Pandas pip install error

How to Fix: No module named pandas

In this article, we will discuss how to fix the No module named pandas error.

The error “No module named pandas ” will occur when there is no pandas library in your environment IE the pandas module is either not installed or there is an issue while downloading the module right.

Let’s see the error by creating an pandas dataframe.

Example: Produce the error

Python3

Output:

We will discuss how to overcome this error. In python, we will use pip function to install any module

Syntax:

So we have to specify pandas

Example: Installing Pandas

Python3

Output:

Downloading pandas-3.2.0.tar.gz (281.3 MB)

Downloading py4j-0.10.9.2-py2.py3-none-any.whl (198 kB)

Building wheels for collected packages: pandas

Building wheel for pandas (setup.py) … done

Created wheel for pandas: filename=pyspark-3.2.0-py2.py3-none-any.whl size=281805912 sha256=c6c9edb963f9a25f31d11d88374ce3be6b3c73ac73ac467ef40b51b5f4eca737

Stored in directory: /root/.cache/pip/wheels/0b/de/d2/9be5d59d7331c6c2a7c1b6d1a4f463ce107332b1ecd4e80718

Successfully built pandas

Installing collected packages: py4j, pandas

Successfully installed py4j-0.10.9.2 pandas-3.2.0

We can verify by again typing same command then the output will be:

Output:

Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.1.5)

To get the pandas description in our environment we can use the show command. This can help keep track of the module and its installation.

Example: Show module description

Источник

Unable to Install Pandas on Python 3.9.0a3 #32045

Code Sample, a copy-pastable example if possible

Problem description

Keep getting message still running.. but no luck
PS C:WindowsSystem32WindowsPowerShellv1.0> pip install pandas
Collecting pandas
Downloading https://files.pythonhosted.org/packages/02/c3/e8c56de02d6c52f8541feca2fd77117e8ae4956f7b3e5cdbed726624039b/pandas-1.0.1.tar.gz (4.9MB)
Installing build dependencies: started
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: still running.
Installing build dependencies: finished with status ‘error’
pip : ERROR: Command errored out with exit status 1:
At line:1 char:1

pip install pandas

—ignore-installed —no-user —prefix ‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlay’ —no-warn-script-location
—no-binary :none: —only-binary :none: -i https://pypi.org/simple —trusted-host pypi.org —trusted-host files.pythonhosted.org — setuptools wheel
‘Cython>=0.29.13’ ‘numpy==1.13.3; python_version==’»‘»‘3.6′»‘»‘ and platform_system!=’»‘»‘AIX’»‘»» ‘numpy==1.14.5; python_version>=’»‘»‘3.7′»‘»‘ and
platform_system!=’»‘»‘AIX’»‘»» ‘numpy==1.16.0; python_version==’»‘»‘3.6′»‘»‘ and platform_system==’»‘»‘AIX’»‘»» ‘numpy==1.16.0;
python_version>=’»‘»‘3.7′»‘»‘ and platform_system==’»‘»‘AIX’»‘»»
cwd: None
Complete output (1933 lines):
Ignoring numpy: markers ‘python_version == «3.6» and platform_system != «AIX»‘ don’t match your environment
Ignoring numpy: markers ‘python_version == «3.6» and platform_system == «AIX»‘ don’t match your environment
Ignoring numpy: markers ‘python_version >= «3.7» and platform_system == «AIX»‘ don’t match your environment
Collecting setuptools
Downloading setuptools-45.2.0-py3-none-any.whl (584 kB)
Collecting wheel
Downloading wheel-0.34.2-py2.py3-none-any.whl (26 kB)
Collecting Cython>=0.29.13
Downloading Cython-0.29.15-py2.py3-none-any.whl (968 kB)
Collecting numpy==1.14.5
Downloading numpy-1.14.5.zip (4.9 MB)
Installing collected packages: setuptools, wheel, Cython, numpy
Running setup.py install for numpy: started
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: still running.
Running setup.py install for numpy: finished with status ‘error’
ERROR: Command errored out with exit status 1:
command: ‘c:usersyogendra.k.bhardwajpythonpython39python.exe’ -u -c ‘import sys, setuptools, tokenize; sys.argv[0] =
‘»‘»‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpysetup.py’»‘»‘;
file=’»‘»‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpysetup.py’»‘»‘;f=getattr(tokenize, ‘»‘»‘open’»‘»‘,
open)(file);code=f.read().replace(‘»‘»‘rn’»‘»‘, ‘»‘»‘n’»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec’»‘»‘))’ install —record
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-record-oqns_udyinstall-record.txt’ —single-version-externally-managed —prefix
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlay’ —compile —install-headers
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlayIncludenumpy’
cwd: C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpy
Complete output (1898 lines):
Running from numpy source directory.

