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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 >>>
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