Rolling Apply and Mapping Functions - p.15 Data Analysis with Python and Pandas Tutorial

Channel:
Subscribers:
1,410,000
Published on ● Video Link: https://www.youtube.com/watch?v=uLqmM6ExPvo



Category:
Tutorial
Duration: 19:12
29,238 views
228


In this data analysis with Python and Pandas tutorial, we cover function mapping and rolling_apply with Pandas.

The idea of function mapping and rolling apply is to allow you to fully customize Pandas to do whatever you need. If there isn't a pre-built method or function for you to run against to your dataframe to do analysis or manipulation, you can use function mapping, creating your own function entirely.

Sample code and text-based version of this tutorial: http://pythonprogramming.net/rolling-apply-mapping-functions-data-analysis-python-pandas-tutorial/

If you need to do something similar to this, but in a rolling fashion with a moving window, then you can do this with rolling_apply. Both will be covered here.

http://pythonprogramming.net
https://twitter.com/sentdex




Other Videos By sentdex


2015-12-13Integrating Paypal with Flask - Flask Web Development with Python 34
2015-12-11Pygal SVG embedded Graphs - Flask Web Development with Python 33
2015-12-08jQuery with Flask - Flask Web Development with Python 32
2015-12-06Protected directories and Files - Flask Web Development with Python 31
2015-11-30Return Files with send_file - Flask Web Development with Python 30
2015-11-27Flask Mail - Flask Web Development with Python 29
2015-11-23URL Converters - Flask Web Development with Python 28
2015-11-18Jinja Templating Cont'd - Flask Web Development with Python 27
2015-11-16Includes - Flask Web Development with Python 26
2015-11-08Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial
2015-11-03Rolling Apply and Mapping Functions - p.15 Data Analysis with Python and Pandas Tutorial
2015-10-29Adding other economic indicators - p.14 Data Analysis with Python and Pandas Tutorial
2015-10-27Joining 30 year mortgage rate - p.13 Data Analysis with Python and Pandas Tutorial
2015-10-21Applying Comparison Operators to DataFrame - p.12 Data Analysis with Python and Pandas Tutorial
2015-10-17Rolling statistics - p.11 Data Analysis with Python and Pandas Tutorial
2015-10-12Handling Missing Data - p.10 Data Analysis with Python and Pandas Tutorial
2015-10-09Resampling - p.9 Data Analysis with Python and Pandas Tutorial
2015-10-05Percent Change and Correlation Tables - p.8 Data Analysis with Python and Pandas Tutorial
2015-10-03Pickling - p.7 Data Analysis with Python and Pandas Tutorial
2015-09-29Joining and Merging Dataframes - p.6 Data Analysis with Python and Pandas Tutorial
2015-09-25Concatenating and Appending dataframes - p.5 Data Analysis with Python and Pandas Tutorial



Tags:
Pandas
Python (Programming Language)
Data Analysis (Media Genre)
Apply (Programming Language)
rolling_apply