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.
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| Window Type: None Window Size: 1 |
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| Window Type: None Window Size: 50 |
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| Window Type: Bartlett Window Size: 50 |
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| Window Type: Barthann Window Size: 50 |
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| Window Type: Blackman Window Size: 50 |
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| Window Type: BlackmanHarris Window Size: 50 |
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| Window Type: Bohman Window Size: 50 |
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| Window Type: Boxcar Window Size: 50 |
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| Window Type: Gaussian Window Size: 50 STD: 0.1 |
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| Window Type: Gaussian Window Size: 50 STD: 1.0 |
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| Window Type: Hamming Window Size: 50 |
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| Window Type: Nutall Window Size: 50 |
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| Window Type: Parzen Window Size: 50 |
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