Panda Dataframe Rolling Function Window Type Examples

Panda Dataframe Rolling Function Window Type Examples

I was trying to figure out the difference between all the window types in the rolling function.  So i plotted them all.  This may help you decide which one to use also.  They are all subtly different.  I used a window size of 50.

You can find the different types here:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rolling.html


You can find the code i used to make the plots here:
https://github.com/ricorx7/rti_python/blob/master/Plots/rti_sql_plot_mag_dir.py

This data is the water velocity collected by an Rowe Technologies Inc. ADCP in the waters in Chile between 8/03/2017 and 9/24/2017.  It is collected just under 2 months.  So you see the increase and decrease in water speeds. The high and low tides.  The yellow band is near the water surface.

Window Type: None
Window Size: 1

Window Type: None
Window Size: 50

Window Type: Bartlett
Window Size: 50

Window Type: Barthann
Window Size: 50

Window Type: Blackman
Window Size: 50

Window Type: BlackmanHarris
Window Size: 50

Window Type: Bohman
Window Size: 50

Window Type: Boxcar
Window Size: 50

Window Type: Gaussian
Window Size: 50
STD: 0.1

Window Type: Gaussian
Window Size: 50
STD: 1.0

Window Type: Hamming
Window Size: 50

Window Type: Nutall
Window Size: 50

Window Type: Parzen
Window Size: 50