概述
Create a day-of-week column in a Pandas dataframe using Python
I’d like to read a csv file into a pandas dataframe, parse a column of dates from string format to a date object, and then generate a new column that indicates the day of the week.
This is what I’m trying:
What I’d like to do is something like:
import pandas as pd
import csv
df = pd.read_csv('data.csv', parse_dates=['date']))
df['day-of-week'] = df['date'].weekday()
AttributeError: 'Series' object has no attribute 'weekday'
Thank you for your help.
James
解决方案
EDIT:
As user jezrael points out below, dt.weekday_name was added in version 0.18.1
Pandas Docs
import pandas as pd
df = pd.DataFrame({'my_dates':['2015-01-01','2015-01-02','2015-01-03'],'myvals':[1,2,3]})
df['my_dates'] = pd.to_datetime(df['my_dates'])
df['day_of_week'] = df['my_dates'].dt.weekday_name
Output:
my_dates myvals day_of_week
0 2015-01-01 1 Thursday
1 2015-01-02 2 Friday
2 2015-01-03 3 Saturday
Original Answer:
Use this:
See this:
If you want a string instead of an integer do something like this:
import pandas as pd
df = pd.DataFrame({'my_dates':['2015-01-01','2015-01-02','2015-01-03'],'myvals':[1,2,3]})
df['my_dates'] = pd.to_datetime(df['my_dates'])
df['day_of_week'] = df['my_dates'].dt.dayofweek
days = {0:'Mon',1:'Tues',2:'Weds',3:'Thurs',4:'Fri',5:'Sat',6:'Sun'}
df['day_of_week'] = df['day_of_week'].apply(lambda x: days[x])
Output:
my_dates myvals day_of_week
0 2015-01-01 1 Thurs
1 2015-01-02 2 Fri
2 2015-01-01 3 Thurs
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