Finally, a new version of a Data Science library has been released as Pandas 1.0 with some major changes. It remove all the deprecated functionalities and will need minimum Python version 3.6.
Some of the Major changes in Pandas 1.0 mentioned below::
Requirement Python 3.6.1 ore Higher
This is the biggest change for Pandas and Python that Pandas 1.0 will only work or can only be downloaded. So according to refinement policy, python 2.0 is deprecated and no further support for pandas from 2019.
It has also some Support Policies for further versions of Pandas. Minor releases ( like Pandas 2.0,3.0,…) will not deprecate or remove feature but the Major releases may remove or deprecate some of the features of Pandas.
New Null Values :
In pandas earlier multiple null values are being used for missing data, depending on the data type of the column. In Pandas 1.0 all these values are being combined in the same values as NA, for now, its is limited for some of the datatypes like objects but can be applied to all datatypes soon and being experimented.
As the number of changes in Pandas 1.0 now some of the API are being incompatible due to changes in some common elements like:-
1) DataFrame Type
Installing Pandas 1.0
It can easily be installed by the PIP Python package manager by the command pip install pandas. it is also a part of Anaconda Distribution for scientific computing.
The Best way to install It is to install it on a Virtual Environment because you can run the same script of pandas in both versions side by side and test it.
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