12:06

















did you run script in to (base) virtual env as per you invoke it manually?

– AtomiX84
Feb 12 at 11:59





did you run script in to (base) virtual env as per you invoke it manually?

– AtomiX84
Feb 12 at 11:59













no..how do you run that? I am sorry I am new to Ubuntu.

– commentallez-vous
Feb 12 at 12:02





no..how do you run that? I am sorry I am new to Ubuntu.

– commentallez-vous
Feb 12 at 12:02













I immage you are in a virtual env due the (base) in the image

– AtomiX84
Feb 12 at 12:04





I immage you are in a virtual env due the (base) in the image

– AtomiX84
Feb 12 at 12:04













error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

– AtomiX84
Feb 12 at 12:05





error like that seems you install all you need in an environment and that modules are not installed in the environment the script run.

– AtomiX84
Feb 12 at 12:05













humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

– commentallez-vous
Feb 12 at 12:06





humm..good question..actually I am not even sure what's wrong. It seems that sudo pip install numpy now shows that I have numpy for Python 2.7, but my Jupyter Notebook runs on Python 3.

– commentallez-vous
Feb 12 at 12:06










1 Answer
1






active

oldest

votes


















2














Every python version get its own environment and modules, so a modules installed for python3.x it is not available to python2.x



Also keep in mind that python get also virtual environment and as per before described the modules and libraries installed in a python3 virtual env are not available in to another virtual environment or in the python3 system installation.



To avoid this situation you can use requirements.txt file and install with pip the necessary modules and libraries needed by your app.
an requirements.txt files example:



numpy
panda


and install modules with:



pip install -r requirements.txt


this will install panda and numpy at the latest version, if you want to install them to a specific version create the requirements.txt file like this:



numpy==1.1
panda>=2.5
math>=1.1,<=1.5


the first install numpy exactly at the provided version, the second install panda at any version is major than 2.5 and the last one install math in a version between the provided.



NOTE: (the software version could not match with the real version)






share|improve this answer
























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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2














    Every python version get its own environment and modules, so a modules installed for python3.x it is not available to python2.x



    Also keep in mind that python get also virtual environment and as per before described the modules and libraries installed in a python3 virtual env are not available in to another virtual environment or in the python3 system installation.



    To avoid this situation you can use requirements.txt file and install with pip the necessary modules and libraries needed by your app.
    an requirements.txt files example:



    numpy
    panda


    and install modules with:



    pip install -r requirements.txt


    this will install panda and numpy at the latest version, if you want to install them to a specific version create the requirements.txt file like this:



    numpy==1.1
    panda>=2.5
    math>=1.1,<=1.5


    the first install numpy exactly at the provided version, the second install panda at any version is major than 2.5 and the last one install math in a version between the provided.



    NOTE: (the software version could not match with the real version)






    share|improve this answer




























      2














      Every python version get its own environment and modules, so a modules installed for python3.x it is not available to python2.x



      Also keep in mind that python get also virtual environment and as per before described the modules and libraries installed in a python3 virtual env are not available in to another virtual environment or in the python3 system installation.



      To avoid this situation you can use requirements.txt file and install with pip the necessary modules and libraries needed by your app.
      an requirements.txt files example:



      numpy
      panda


      and install modules with:



      pip install -r requirements.txt


      this will install panda and numpy at the latest version, if you want to install them to a specific version create the requirements.txt file like this:



      numpy==1.1
      panda>=2.5
      math>=1.1,<=1.5


      the first install numpy exactly at the provided version, the second install panda at any version is major than 2.5 and the last one install math in a version between the provided.



      NOTE: (the software version could not match with the real version)






      share|improve this answer


























        2












        2








        2







        Every python version get its own environment and modules, so a modules installed for python3.x it is not available to python2.x



        Also keep in mind that python get also virtual environment and as per before described the modules and libraries installed in a python3 virtual env are not available in to another virtual environment or in the python3 system installation.



        To avoid this situation you can use requirements.txt file and install with pip the necessary modules and libraries needed by your app.
        an requirements.txt files example:



        numpy
        panda


        and install modules with:



        pip install -r requirements.txt


        this will install panda and numpy at the latest version, if you want to install them to a specific version create the requirements.txt file like this:



        numpy==1.1
        panda>=2.5
        math>=1.1,<=1.5


        the first install numpy exactly at the provided version, the second install panda at any version is major than 2.5 and the last one install math in a version between the provided.



        NOTE: (the software version could not match with the real version)






        share|improve this answer













        Every python version get its own environment and modules, so a modules installed for python3.x it is not available to python2.x



        Also keep in mind that python get also virtual environment and as per before described the modules and libraries installed in a python3 virtual env are not available in to another virtual environment or in the python3 system installation.



        To avoid this situation you can use requirements.txt file and install with pip the necessary modules and libraries needed by your app.
        an requirements.txt files example:



        numpy
        panda


        and install modules with:



        pip install -r requirements.txt


        this will install panda and numpy at the latest version, if you want to install them to a specific version create the requirements.txt file like this:



        numpy==1.1
        panda>=2.5
        math>=1.1,<=1.5


        the first install numpy exactly at the provided version, the second install panda at any version is major than 2.5 and the last one install math in a version between the provided.



        NOTE: (the software version could not match with the real version)







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Feb 12 at 12:29









        AtomiX84AtomiX84

        965111




        965111






























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