I\'m trying to get week on a month, some months might have four weeks some might have five. For each date i would like to know to which week does it belongs to. I\'m mostly
I've used the code below when dealing with dataframes that have a datetime index.
import pandas as pd
import math
def add_week_of_month(df):
df['week_in_month'] = pd.to_numeric(df.index.day/7)
df['week_in_month'] = df['week_in_month'].apply(lambda x: math.ceil(x))
return df
If you run this example:
df = test = pd.DataFrame({'count':['a','b','c','d','e']},
index = ['2018-01-01', '2018-01-08','2018-01-31','2018-02-01','2018-02-28'])
df.index = pd.to_datetime(df.index)
you should get the following dataframe
count week_in_month
2018-01-01 a 1
2018-01-08 b 2
2018-01-31 c 5
2018-02-01 d 1
2018-02-28 e 4