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pandas python

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93 reviews
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4.6
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pandas python Reviews

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MT
Meliksah T.
08/17/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Great tool to load, manage, manipulate and save the data on Python

- Ease of use: I can simply read a file by typing read_excel('name.xlsx') and that's it. - Ability to manage all kinds of data for all kind of needs. You have multi-indexed data and you want to sort in a hierarchical way? No problem, pandas has a solution for that, just as it does for everything you do. - It is based on NumPy so it works very efficiently thanks to vectorized background, that's very precious when working with huge amount of data. - It is also based on Matplotlib which makes visualization very convenient. I can simply go write df['data'].hist() to plot histogram or df['data'].plot() for line plot or df['data'].plot(kind = 'bar') for bar plot, without being have to deal with a lot of parameters.
Asad Z.
AZ
Asad Z.
5G/VoLTE/LTE RF Optimization, Function Analyst and AI Assisted Performance Enhancement Engineer
08/01/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Great replacement for Excel

Ease and speed of data handling and manipulation
JS
John Paul S.
07/10/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data manipulation library for python

I like pandas python a lot because this library lets me automate various tasks with a programming language that I would otherwise have to do by hand in Microsoft Excel. Now i just write programs to do the work.

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What is pandas python?

Pandas is a powerful and widely-used open-source data analysis and manipulation library for Python. It provides data structures such as DataFrame and Series, which facilitate the handling of structured data with ease and efficiency. Pandas offers tools for data cleaning, aggregation, and transformation, making it essential for data science and engineering tasks. The library is highly optimized for performance and works seamlessly with other data-centric Python libraries like NumPy and Matplotlib.

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