.py:464: SyntaxWarning: «is» with a literal. Did you mean «==»?
return is_string(s) and (‘*’ in s or ‘?’ is s)
blas_opt_info:
blas_mkl_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in [‘c:usersyogendra.k.bhardwajpythonpython39lib’, ‘C:’,
‘c:usersyogendra.k.bhardwajpythonpython39libs’]
NOT AVAILABLE

‘c:usersyogendra.k.bhardwajpythonpython39libs’]
NOT AVAILABLE

‘c:usersyogendra.k.bhardwajpythonpython39libs’]
get_default_fcompiler: matching types: ‘[‘gnu’, ‘intelv’, ‘absoft’, ‘compaqv’, ‘intelev’, ‘gnu95’, ‘g95’, ‘intelvem’, ‘intelem’, ‘flang’]’
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort

The text was updated successfully, but these errors were encountered:

Источник

Problems installing pandas using pip #13095

I installed pandas via pip git

pip install git+git://github.com/pydata/pandas.git

and during the installation it says:

Running setup.py install for pandas . done Successfully installed pandas-0.18.0+207.gc6110e2

But when I want to import it, it gives an error

C extension: hashtable not built. If you want to import pandas from the source directory, you may need to run ‘python setup.py build_ext —inplace’ to build the C extensions first.

I already tried to run this but the response is always:

python: can’t open file ‘setup.py’: [Errno 2] No such file or directory

Maybe I am in the wrong directory. So in which I am suppose to run it?
Also I looked in site-packages but can’t find pandas or something similar.

I am confused since it said it runs the setup.py during the installation.

Can anyone help? What I am doing wrong?

Thanks in advance

The text was updated successfully, but these errors were encountered:

are you trying to contribute? you need to git clone , see here

otherwise see installation instructions here

generally a pip install pandas (or much better is simply to use conda ).

I think that pip doesn’t install the deps correctly if you are installing like this (and that its failing because you don’t have the build deps installed, e.g. cython/numpy).

Think the error message from pandas could include —force

@MaximilianR that’s a good point. do you want to PR for an extended message?

I tried conda before but it is the same problem with importing. So I tried it in an new created environment and without. Installing seems to be always fine. Just importing is the same problem always

adding -force doesn’t help since it can’t find setup.py at all such that it still gives the error

so I found now the pandas in

but still can’t find any setup.py

once you install via anaconda you don’t need to do anything else.

Great it worked, except form another name of the environment I don’t what I did different last time. However, it worked! So thanks a lot. 🙂
Could just explain me why do I need this environment?

@lherstix you don’t :> that was just a test the -n can be anything. its up to you (and you can have multiple ones). http://conda.pydata.org/docs/

Thanks a lot, that helped 🙂

So after pandas worked fine, I installed seaborn the same way and in the same environment. Now I get an error for pandas and for seaborn when I import them:
import pandas as pd
import seaborn as sns
I get the following error:

