34. Pandas Interpolate | Interpolate function in pandas Handling Missing Values Using Pandas Part 7

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Parameters :
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method : {‘linear’, ‘time’, ‘index’, ‘values’, ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’, ‘barycentric’, ‘krogh’, ‘polynomial’, ‘spline’, ‘piecewise_polynomial’, ‘from_derivatives’, ‘pchip’, ‘akima’}
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axis :
{{0 or 'index', 1 or 'columns', None}}, default None
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limit : Maximum number of consecutive NaNs to fill. Must be greater than 0.
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limit_direction : {‘forward’, ‘backward’, ‘both’}, default ‘forward’
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limit_area : None (default) no fill restriction.

inside : Only fill NaNs surrounded by valid values (interpolate).

outside : Only fill NaNs outside valid values (extrapolate).

If limit is specified, consecutive NaNs will be filled in this direction.
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inplace
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[terryterry]

its really sad to see no one watched this wonderful session.. i will pass this to my friends ...thanks priyang

[nimaasadi]

this is one of the few videos elaborating pandas interpolate function. thumbs up!

[apoorvabhoine]

I was in the middle of a hackathon, this video saved a ton of time. Thanks alot! ✨💥❤️

[nikhil_somani]

Some of the datasets (like for this video )are not available on your git, please add them up.

[bennguyen]

Any suggestions on how to fix a List that has consecutive NaNs?

For example, I use read_csv from pandas, and convert to a list:
Y3List =

Because each column in the csv file gets updated only after all other columns are updated,

"Time", "Y1", "Y2", "Y3", "Y4", "Y5", "Y6", "Y7", "Y8", "Y9", "Y10", "Y11", "Y12", "Y13"
"2.730", "", "", "27.598", "", "", "", "", "", "", "", "", "", ""
"3.116", "", "", "", "1.14", "", "", "", "", "", "", "", "", ""
"3.624", "", "", "", "", "0.025", "", "", "", "", "", "", "", ""
"4.127", "", "", "", "", "", "13.786", "", "", "", "", "", "", ""
"4.631", "", "", "", "", "", "", "0.019", "", "", "", "", "", ""
etc

There are many NaNs between updates, which causes .interpolate() not to work (the resulting List still has NaNs). Any suggestions?

[yaseressa]

It seems you only know read_csv method