This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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]) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# 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')] | |