Traceback (most recent call last): File «test1.py», line 1, in import pandas as pd File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/__init__.py», line 39, in from pandas.core.api import * File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/core/api.py», line 10, in from pandas.core.groupby import Grouper File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/core/groupby.py», line 18, in from pandas.core.frame import DataFrame File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/core/frame.py», line 39, in from pandas.core.series import Series File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/core/series.py», line 2944, in import pandas.tools.plotting as _gfx # noqa File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/tools/plotting.py», line 27, in import pandas.tseries.converter as conv File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/pandas/tseries/converter.py», line 7, in import matplotlib.units as units File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1131, in rcParams = rc_params() File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 975, in rc_params return rc_params_from_file(fname, fail_on_error) File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1100, in rc_params_from_file config_from_file = _rc_params_in_file(fname, fail_on_error) File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1018, in _rc_params_in_file with _open_file_or_url(fname) as fd: File «/Users/lena/anaconda/envs/test/lib/python2.7/contextlib.py», line 17, in __enter__ return self.gen.next() File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1000, in _open_file_or_url encoding = locale.getdefaultlocale()[1] File «/Users/lena/anaconda/envs/test/lib/python2.7/locale.py», line 543, in getdefaultlocale return _parse_localename(localename) File «/Users/lena/anaconda/envs/test/lib/python2.7/locale.py», line 475, in _parse_localename raise ValueError, ‘unknown locale: %s’ % localename ValueError: unknown locale: UTF-8

If I comment out import pandas as pd , I get:

Traceback (most recent call last): File «test1.py», line 9, in import seaborn as sns File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/seaborn/__init__.py», line 1, in from .rcmod import * File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/seaborn/rcmod.py», line 6, in import matplotlib as mpl File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1131, in rcParams = rc_params() File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 975, in rc_params return rc_params_from_file(fname, fail_on_error) File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1100, in rc_params_from_file config_from_file = _rc_params_in_file(fname, fail_on_error) File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1018, in _rc_params_in_file with _open_file_or_url(fname) as fd: File «/Users/lena/anaconda/envs/test/lib/python2.7/contextlib.py», line 17, in __enter__ return self.gen.next() File «/Users/lena/anaconda/envs/test/lib/python2.7/site-packages/matplotlib/__init__.py», line 1000, in _open_file_or_url encoding = locale.getdefaultlocale()[1] File «/Users/lena/anaconda/envs/test/lib/python2.7/locale.py», line 543, in getdefaultlocale return _parse_localename(localename) File «/Users/lena/anaconda/envs/test/lib/python2.7/locale.py», line 475, in _parse_localename raise ValueError, ‘unknown locale: %s’ % localename ValueError: unknown locale: UTF-8

I hope it is understandable and you can help me! Greatz!

Источник

Error installing pandas pip

Reading time В· 4 min

ModuleNotFoundError: No module named ‘pandas’ in Python #

The Python «ModuleNotFoundError: No module named ‘pandas’» occurs when we forget to install the pandas module before importing it or install it in an incorrect environment. To solve the error, install the module by running the pip install pandas command.

Open your terminal in your project’s root directory and install the pandas module.

After you install the pandas package, try importing it as follows.

The Python error «ModuleNotFoundError: No module named ‘pandas’» occurs for multiple reasons:

1. Not having the pandas package installed by running pip install pandas .
2. Installing the package in a different Python version than the one you’re using.
3. Installing the package globally and not in your virtual environment.
4. Your IDE running an incorrect version of Python.
5. Naming your module pandas.py which would shadow the official module.
6. Declaring a variable named pandas which would shadow the imported variable.

If the error persists, get your Python version and make sure you are installing the package using the correct Python version.

For example, my Python version is 3.10.4 , so I would install the pandas package with pip3.10 install pandas .

Notice that the version number corresponds to the version of pip I’m using.

If the PATH for pip is not set up on your machine, replace pip with python3 -m pip :

If the «No module named ‘pandas’» error persists, try restarting your IDE and development server/script.

You can check if you have the pandas package installed by running the pip show pandas command.

The pip show pandas command will either state that the package is not installed or show a bunch of information about the package, including the location where the package is installed.

If the package is not installed, make sure your IDE is using the correct version of Python.

For example, In VSCode, you can press CTRL + Shift + P or ( ⌘ + Shift + P on Mac) to open the command palette.

Then type «Python select interpreter» in the field.

Then select the correct python version from the dropdown menu.

If you are using a virtual environment, make sure you are installing pandas in your virtual environment and not globally.

You can try creating a virtual environment if you don’t already have one.

