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How would you rate your experience with pandas python?
Ease of use in implementing pandas inside of python. I prefer using in anaconda package. Review collected by and hosted on G2.com.
It takes some getting used to the syntax and online documentation is a bit lacking. Review collected by and hosted on G2.com.
It is the best to package available in python for reading the CSV, EXCEL or other files, It provides the rich options to manipulate your data. Review collected by and hosted on G2.com.
Visualization of the data can be improved in the new version of the pandas. Review collected by and hosted on G2.com.
Python Pandas is suitable for multiple different data editing and manipulation tasks Review collected by and hosted on G2.com.
There is a huge number of different options that sometimes need to be defined. Review collected by and hosted on G2.com.
It is an easy to use big data handler. I recommend it to all the data mining students and pros... Review collected by and hosted on G2.com.
Sometimes it works slower due to high memory consumption Review collected by and hosted on G2.com.
Pandas requires less scripting as it as various inbuilt functions.
It has an excellent ways for representating the data Review collected by and hosted on G2.com.
Pandas is very complex to learn and it has very poor documentation and very difficult syntax Review collected by and hosted on G2.com.
1. Pandas is very easy to use (since it is a python library), and there are a lot of functions to make one's code easy, short and efficient.
2. Pandas developer community and support is extremely high, and almost all problems one may ever face is already addressed and solved on StackOverflow and GitHub.
3. Pandas integrate very well with other python libraries.
4. Pandas also contain functions for plotting graphs easily. Review collected by and hosted on G2.com.
Pandas often hang or sometimes crashes when working with very large datasets (big data). Review collected by and hosted on G2.com.
Very strong library that has a lot of features to work with data. Small amount of code is enough for any kind of data process and analysis. Review collected by and hosted on G2.com.
It may be little new for the users who does not know much about python. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
I dislike that the Pandas documentation is a little rough and sometimes unclear as how to use the methods. Review collected by and hosted on G2.com.
Pandas is a very easy to use library. Deal with data with minimum effort. You can clean your data, create data frames, and preprocess your data with this package. You can use it with the Python programming language. Review collected by and hosted on G2.com.
<p>There is not a lot to dislike. You can combine it with other libraries to make it effective.</p> Review collected by and hosted on G2.com.
The ease and the regular update which brings all the features that is required for data preprocessing. Review collected by and hosted on G2.com.
It should be made more robust to handle large dataset Review collected by and hosted on G2.com.
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What is your experience with pandas for data analysis, and what features do you find most useful?
What is pandas python used for?
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