Filtering Pandas column with specific conditions?
I have a pandas dataframe that looks like
Start Time
0 2017-06-23 15:09:32
1 2017-05-25 18:19:03
2 2017-01-04 08:27:49
3 2017-03-06 13:49:38
4 2017-01-17 14:53:07
5 2017-06-26 09:01:20
6 2017-05-26 09:41:44
7 2017-01-21 14:28:38
8 2017-04-20 16:08:51
I want to filter out the ones with month == 06. So it would be the row 1 and 5.
I know how to filter it out for column that has only few categories, but in this case, if it's a date, I need to parse the date and check the month. But I am not sure how to do it with pandas. Please help.
pandas
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
add a comment |
I have a pandas dataframe that looks like
Start Time
0 2017-06-23 15:09:32
1 2017-05-25 18:19:03
2 2017-01-04 08:27:49
3 2017-03-06 13:49:38
4 2017-01-17 14:53:07
5 2017-06-26 09:01:20
6 2017-05-26 09:41:44
7 2017-01-21 14:28:38
8 2017-04-20 16:08:51
I want to filter out the ones with month == 06. So it would be the row 1 and 5.
I know how to filter it out for column that has only few categories, but in this case, if it's a date, I need to parse the date and check the month. But I am not sure how to do it with pandas. Please help.
pandas
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
add a comment |
I have a pandas dataframe that looks like
Start Time
0 2017-06-23 15:09:32
1 2017-05-25 18:19:03
2 2017-01-04 08:27:49
3 2017-03-06 13:49:38
4 2017-01-17 14:53:07
5 2017-06-26 09:01:20
6 2017-05-26 09:41:44
7 2017-01-21 14:28:38
8 2017-04-20 16:08:51
I want to filter out the ones with month == 06. So it would be the row 1 and 5.
I know how to filter it out for column that has only few categories, but in this case, if it's a date, I need to parse the date and check the month. But I am not sure how to do it with pandas. Please help.
pandas
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
I have a pandas dataframe that looks like
Start Time
0 2017-06-23 15:09:32
1 2017-05-25 18:19:03
2 2017-01-04 08:27:49
3 2017-03-06 13:49:38
4 2017-01-17 14:53:07
5 2017-06-26 09:01:20
6 2017-05-26 09:41:44
7 2017-01-21 14:28:38
8 2017-04-20 16:08:51
I want to filter out the ones with month == 06. So it would be the row 1 and 5.
I know how to filter it out for column that has only few categories, but in this case, if it's a date, I need to parse the date and check the month. But I am not sure how to do it with pandas. Please help.
pandas
pandas
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
asked Nov 15 '18 at 2:32
Dawn17Dawn17
838418
838418
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Using
#df['Start Time']=pd.to_datetime(df['Start Time'])
df1=df[df['Start Time'].dt.month==6].copy()
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
Can only use .dt accessor with datetimelike valuesGetting this error. I assume the datas are in string.
– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Using
#df['Start Time']=pd.to_datetime(df['Start Time'])
df1=df[df['Start Time'].dt.month==6].copy()
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
Can only use .dt accessor with datetimelike valuesGetting this error. I assume the datas are in string.
– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
add a comment |
Using
#df['Start Time']=pd.to_datetime(df['Start Time'])
df1=df[df['Start Time'].dt.month==6].copy()
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
Can only use .dt accessor with datetimelike valuesGetting this error. I assume the datas are in string.
– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
add a comment |
Using
#df['Start Time']=pd.to_datetime(df['Start Time'])
df1=df[df['Start Time'].dt.month==6].copy()
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
Using
#df['Start Time']=pd.to_datetime(df['Start Time'])
df1=df[df['Start Time'].dt.month==6].copy()
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
answered Nov 15 '18 at 2:34
Wen-BenWen-Ben
114k83369
114k83369
Can only use .dt accessor with datetimelike valuesGetting this error. I assume the datas are in string.
– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
add a comment |
Can only use .dt accessor with datetimelike valuesGetting this error. I assume the datas are in string.
– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
Can only use .dt accessor with datetimelike values Getting this error. I assume the datas are in string.– Dawn17
Nov 15 '18 at 2:38
Can only use .dt accessor with datetimelike values Getting this error. I assume the datas are in string.– Dawn17
Nov 15 '18 at 2:38
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
@Dawn17 try run my marked line
– Wen-Ben
Nov 15 '18 at 2:42
add a comment |
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