meteostat-python
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Missing Data Frame Values
Daily snow data for KERI (72526) has some gaps in January 2018. However, these gaps are not NaN
therefore the interpolate
function does not close the gap. Here is a snippet of the data frame:
time,tavg,tmin,tmax,prcp,snow,wdir,wspd,wpgt,pres,tsun
2017-12-28,13.8,10.2,16.2,0.0,20.984,,5.8,,,
2017-12-29,12.7,8.2,19.2,0.272,20.0,,9.6,,,
2017-12-30,16.2,13.1,19.2,0.681,22.992,249.0,13.2,,,
2017-12-31,13.1,11.1,15.3,0.0,25.0,,7.8,,1029.6,
2018-01-01,14.2,12.2,15.3,0.02,,288.0,14.3,,,
2018-01-02,12.9,7.2,16.2,0.051,,216.0,16.3,,,
2018-01-03,11.7,5.2,21.2,0.012,,201.0,13.0,,,
2018-01-04,16.5,7.2,20.1,0.299,,,13.4,,,
2018-01-05,7.7,5.2,8.2,0.031,,294.0,13.4,,,
2018-01-06,6.6,5.2,9.1,0.0,,278.0,10.1,,,
2018-01-07,8.1,-0.8,29.1,0.0,,181.0,15.2,,1029.1,
2018-01-08,31.3,29.1,35.1,0.252,,211.0,16.1,,,
2018-01-09,32.2,23.2,34.0,0.0,,,8.5,,,
2018-01-10,32.5,24.3,48.0,0.0,,,15.9,,,
2018-01-11,50.9,46.9,61.0,0.091,0.0,170.0,19.7,,1015.3,
2018-01-12,48.0,18.1,57.9,0.831,0.0,292.0,13.4,,,
2018-01-13,16.7,13.1,18.1,0.031,3.937,,12.6,,,
2018-01-14,14.5,5.2,20.1,0.0,3.937,,4.7,,1038.4,
2018-01-15,14.2,10.2,25.2,0.051,3.15,,10.5,,,