If the python3 -m venv venv command doesn’t work, try the following 2 commands:

• python -m venv venv
• py -m venv venv

Your virtual environment will use the version of Python that was used to create it.

You also shouldn’t be declaring a variable named pandas as that would also shadow the original module.

If the error is not resolved, try to uninstall the pandas package and then install it.

Try restarting your IDE and development server/script.

You can also try to upgrade the version of the pandas package.

This one is for using virtual environments (VENV) on Windows :

This one is for using virtual environments (VENV) on MacOS and Linux :

Conclusion #

The Python «ModuleNotFoundError: No module named ‘pandas’» occurs when we forget to install the pandas module before importing it or install it in an incorrect environment. To solve the error, install the module by running the pip install pandas command.

Источник

In this article, we will discuss how to fix the No module named pandas error.

The error “No module named pandas ” will occur when there is no pandas library in your environment IE the pandas module is either not installed or there is an issue while downloading the module right.

Let’s see the error by creating an pandas dataframe.

Example: Produce the error

Output:

We will discuss how to overcome this error. In python, we will use pip function to install any module

Syntax:

pip install module_name

So we have to specify pandas

Example: Installing Pandas 

Output:

Collecting pandas

  Downloading pandas-3.2.0.tar.gz (281.3 MB)

     |████████████████████████████████| 281.3 MB 9.7 kB/s 

Collecting py4j==0.10.9.2

  Downloading py4j-0.10.9.2-py2.py3-none-any.whl (198 kB)

     |████████████████████████████████| 198 kB 52.8 MB/s 

Building wheels for collected packages: pandas

  Building wheel for pandas (setup.py) … done

  Created wheel for pandas: filename=pyspark-3.2.0-py2.py3-none-any.whl size=281805912 sha256=c6c9edb963f9a25f31d11d88374ce3be6b3c73ac73ac467ef40b51b5f4eca737

  Stored in directory: /root/.cache/pip/wheels/0b/de/d2/9be5d59d7331c6c2a7c1b6d1a4f463ce107332b1ecd4e80718

Successfully built pandas

Installing collected packages: py4j, pandas

Successfully installed py4j-0.10.9.2 pandas-3.2.0

We can verify by again typing same command then the output will be:

Output:

Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.1.5)

To get the pandas description in our environment we can use the show command. This can help keep track of the module and its installation.

Example: Show module description 

Output:

Name: pandas

Version: 1.1.5

Summary: Powerful data structures for data analysis, time series, and statistics

Home-page: https://pandas.pydata.org

Author: None

Author-email: None

License: BSD

Location: /usr/local/lib/python3.7/dist-packages

Requires: numpy, python-dateutil, pytz

Required-by: xarray, vega-datasets, statsmodels, sklearn-pandas, seaborn, pymc3, plotnine, pandas-profiling, pandas-gbq, pandas-datareader, mlxtend, mizani, holoviews, gspread-dataframe, google-colab, fix-yahoo-finance, fbprophet, fastai, cufflinks, cmdstanpy, arviz, altair

Upgrade Pandas

Upgrading pandas is the best advantage to get error-free in your environment. So, we have to upgrade using the following command.

Example: Upgrading Pandas

Output:

Install Specific version

To install a specific version of pandas we have to specify the version in the pip command.

Example: Installing a specific version of a module

Output:

Find the version

If we want to find the version then we have to use __version__

Syntax:

module_name.__version__

Example: Get pandas version

Output:

1.1.5

Code Sample, a copy-pastable example if possible

# Your code here
**Unable to Install Pandas on Python 3.9.0a3** (tags/v3.9.0a3:c33378d, Jan 25 2020, 10:12:02) [MSC v.1916 64 bit (AMD64)] on win32

Problem description

Keep getting message still running.. but no luck
PS C:WindowsSystem32WindowsPowerShellv1.0> pip install pandas
Collecting pandas
Downloading https://files.pythonhosted.org/packages/02/c3/e8c56de02d6c52f8541feca2fd77117e8ae4956f7b3e5cdbed726624039b/pandas-1.0.1.tar.gz (4.9MB)
Installing build dependencies: started
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: still running…
Installing build dependencies: finished with status ‘error’
pip : ERROR: Command errored out with exit status 1:
At line:1 char:1

