Data format confusion after changing version of Python
I have just moved from using Python 2.7.8 to 3.4.5 In the 2.7.8 version the following line of code run without issue and now using the 3.4.5 I get the exception :
AttributeError: 'Series' object has no attribute 'dt'
The line is:
DeptTemplate['Status change date'].dt.strftime('%d/%m/%Y')
Where I am reformatting the data-frame column 'Status change date' to a date format
The only thing I have changed is the version of Python so I am assuming this is the issue.
I've tried to research the fix but am confused as to what I need to change.
python pandas
edited Nov 20 '18 at 23:06
halfer
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
add a comment |
I have just moved from using Python 2.7.8 to 3.4.5 In the 2.7.8 version the following line of code run without issue and now using the 3.4.5 I get the exception :
AttributeError: 'Series' object has no attribute 'dt'
The line is:
DeptTemplate['Status change date'].dt.strftime('%d/%m/%Y')
Where I am reformatting the data-frame column 'Status change date' to a date format
The only thing I have changed is the version of Python so I am assuming this is the issue.
I've tried to research the fix but am confused as to what I need to change.
python pandas
edited Nov 20 '18 at 23:06
halfer
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05
add a comment |
I have just moved from using Python 2.7.8 to 3.4.5 In the 2.7.8 version the following line of code run without issue and now using the 3.4.5 I get the exception :
AttributeError: 'Series' object has no attribute 'dt'
The line is:
DeptTemplate['Status change date'].dt.strftime('%d/%m/%Y')
Where I am reformatting the data-frame column 'Status change date' to a date format
The only thing I have changed is the version of Python so I am assuming this is the issue.
I've tried to research the fix but am confused as to what I need to change.
python pandas
edited Nov 20 '18 at 23:06
halfer
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
I have just moved from using Python 2.7.8 to 3.4.5 In the 2.7.8 version the following line of code run without issue and now using the 3.4.5 I get the exception :
AttributeError: 'Series' object has no attribute 'dt'
The line is:
DeptTemplate['Status change date'].dt.strftime('%d/%m/%Y')
Where I am reformatting the data-frame column 'Status change date' to a date format
The only thing I have changed is the version of Python so I am assuming this is the issue.
I've tried to research the fix but am confused as to what I need to change.
python pandas
python pandas
edited Nov 20 '18 at 23:06
halfer
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
edited Nov 20 '18 at 23:06
halfer
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
edited Nov 20 '18 at 23:06
halfer
14.5k758111
edited Nov 20 '18 at 23:06
halfer
14.5k758111
edited Nov 20 '18 at 23:06
halfer
14.5k758111
14.5k758111
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
asked Nov 19 '18 at 15:44
StaceyStacey
1,08051940
1,08051940
what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05
add a comment |
what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05
what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05
add a comment |
1 Answer
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I agree with the comments above, the version of Python shouldn't make a difference here. The dt method is only available on datetime series. So the columns 'Status change date' should already be a datetime before you use this method.
.dt.strftime does not convert a column to a datetime format. Rather it converts a datetime column to a string representation of a datetime
answered Nov 19 '18 at 15:58
RobertRobert
33429
add a comment |
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1 Answer
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I agree with the comments above, the version of Python shouldn't make a difference here. The dt method is only available on datetime series. So the columns 'Status change date' should already be a datetime before you use this method.
.dt.strftime does not convert a column to a datetime format. Rather it converts a datetime column to a string representation of a datetime
answered Nov 19 '18 at 15:58
RobertRobert
33429
add a comment |
I agree with the comments above, the version of Python shouldn't make a difference here. The dt method is only available on datetime series. So the columns 'Status change date' should already be a datetime before you use this method.
.dt.strftime does not convert a column to a datetime format. Rather it converts a datetime column to a string representation of a datetime
answered Nov 19 '18 at 15:58
RobertRobert
33429
add a comment |
I agree with the comments above, the version of Python shouldn't make a difference here. The dt method is only available on datetime series. So the columns 'Status change date' should already be a datetime before you use this method.
.dt.strftime does not convert a column to a datetime format. Rather it converts a datetime column to a string representation of a datetime
answered Nov 19 '18 at 15:58
RobertRobert
33429
I agree with the comments above, the version of Python shouldn't make a difference here. The dt method is only available on datetime series. So the columns 'Status change date' should already be a datetime before you use this method.
.dt.strftime does not convert a column to a datetime format. Rather it converts a datetime column to a string representation of a datetime
answered Nov 19 '18 at 15:58
RobertRobert
33429
answered Nov 19 '18 at 15:58
RobertRobert
33429
answered Nov 19 '18 at 15:58
RobertRobert
33429
answered Nov 19 '18 at 15:58
RobertRobert
33429
33429
add a comment |
add a comment |
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what version of pandas are you using?
– Chris
Nov 19 '18 at 15:48
Mmm, this doesn't make sense. If anything, it's a pandas issue. What is the name of your script btw? I can't think of a pandas version where this behaviour changed, it seems there's something external causing this issue
– roganjosh
Nov 19 '18 at 15:48
Thanks. I think you might be right version of pandas I'm using with 2.7.8 is 0.19.2 and the version of pandas I'm using with 3.4.5 is 0.14.1. Is there a way to upgrade my pandas version using conda?
– Stacey
Nov 19 '18 at 15:56
@Stacey it certainly is the version of pandas...you can do conda update
– Chris
Nov 19 '18 at 15:58
how have you ended up with 0.14 version? It sounds like some dependency has trashed your installation on python 3. Thats way old! :) conda should not install that version.
– roganjosh
Nov 19 '18 at 16:05