Sorting Python data frame according to dates
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How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.
python pandas dataframe
edited Nov 11 at 20:52
Adam Chubbuck
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
add a comment |
up vote
0
down vote
favorite
1
How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.
python pandas dataframe
edited Nov 11 at 20:52
Adam Chubbuck
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
1
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54
add a comment |
up vote
0
down vote
favorite
1
up vote
0
down vote
favorite
1
1
How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.
python pandas dataframe
edited Nov 11 at 20:52
Adam Chubbuck
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.
python pandas dataframe
python pandas dataframe
edited Nov 11 at 20:52
Adam Chubbuck
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
edited Nov 11 at 20:52
Adam Chubbuck
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
edited Nov 11 at 20:52
Adam Chubbuck
810217
edited Nov 11 at 20:52
Adam Chubbuck
810217
edited Nov 11 at 20:52
Adam Chubbuck
810217
810217
asked Nov 11 at 20:50
Ewa Szyszka
14
asked Nov 11 at 20:50
Ewa Szyszka
14
asked Nov 11 at 20:50
Ewa Szyszka
14
14
1
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54
add a comment |
1
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54
1
1
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54
add a comment |
2 Answers
2
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1
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import pandas as pd
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
'Date':['05/01/2015','05/01/2017','06/01/2017']})
df['Date'] =pd.to_datetime(df.Date)
df.sort_values('Date', inplace=True)
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
Might as well use:df.sort_values('Date', inplace=True)here...
– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
add a comment |
up vote
1
down vote
You just need to convert your Date column to a datetime, then you can sort the dataframe by that column
import pandas as pd
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
'Amount': [2,5,6,3,2]})
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
df = df.sort_values('Date').reset_index(drop=True)
Which gives:
Date Amount
0 2016-05-01 2
1 2017-01-01 3
2 2017-02-01 2
3 2017-05-01 5
4 2017-06-01 6
answered Nov 11 at 20:57
Simon
4,19193072
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
import pandas as pd
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
'Date':['05/01/2015','05/01/2017','06/01/2017']})
df['Date'] =pd.to_datetime(df.Date)
df.sort_values('Date', inplace=True)
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
Might as well use:df.sort_values('Date', inplace=True)here...
– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
add a comment |
up vote
1
down vote
import pandas as pd
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
'Date':['05/01/2015','05/01/2017','06/01/2017']})
df['Date'] =pd.to_datetime(df.Date)
df.sort_values('Date', inplace=True)
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
Might as well use:df.sort_values('Date', inplace=True)here...
– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
add a comment |
up vote
1
down vote
up vote
1
down vote
import pandas as pd
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
'Date':['05/01/2015','05/01/2017','06/01/2017']})
df['Date'] =pd.to_datetime(df.Date)
df.sort_values('Date', inplace=True)
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
import pandas as pd
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
'Date':['05/01/2015','05/01/2017','06/01/2017']})
df['Date'] =pd.to_datetime(df.Date)
df.sort_values('Date', inplace=True)
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
edited Nov 11 at 21:05
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
answered Nov 11 at 20:57
Keerthana Gopalakrishnan
47769
47769
Might as well use:df.sort_values('Date', inplace=True)here...
– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
add a comment |
Might as well use:df.sort_values('Date', inplace=True)here...
– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
Might as well use:
df.sort_values('Date', inplace=True) here...– Jon Clements♦
Nov 11 at 21:04
Might as well use:
df.sort_values('Date', inplace=True) here...– Jon Clements♦
Nov 11 at 21:04
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
updated the code :)
– Keerthana Gopalakrishnan
Nov 11 at 21:06
add a comment |
up vote
1
down vote
You just need to convert your Date column to a datetime, then you can sort the dataframe by that column
import pandas as pd
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
'Amount': [2,5,6,3,2]})
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
df = df.sort_values('Date').reset_index(drop=True)
Which gives:
Date Amount
0 2016-05-01 2
1 2017-01-01 3
2 2017-02-01 2
3 2017-05-01 5
4 2017-06-01 6
answered Nov 11 at 20:57
Simon
4,19193072
add a comment |
up vote
1
down vote
You just need to convert your Date column to a datetime, then you can sort the dataframe by that column
import pandas as pd
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
'Amount': [2,5,6,3,2]})
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
df = df.sort_values('Date').reset_index(drop=True)
Which gives:
Date Amount
0 2016-05-01 2
1 2017-01-01 3
2 2017-02-01 2
3 2017-05-01 5
4 2017-06-01 6
answered Nov 11 at 20:57
Simon
4,19193072
add a comment |
up vote
1
down vote
up vote
1
down vote
You just need to convert your Date column to a datetime, then you can sort the dataframe by that column
import pandas as pd
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
'Amount': [2,5,6,3,2]})
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
df = df.sort_values('Date').reset_index(drop=True)
Which gives:
Date Amount
0 2016-05-01 2
1 2017-01-01 3
2 2017-02-01 2
3 2017-05-01 5
4 2017-06-01 6
answered Nov 11 at 20:57
Simon
4,19193072
You just need to convert your Date column to a datetime, then you can sort the dataframe by that column
import pandas as pd
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
'Amount': [2,5,6,3,2]})
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
df = df.sort_values('Date').reset_index(drop=True)
Which gives:
Date Amount
0 2016-05-01 2
1 2017-01-01 3
2 2017-02-01 2
3 2017-05-01 5
4 2017-06-01 6
answered Nov 11 at 20:57
Simon
4,19193072
edited Nov 11 at 21:07
answered Nov 11 at 20:57
Simon
4,19193072
answered Nov 11 at 20:57
Simon
4,19193072
answered Nov 11 at 20:57
Simon
4,19193072
4,19193072
add a comment |
add a comment |
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1
Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54