• pip install pandas

•   + CategoryInfo          : NotSpecified: (  ERROR: Comman... exit status 1::String) [], RemoteException
    + FullyQualifiedErrorId : NativeCommandError
  
   command: 'c:usersyogendra.k.bhardwajpythonpython39python.exe' 'c:usersyogendra.k.bhardwajpythonpython39libsite-packagespip' install 
  

—ignore-installed —no-user —prefix ‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlay’ —no-warn-script-location
—no-binary :none: —only-binary :none: -i https://pypi.org/simple —trusted-host pypi.org —trusted-host files.pythonhosted.org — setuptools wheel
‘Cython>=0.29.13’ ‘numpy==1.13.3; python_version=='»‘»‘3.6′»‘»‘ and platform_system!='»‘»‘AIX'»‘»» ‘numpy==1.14.5; python_version>='»‘»‘3.7′»‘»‘ and
platform_system!='»‘»‘AIX'»‘»» ‘numpy==1.16.0; python_version=='»‘»‘3.6′»‘»‘ and platform_system=='»‘»‘AIX'»‘»» ‘numpy==1.16.0;
python_version>='»‘»‘3.7′»‘»‘ and platform_system=='»‘»‘AIX'»‘»»
cwd: None
Complete output (1933 lines):
Ignoring numpy: markers ‘python_version == «3.6» and platform_system != «AIX»‘ don’t match your environment
Ignoring numpy: markers ‘python_version == «3.6» and platform_system == «AIX»‘ don’t match your environment
Ignoring numpy: markers ‘python_version >= «3.7» and platform_system == «AIX»‘ don’t match your environment
Collecting setuptools
Downloading setuptools-45.2.0-py3-none-any.whl (584 kB)
Collecting wheel
Downloading wheel-0.34.2-py2.py3-none-any.whl (26 kB)
Collecting Cython>=0.29.13
Downloading Cython-0.29.15-py2.py3-none-any.whl (968 kB)
Collecting numpy==1.14.5
Downloading numpy-1.14.5.zip (4.9 MB)
Installing collected packages: setuptools, wheel, Cython, numpy
Running setup.py install for numpy: started
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: still running…
Running setup.py install for numpy: finished with status ‘error’
ERROR: Command errored out with exit status 1:
command: ‘c:usersyogendra.k.bhardwajpythonpython39python.exe’ -u -c ‘import sys, setuptools, tokenize; sys.argv[0] =
‘»‘»‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpysetup.py'»‘»‘;
file='»‘»‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpysetup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘,
open)(file);code=f.read().replace(‘»‘»‘rn'»‘»‘, ‘»‘»‘n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ install —record
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-record-oqns_udyinstall-record.txt’ —single-version-externally-managed —prefix
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlay’ —compile —install-headers
‘C:Usersyogendra.k.bhardwajAppDataLocalTemppip-build-env-8hi0psxyoverlayIncludenumpy’
cwd: C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpy
Complete output (1898 lines):
Running from numpy source directory.

  Note: if you need reliable uninstall behavior, then install
  with pip instead of using `setup.py install`:

    - `pip install .`       (from a git repo or downloaded source
                             release)
    - `pip install numpy`   (last NumPy release on PyPi)


  C:Usersyogendra.k.bhardwajAppDataLocalTemppip-install-tw6jolwpnumpynumpydistutilsmisc_util

.py:464: SyntaxWarning: «is» with a literal. Did you mean «==»?
return is_string(s) and (‘*’ in s or ‘?’ is s)
blas_opt_info:
blas_mkl_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in [‘c:usersyogendra.k.bhardwajpythonpython39lib’, ‘C:’,
‘c:usersyogendra.k.bhardwajpythonpython39libs’]
NOT AVAILABLE

  blis_info:
  No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
  customize MSVCCompiler
    libraries blis not found in ['c:\users\yogendra.k.bhardwaj\python\python39\lib', 'C:\', 

