I have a csv file which looks like this:
Month Day Year Tmax
4 1 1912 56
4 2 1912 56
4 3 1912 74
4 4 1912 82
4 5 1912 79
4 1 1913 73
4 2 1913 60
4 3 1913 67
4 4 1913 81
4 5 1913 77
and I want it to look like this:
Year Month 1 2 3 4 5
1912 4 56 56 74 82 79
1913 4 73 60 67 81 77
So each Day
is now a column header and Tmax
are displayed as columns instead of rows. I have played around with unstacking and transposing but can't seem to quite get it. Any help would be appreciated.
You could use pd.pivot_table()
with index
as ['Year', 'Month']
and columns
as 'Day'
on 'Tmax'
values.
In [10]: pd.pivot_table(df, values='Tmax',
index=['Year', 'Month'],
columns='Day')
Out[10]:
Day 1 2 3 4 5
Year Month
1912 4 56 56 74 82 79
1913 4 73 60 67 81 77
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