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# for DateTimeIndexed DataFrames | |
for name, group in df.groupby([lambda x: x.date(), 'Some Feature']): | |
# within groupby object | |
# for dropping duplicate indices (sometimes a problem with DateTimeIndices) | |
group=group[~group.index.duplicated(keep = 'first')] | |
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def col_to_int(col): | |
"""Converts excel COL to INT (zero indexed)""" | |
if len(col) == 1: | |
return ord(col.upper()) - ord('A') | |
if len(col) == 2: | |
n_alphabet = 26 | |
return (col_to_int(col[0])+1)*n_alphabet+col_to_int(col[1]) |