Find the version of the Pandas and its dependencies in Python

Pandas is the important package for data analysis in Python. There are different versions available for Pandas. Due to some version mismatch, it may create some problems. So we need to find the version numbers of the Pandas. We can see them easily using the following code.

We can use the command like below, to get the version −

pandas.__version__

Example

>>> import pandas as pd
>>> print(pd.__version__)
0.25.2
>>>

We can also get the version of the dependencies using the function like below −

pandas.show_versions()

>>> pd.show_versions()
INSTALLED VERSIONS
------------------
commit : None
python : 3.7.1.final.0
python-bits : 64
OS : Windows
OS-release : 7
machine : AMD64
processor : Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 0.25.2
numpy : 1.15.3
pytz : 2018.7
dateutil : 2.7.4
pip : 19.2.2
setuptools : 39.0.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.2.5
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : 4.6.3
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : 4.2.5
matplotlib : 3.0.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
>>>