Reputation: 529
I have a dataframe,df containing
Index Date & Time eventName eventCount
0 2017-08-09 ABC 24
1 2017-08-09 CDE 140
2 2017-08-10 CDE 150
3 2017-08-11 DEF 200
4 2017-08-11 ABC 20
5 2017-08-16 CDE 10
6 2017-08-16 ABC 15
7 2017-08-17 CDE 10
8 2017-08-17 DEF 50
9 2017-08-18 DEF 80
...
I want to sum the eventCount for each weekly day occurrences and plot for the total events for each weekly day(from MON to SUN) i.e. for example: Summation of the eventCount values of:
2017-08-09 and 2017-08-16(Mondays)=189
2017-08-10 and 2017-08-17(Tuesdays)=210
2017-08-16 and 2017-08-23(Wednesdays)=300
I have tried
dailyOccurenceSum=df['eventCount'].groupby(lambda x: x.weekday).sum()
and I get this error:AttributeError: 'int' object has no attribute 'weekday'
Upvotes: 1
Views: 336
Reputation: 402333
Starting with df
-
df
Index Date & Time eventName eventCount
0 0 2017-08-09 ABC 24
1 1 2017-08-09 CDE 140
2 2 2017-08-10 CDE 150
3 3 2017-08-11 DEF 200
4 4 2017-08-11 ABC 20
5 5 2017-08-16 CDE 10
6 6 2017-08-16 ABC 15
7 7 2017-08-17 CDE 10
8 8 2017-08-17 DEF 50
9 9 2017-08-18 DEF 80
First, convert Date & Time
to a datetime
column -
df['Date & Time'] = pd.to_datetime(df['Date & Time'])
Next, call groupby
+ sum
on the weekday name.
df = df.groupby(df['Date & Time'].dt.weekday_name)['eventCount'].sum()
df
Date & Time
Friday 300
Thursday 210
Wednesday 189
Name: eventCount, dtype: int64
If you want to sort by weekday, convert the index to categorical and call sort_index
-
cat = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday', 'Sunday']
df.index = pd.Categorical(df.index, categories=cat, ordered=True)
df = df.sort_index()
df
Wednesday 189
Thursday 210
Friday 300
Name: eventCount, dtype: int64
Upvotes: 1