pandas_flavor vs pandas

pandas_flavor

The easy way to write your own flavor of Pandas (by pyjanitor-devs)

Pandas

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zsailer.github.io

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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more [Moved to: https://github.com/pandas-dev/pandas] (by pydata)

Data Analysis Pandas Flexible Alignment Python

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pandas_flavor		pandas
	Project
2	Mentions	1
294	Stars	33,264
0.7%	Growth	-
1.2	Activity	10.0
16 days ago	Latest Commit	about 2 years ago
Python	Language	Python
MIT License	License	BSD 3-clause "New" or "Revised" License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pandas_flavor

Posts with mentions or reviews of pandas_flavor. We have used some of these posts to build our list of alternatives and similar projects.

This OOP habit disturbs me (super().__init__(args accumulation):)
1 project | /r/learnpython | 18 Mar 2023

There's established ways to extend pandas btw: - https://pandas.pydata.org/docs/development/extending.html - Also, https://github.com/pyjanitor-devs/pandas_flavor
Using Python Classes to Streamline Data Modelling/Cleaning
1 project | /r/datascience | 21 Jun 2021

Check out pandas-flavor. It's a library that lets you register methods to dataframes. There's definitely a time and a place for OO in pandas data processing but your examples can probably be more simply expressed as methods and pandas flavor can make them easy to "find" as extensions of the frame.

pandas

Posts with mentions or reviews of pandas. We have used some of these posts to build our list of alternatives and similar projects.

Does pandas iterrows have performance issues?
1 project | /r/codehunter | 2 Apr 2022

This discussion on GitHub led me to believe it is caused when mixing dtypes in the dataframe, however the simple example below shows it is there even when using one dtype (float64). This takes 36 seconds on my machine:

What are some alternatives?

When comparing pandas_flavor and pandas you can also consider the following projects:

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.

modin - Modin: Scale your Pandas workflows by changing a single line of code

gurobipy-pandas - Convenience wrapper for building optimization models from pandas data

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datasloth - Natural language Pandas queries and data generation powered by GPT-3

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

pandas-chat - pandas-ai is a python library that uses ChatGPT prompts to analyze and process pandas data in a conversational way.