I am trying to write code in Python to fetch Twitter data, and I am not getting an error for twython. But I am getting an error for Pandas.
I have installed Pandas using pip install pandas
. But I still get the following error. How can I fix it?
F:> pip install pandas
Collecting pandas
c:python27libsite-packagespip_vendorrequestspackagesurllib3utilssl_.py
:90: InsecurePlatformWarning: A true SSLContext object is not available. This pr
events urllib3 from configuring SSL appropriately and may cause certain SSL conn
ections to fail. For more information, see https://urllib3.readthedocs.org/en/la
test/security.html#insecureplatformwarning.
InsecurePlatformWarning
Using cached pandas-0.17.0-cp27-none-win32.whl
Requirement already satisfied (use --upgrade to upgrade): pytz>=2011k in c:pyth
on27libsite-packages (from pandas)
Requirement already satisfied (use --upgrade to upgrade): python-dateutil in c:
python27libsite-packages (from pandas)
Collecting numpy>=1.7.0 (from pandas)
Downloading numpy-1.10.1.tar.gz (4.0MB)
100% |################################| 4.1MB 26kB/s
Requirement already satisfied (use --upgrade to upgrade): six>=1.5 in c:python2
7libsite-packages (from python-dateutil->pandas)
Building wheels for collected packages: numpy
Running setup.py bdist_wheel for numpy
Complete output from command c:python27python.exe -c "import setuptools;__fi
le__='c:\users\sangram\appdata\local\temp\pip-build-m6knxg\numpy\setup.p
y';exec(compile(open(__file__).read().replace('rn', 'n'), __file__, 'exec'))"
bdist_wheel -d c:userssangramappdatalocaltemptmppmwkw4pip-wheel-:
Running from numpy source directory.
usage: -c [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
or: -c --help [cmd1 cmd2 ...]
or: -c --help-commands
or: -c cmd --help
error: invalid command 'bdist_wheel'
----------------------------------------
Failed building wheel for numpy
Failed to build numpy
Installing collected packages: numpy, pandas
Running setup.py install for numpy
Complete output from command c:python27python.exe -c "import setuptools, t
okenize;__file__='c:\users\sangram\appdata\local\temp\pip-build-m6knxg\nu
mpy\setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().rep
lace('rn', 'n'), __file__, 'exec'))" install --record c:userssangramappdat
alocaltemppip-ll4zaf-recordinstall-record.txt --single-version-externally-ma
naged --compile:
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['c:\python27\lib', 'C:\', 'c:\py
thon27\libs']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['c:\python27\lib', 'C:\', 'c:\python2
7\libs']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
libraries tatlas not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['c:\python27\lib', 'C:\
', 'c:\python27\libs']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['c:\python27\lib', 'C:\', '
c:\python27\libs']
NOT AVAILABLE
blas_info:
libraries blas not found in ['c:\python27\lib', 'C:\', 'c:\python27\l
ibs']
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
NOT AVAILABLE
non-existing path in 'numpy\distutils': 'site.cfg'
F2PY Version 2
lapack_opt_info:
openblas_lapack_info:
libraries openblas not found in ['c:\python27\lib', 'C:\', 'c:\python2
7\libs']
NOT AVAILABLE
lapack_mkl_info:
mkl_info:
libraries mkl,vml,guide not found in ['c:\python27\lib', 'C:\', 'c:\py
thon27\libs']
NOT AVAILABLE
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
libraries tatlas,tatlas not found in c:python27lib
libraries lapack_atlas not found in c:python27lib
libraries tatlas,tatlas not found in C:
libraries lapack_atlas not found in C:
libraries tatlas,tatlas not found in c:python27libs
libraries lapack_atlas not found in c:python27libs
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
libraries satlas,satlas not found in c:python27lib
libraries lapack_atlas not found in c:python27lib
libraries satlas,satlas not found in C:
libraries lapack_atlas not found in C:
libraries satlas,satlas not found in c:python27libs
libraries lapack_atlas not found in c:python27libs
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in c:python27lib
libraries lapack_atlas not found in c:python27lib
libraries ptf77blas,ptcblas,atlas not found in C:
libraries lapack_atlas not found in C:
libraries ptf77blas,ptcblas,atlas not found in c:python27libs
libraries lapack_atlas not found in c:python27libs
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
libraries f77blas,cblas,atlas not found in c:python27lib
libraries lapack_atlas not found in c:python27lib
libraries f77blas,cblas,atlas not found in C:
libraries lapack_atlas not found in C:
libraries f77blas,cblas,atlas not found in c:python27libs
libraries lapack_atlas not found in c:python27libs
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
lapack_info:
libraries lapack not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
NOT AVAILABLE
lapack_src_info:
NOT AVAILABLE
NOT AVAILABLE
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler
options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler
options
running build_src
build_src
building py_modules sources
creating build
creating buildsrc.win32-2.7
creating buildsrc.win32-2.7numpy
creating buildsrc.win32-2.7numpydistutils
building library "npymath" sources
Running from numpy source directory.