‘c:usersyogendra.k.bhardwajpythonpython39libs’]
NOT AVAILABLE

  openblas_info:
  No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
  customize MSVCCompiler
  No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
  customize MSVCCompiler
    libraries openblas not found in ['c:\users\yogendra.k.bhardwaj\python\python39\lib', 'C:\', 

‘c:usersyogendra.k.bhardwajpythonpython39libs’]
get_default_fcompiler: matching types: ‘[‘gnu’, ‘intelv’, ‘absoft’, ‘compaqv’, ‘intelev’, ‘gnu95’, ‘g95’, ‘intelvem’, ‘intelem’, ‘flang’]’
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort

Quick Fix: Python raises the ImportError: No module named pandas when it cannot find the Pandas installation. The most frequent source of this error is that you haven’t installed Pandas explicitly with pip install pandas.

Alternatively, you may have different Python versions on your computer, and Pandas is not installed for the particular version you’re using. To fix it, run pip install pandas in your Linux/MacOS/Windows terminal.

Problem: You’ve just learned about the awesome capabilities of the Pandas library and you want to try it out, so you start with the following import statement you found on the web:

import pandas as pd

This is supposed to import the Pandas library into your (virtual) environment. However, it only throws the following import error: no module named pandas!

>>> import pandas as pd
ImportError: No module named pandas on line 1 in main.py

You can reproduce this error in the following interactive Python shell:

Why did this error occur?

The reason is that Python doesn’t provide Pandas in its standard library. You need to install Pandas first!

Before being able to import the Pandas module, you need to install it using Python’s package manager pip. You can run the following command in your Windows shell (without the $ symbol):

$ pip install pandas

Here’s the screenshot on my Windows machine:

This simple command installs Pandas in your virtual environment on Windows, Linux, and macOS.

It assumes that you know that your pip version is updated. If it isn’t, use the following two commands (there’s no harm in doing it anyway):

$ python -m pip install --upgrade pip
...
$ pip install pandas

Here’s how this plays out on my Windows command line:

The warning message disappeared!

If you need to refresh your Pandas skills, check out the following Pandas cheat sheets—I’ve compiled the best 5 in this article:

Related article: Top 5 Pandas Cheat Sheets

How to Fix “ImportError: No module named pandas” in PyCharm

If you create a new Python project in PyCharm and try to import the Pandas library, it’ll throw the following error:

Traceback (most recent call last):
  File "C:/Users/xcent/Desktop/Finxter/Books/book_dash/pythonProject/main.py", line 1, in <module>
    import pandas as pd
ModuleNotFoundError: No module named 'pandas'

Process finished with exit code 1

The reason is that each PyCharm project, per default, creates a virtual environment in which you can install custom Python modules. But the virtual environment is initially empty—even if you’ve already installed Pandas on your computer!

Here’s a screenshot:

The fix is simple: Use the PyCharm installation tooltips to install Pandas in your virtual environment—two clicks and you’re good to go!

First, right-click on the pandas text in your editor:

Second, click “Show Context Actions” in your context menu. In the new menu that arises, click “Install Pandas” and wait for PyCharm to finish the installation.

The code will run after your installation completes successfully.

As an alternative, you can also open the “Terminal” tool at the bottom and type:

pip install pandas

If this doesn’t work, you may want to change the Python interpreter to another version using the following tutorial:

• https://www.jetbrains.com/help/pycharm/2016.1/configuring-python-interpreter-for-a-project.html

You can also manually install a new library such as Pandas in PyCharm using the following procedure:

• Open File > Settings > Project from the PyCharm menu.
• Select your current project.
• Click the Python Interpreter tab within your project tab.
• Click the small + symbol to add a new library to the project.
• Now type in the library to be installed, in your example Pandas, and click Install Package.
• Wait for the installation to terminate and close all popup windows.

