How to Fix: No module named pandas
Last Updated :
19 Dec, 2021
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
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
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
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