JIYIK CN >

Pandas is one of the commonly used Python libraries for data analysis, and Pandas versions need to be updated regularly. Therefore, other Pandas requirements are incompatible.

Let's look at ways to determine the Pandas version and dependencies on any system.

pd.__version__Find the installed version of Pandas using

We can pd.__version__verify the version of Pandas running on any machine using First, we need to import the Python Pandas package.

Words __version__are preceded and followed by a double underscore.

import pandas as pd

print(pd.__version__)

Output:

1.3.5

The output shows the installed version, which is 1.3.5.

pd.show_versions()Find the version of Pandas dependencies using

To verify the version of a dependency, we can use a utility function pd.show_versions().

import pandas as pd

pd.show_versions()

Following are all the dependencies for Python Pandas package.

Output:

INSTALLED VERSIONS
------------------
commit           : 66e3805b8cabe977f40c05259cc3fcf7ead5687d
python           : 3.7.12.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.144+
Version          : #1 SMP Tue Dec 7 09:58:10 PST 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.5
numpy            : 1.21.5
pytz             : 2018.9
dateutil         : 2.8.2
pip              : 21.1.3
setuptools       : 57.4.0
Cython           : 0.29.28
pytest           : 3.6.4
hypothesis       : None
sphinx           : 1.8.6
blosc            : None
feather          : 0.4.1
xlsxwriter       : None
lxml.etree       : 4.2.6
html5lib         : 1.0.1
pymysql          : None
psycopg2         : 2.7.6.1 (dt dec pq3 ext lo64)
jinja2           : 2.11.3
IPython          : 5.5.0
pandas_datareader: 0.9.0
bs4              : 4.6.3
bottleneck       : 1.3.4
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.2
numexpr          : 2.8.1
odfpy            : None
openpyxl         : 3.0.9
pandas_gbq       : 0.13.3
pyarrow          : 6.0.1
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : 1.4.31
tables           : 3.7.0
tabulate         : 0.8.9
xarray           : 0.18.2
xlrd             : 1.1.0
xlwt             : 1.3.0
numba            : 0.51.2

Find the installed version of Pandas in command or shell mode

Here are other ways to get the version via Windows Command and Linux Shell/Mac OS Terminal. CondaYou need to have Anaconda distribution installed on your system.

# Python
python -c "import pandas as pd; print(pd.__version__)"

# Anaconda utility Conda
conda list | findstr pandas

# By using pip
pip freeze | findstr pandas
pip show pandas | findstr Version

in conclusion

You have learned techniques to get or find the installed version of Pandas. These can be used on any operating system that supports Python, pip, Anaconda, Linux, Windows, and Mac.

You've seen how to get the version programmatically using __version__the property and method.show_versions()