Here’s a complete introduction to PyCharm:

Related Article: PyCharm—A Helpful Illustrated Guide

Other Ways to Install Pandas

I have found a great online tutorial on how this error can be resolved in some ways that are not addressed here (e.g., when using Anaconda). You can watch the tutorial video here:

And a great screenshot guiding you through a flowchart is available here:

Finally, the tutorial lists the following three steps to overcome the "No Module Named Pandas" issue:

[Summary] ImportError: No module named pandas

Pandas is not part of the Python standard library so it doesn’t ship with the default Python installation.

Thus, you need to install it using the pip installer.

To install pip, follow my detailed guide:

• Tutorial: How to Install PIP on Windows?

Pandas is distributed through pip which uses so-called wheel files.

💡 Info: A .whl file (read: wheel file) is a zip archive that contains all the files necessary to run a Python application. It’s a built-package format for Python, i.e., a zip archive with .whl suffix such as in yourPackage.whl. The purpose of a wheel is to contain all files for a PEP-compliant installation that approximately matches the on-disk format. It allows you to migrate a Python application from one system to another in a simple and robust way.

So, in some cases, you need to install wheel first before attempting to install pandas. This is explored next!

Install Pandas on Windows

Do you want to install Pandas on Windows?

Install wheel first and pandas second using pip for Python 2 or pip3 for Python 3 depending on the Python version installed on your system.

Python 2

pip install wheel
pip install pandas

Python 3

pip3 install wheel
pip3 install pandas

If you haven’t added pip to your environment variable yet, Windows cannot find pip and an error message will be displayed. In this case, run the following commands in your terminal instead to install pandas:

py -m pip install wheel
py -m pip install pandas

Install Pandas on macOS and Linux 

The recommended way to install the pandas module on macOS (OSX) and Linux is to use the commands pip (for Python 2) or pip3 (for Python 3) assuming you’ve installed pip already.

Do you run Python 2?

Copy&paste the following two commands in your terminal/shell:

sudo pip install wheel
sudo pip install pandas

Do you run Python 3?

Copy&paste the following two commands in your terminal/shell:

sudo pip3 install wheel
sudo pip3 install pandas

Do you have easy_install on your system?

Copy&paste the following two commands into your terminal/shell:

sudo easy_install -U wheel
sudo easy_install -U pandas

Do you run CentOs (yum)?

Copy&paste the following two commands into your terminal/shell:

yum install python-wheel
yum install python-pandas

Do you run Ubuntu (Debian)?

Copy&paste the following two commands into your terminal/shell:

sudo apt-get install python-wheel
sudo apt-get install python-pandas

More Finxter Tutorials

Learning is a continuous process and you’d be wise to never stop learning and improving throughout your life. 👑

What to learn? Your subconsciousness often knows better than your conscious mind what skills you need to reach the next level of success.

I recommend you read at least one tutorial per day (only 5 minutes per tutorial is enough) to make sure you never stop learning!

💡 If you want to make sure you don’t forget your habit, feel free to join our free email academy for weekly fresh tutorials and learning reminders in your INBOX.

Also, skim the following list of tutorials and open 3 interesting ones in a new browser tab to start your new — or continue with your existing — learning habit today! 🚀

Python Basics:

• Python One Line For Loop
• Import Modules From Another Folder
• Determine Type of Python Object
• Convert String List to Int List
• Convert Int List to String List
• Convert String List to Float List
• Convert List to NumPy Array
• Append Data to JSON File
• Filter List Python
• Nested List

Python Dependency Management:

• Install PIP
• How to Check Your Python Version
• Check Pandas Version in Script
• Check Python Version Jupyter
• Check Version of Package PIP

Python Debugging:

• Catch and Print Exceptions
• List Index Out Of Range
• Fix Value Error Truth
• Cannot Import Name X Error

Fun Stuff:

• 5 Cheat Sheets Every Python Coder Needs to Own
• 10 Best Python Puzzles to Discover Your True Skill Level
• How to $1000 on the Side as a Python Freelancer

Thanks for learning with Finxter!

Where to Go From Here?

Enough theory. Let’s get some practice!

Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.

To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?

You build high-value coding skills by working on practical coding projects!

Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?

🚀 If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.

If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.

Join the free webinar now!

Programmer Humor

❓ Question: How did the programmer die in the shower? ☠️