[1]: https://eksiup.com/p/og291345b64f #data.df
With R:
spread(weather3,measure,value)
How do we do the same operation in python? I've tried. but I get an error.
weather3.pivot(index=["year","month","day"], columns="measure", values="value")
gives
ValueError Traceback (most recent call last)
<ipython-input-127-95fb6f73325f> in <module>
----> 1 df1.pivot(index=["year","month","day"], columns="measure", values="value")
D:\Program Files\Anaconda3\lib\site-packages\pandas\core\frame.py in pivot(self, index, columns, values)
5917 from pandas.core.reshape.pivot import pivot
5918
-> 5919 return pivot(self, index=index, columns=columns, values=values)
5920
5921 _shared_docs[
D:\Program Files\Anaconda3\lib\site-packages\pandas\core\reshape\pivot.py in pivot(data, index, columns, values)
427 )
428 else:
--> 429 indexed = data._constructor_sliced(data[values].values, index=index)
430 return indexed.unstack(columns)
431
D:\Program Files\Anaconda3\lib\site-packages\pandas\core\series.py in __init__(self, data, index, dtype, name, copy, fastpath)
297 raise ValueError(
298 "Length of passed values is {val}, "
--> 299 "index implies {ind}".format(val=len(data), ind=len(index))
300 )
301 except TypeError:
ValueError: Length of passed values is 8866, index implies 3