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1651: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
warnings.warn(AtlasNotFoundError.__doc__)
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1660: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1663: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
warnings.warn(BlasSrcNotFoundError.__doc__)
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1552: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
warnings.warn(AtlasNotFoundError.__doc__)
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1563: UserWarning:
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable.
warnings.warn(LapackNotFoundError.__doc__)
c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1566: UserWarning:
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable.
warnings.warn(LapackSrcNotFoundError.__doc__)
c:python27libdistutilsdist.py:267: UserWarning: Unknown distribution opt
ion: 'define_macros'
warnings.warn(msg)
error: Unable to find vcvarsall.bat
----------------------------------------
Command "c:python27python.exe -c "import setuptools, tokenize;__file__='c:\us
ers\sangram\appdata\local\temp\pip-build-m6knxg\numpy\setup.py';exec(comp
ile(getattr(tokenize, 'open', open)(__file__).read().replace('rn', 'n'), __fi
le__, 'exec'))" install --record c:userssangramappdatalocaltemppip-ll4zaf-
recordinstall-record.txt --single-version-externally-managed --compile" failed
with error code 1 in c:userssangramappdatalocaltemppip-build-m6knxgnumpy
F:>python tweet_fetcher.py
Traceback (most recent call last):
File "tweet_fetcher.py", line 1, in <module>
import pandas
ImportError: No module named pandas
17 авг. 2022 г.
читать 1 мин
Одна распространенная ошибка, с которой вы можете столкнуться при использовании Python:
no module named ' pandas '
Эта ошибка возникает, когда Python не обнаруживает библиотеку pandas в вашей текущей среде.
В этом руководстве представлены точные шаги, которые вы можете использовать для устранения этой ошибки.
Шаг 1: pip установить Pandas
Поскольку pandas не устанавливается автоматически вместе с Python, вам нужно будет установить его самостоятельно. Самый простой способ сделать это — использовать pip , менеджер пакетов для Python.
Вы можете запустить следующую команду pip для установки панд:
pip install pandas
В большинстве случаев это исправит ошибку.
Шаг 2: Установите пип
Если вы все еще получаете сообщение об ошибке, вам может потребоваться установить pip. Используйте эти шаги , чтобы сделать это.
Вы также можете использовать эти шаги для обновления pip до последней версии, чтобы убедиться, что он работает.
Затем вы можете запустить ту же команду pip, что и раньше, для установки pandas:
pip install pandas
На этом этапе ошибка должна быть устранена.
Шаг 3: Проверьте версии pandas и pip
Если вы все еще сталкиваетесь с ошибками, возможно, вы используете другую версию pandas и pip.
Вы можете использовать следующие команды, чтобы проверить, совпадают ли ваши версии pandas и pip:
which python
python --version
which pip
Если две версии не совпадают, вам нужно либо установить более старую версию pandas, либо обновить версию Python.
Шаг 4: Проверьте версию панд
После того, как вы успешно установили pandas, вы можете использовать следующую команду, чтобы отобразить версию pandas в вашей среде:
pip show pandas
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: /srv/conda/envs/notebook/lib/python3.6/site-packages
Requires: python-dateutil, pytz, numpy
Required-by:
Note: you may need to restart the kernel to use updated packages.
Примечание. Самый простой способ избежать ошибок с версиями pandas и Python — просто установить Anaconda , набор инструментов, предустановленный вместе с Python и pandas и бесплатный для использования.
Дополнительные ресурсы
В следующих руководствах объясняется, как исправить другие распространенные проблемы в Python:
Как исправить: нет модуля с именем numpy
Как исправить: нет модуля с именем plotly
Как исправить: имя NameError ‘pd’ не определено
Как исправить: имя NameError ‘np’ не определено
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
import
pandas
pandas.DataFrame({
'a'
: [
1
,
2
]})
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
Python3
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
Python3
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
Python3
pip3 install pandas
-
-
upgrade
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
Python3
pip3 install pandas
=
=
1.3
.
4
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
Python3
import
pandas as pd
pd.__version__
Output:
1.1.5
Last Updated :
19 Dec, 2021
Like Article
Save Article
The error “ModuleNotFoundError: No module named pandas» is a common error experienced by data scientists when developing in Python. The error is likely an environment issue whereby the pandas package has not been installed correctly on your machine, thankfully there are a few simple steps to go through to troubleshoot the problem and find a solution.
Your error, whether in a Jupyter Notebook or in the terminal, probably looks like one of the following:
No module named 'pandas'
ModuleNotFoundError: No module named 'pandas'
In order to find the root cause of the problem we will go through the following potential fixes:
- Upgrade pip version
- Upgrade or install pandas package
- Check if you are activating the environment before running
- Create a fresh environment
- Upgrade or install Jupyer Notebook package
Are you installing packages using Conda or Pip package manager?
It is common for developers to use either Pip or Conda for their Python package management. It’s important to know what you are using before we continue with the fix.
