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How do I know if Python has pandas installed?
To check whether the pandas package is installed or not in python we can simply verify the version. To get the version details of pandas we have two options.
The first one is using the __version__ attribute.
Example
import pandas as pd print(pd.__version__)
Explanation
To verify the version number of pandas, we can use this __version__ built-in attribute provided by pandas, this will return you the number specifying which version of pandas we have.
Output
1.1.5
The number 1.1.5 represents the version of pandas that is already available.
The second way is using the pandas show_versions() method.
Example
print(pd.show_versions())
show_versions() is a pandas method that will not only give you the information about pandas version, it also provides the details about versions of python and pandas dependent packages and OS Type.
Output
INSTALLED VERSIONS ------------------ commit : b5958ee1999e9aead1938c0bba2b674378807b3d python : 3.8.3.final.0 python-bits : 32 OS : Windows OS-release : 10 Version : 10.0.19041 machine : AMD64 processor : Intel64 Family 6 Model 78 Stepping 3, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United States.1252 pandas : 1.1.5 NumPy : 1.19.4 pytz : 2020.1 dateutil : 2.8.1 pip : 20.3.3 setuptools : 41.2.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 2.11.2 IPython : 7.19.0 pandas_datareader : None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.3.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pytables : None pyxlsb : None s3fs : None scipy : 1.5.4 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : None
The above block represents the version of all pandas dependents and python.
You will find an error message if we don’t have the pandas package. The error message will be like this.
ModuleNotFoundError
The above error will rise when python cannot successfully import a module. In our situation, there may be a chance that we have not yet installed the pandas package or it may be a spelling mistake.
If you found this above error, then install the pandas package. These are the two ways to identify if pandas installed or not.
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