If you have not explicitly installed and activated Conda, then you are almost definitely going to be using Pip. One sanity check is to run conda info
in your terminal, which if it returns anything likely means you are using Conda.
Upgrade or install pip for Python
First things first, let’s check to see if we have the up to date version of pip installed. We can do this by running:
pip install --upgrade pip
Upgrade or install pandas package via Conda or Pip
The most common reason for this error is that the pandas package is not installed in your environment or an outdated version is installed. So let’s update the package or install it if it’s missing.
For Conda:
# To install in the root environment
conda install -c anaconda pandas
# To install in a specific environment
conda install -n MY_ENV pandas
For Pip:
# To install in the root environment
python3 -m pip install -U pandas
# To install in a specific environment
source MY_ENV/bin/activate
python3 -m pip install -U pandas
Activate Conda or venv Python environment
It is highly recommended that you use isolated environments when developing in Python. Because of this, one common mistake developers make is that they don’t activate the correct environment before they run the Python script or Jupyter Notebook. So, let’s make sure you have your correct environment running.
For Conda:
conda activate MY_ENV
For virtual environments:
source MY_ENV/bin/activate
Create a new Conda or venv Python environment with pandas installed
During the development process, a developer will likely install and update many different packages in their Python environment, which can over time cause conflicts and errors.
Therefore, one way to solve the module error for pandas is to simply create a new environment with only the packages that you require, removing all of the bloatware that has built up over time. This will provide you with a fresh start and should get rid of problems that installing other packages may have caused.
For Conda:
# Create the new environment with the desired packages
conda create -n MY_ENV python=3.9 pandas
# Activate the new environment
conda activate MY_ENV
# Check to see if the packages you require are installed
conda list
For virtual environments:
# Navigate to your project directory
cd MY_PROJECT
# Create the new environment in this directory
python3 -m venv MY_ENV
# Activate the environment
source MY_ENV/bin/activate
# Install pandas
python3 -m pip install pandas
Upgrade Jupyter Notebook package in Conda or Pip
If you are working within a Jupyter Notebook and none of the above has worked for you, then it could be that your installation of Jupyter Notebooks is faulty in some way, so a reinstallation may be in order.
For Conda:
conda update jupyter
For Pip:
pip install -U jupyter
Best practices for managing Python packages and environments
Managing packages and environments in Python is notoriously problematic, but there are some best practices which should help you to avoid package the majority of problems in the future:
- Always use separate environments for your projects and avoid installing packages to your root environment
- Only install the packages you need for your project
- Pin your package versions in your project’s requirements file
- Make sure your package manager is kept up to date
References
Conda managing environments documentation
Python venv documentation
When setting up our Python data analysis environments on Windows, MAC or Linux and getting started with our coding we might encounter import errors.
These errors originate from the fact that specific packages we call in our Python code (wrote using Jupyter Lab or Notebooks, Spyder, PyCharm, VSCode or other development environment your might be using) are simply not available in our computers.
In today’s example we’ll focus on troubleshooting Pandas modulenotfound errors, but the procedure below is similar for any Python package, including the Data Analysis related ones such as Numpy, Seaborn, Matplotlib and others.
You might be receiving two types of errors; we typically troubleshoot them in similar ways:
- modulenotfounderror: no module named ‘pandas’,
- importerror: no module named pandas
Solving the importerror: no module named ‘pandas’
As mentioned above, if you are receiving this error or the modulenotfound error; it’s very likely that the pandas library is not installed in your Python development environment.
If you get such an error, you can easily solve it with the Python pip utility. Kindly proceed as following (the tutorial below assumes that you have an internet connection available and that you are using Windows):
- First off, ensure that you work has been saved and close your Python development environment.
- Then, hit the Windows key or the magnifying glass in your taskbar, and type cmd.
- Hit Enter
- The command prompt will open.
- Go ahead and type:
pip install pandas
- Hit Enter.
- Python will download the pandas library from the online repository.
- Once done, type exit followed by Enter to close your command prompt.
- Open your Python development environment and open your Python script or Notebook.
- Re-run your code.
You should be all-set. You can even verify your pandas package version by typing the gollowing command followed by Enter:
import pandas as pd
pd.__version__
In my case, the version i currently use is
'1.1.2'
Troubleshoot pandas modulenotfounderror on MiniConda or Anaconda
If you are using Anaconda, you are less likely to encounter import errors, as pandas is part of the default Anaconda delivery.
If you are using MiniConda, you might need to employ a few extra steps.
- Hit the Windows button or magnifying glass icon (alternatively, hit the Windows key + S).
- Type Anaconda Prompt and hit the Enter key.
- First off, we’ll activate the environment so we can modify it.
- Type conda activate <full_environment_path> then hit Enter.
- Then instead of using PIP we’ll type:
conda install pandas
- Hit Enter.
- pandas will be installed in your MiniConda package folder.
- Close the Anaconda Prompt.
- Open your Python Notebook / Script.
Follow up reading: encountering errors when trying to use the requests module? Here’s how to install requests in Python if an import error is found.