Convert minutes into datetime in python
I have a data frame as below
customerid mydate
123 15:11.01
234 42:34.04
234 39:35.01
I have df with mixed timestamps example
customerid mydate
123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01
mydate is a null object and I want to convert it into date time. I used the below
df['mydate'] = pd.to_datetime(df['mydate'], format='%M:%S')
I get the error below
ValueError: unconverted data remains: .0
python python-3.x pandas
add a comment |
I have a data frame as below
customerid mydate
123 15:11.01
234 42:34.04
234 39:35.01
I have df with mixed timestamps example
customerid mydate
123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01
mydate is a null object and I want to convert it into date time. I used the below
df['mydate'] = pd.to_datetime(df['mydate'], format='%M:%S')
I get the error below
ValueError: unconverted data remains: .0
python python-3.x pandas
What isprint (df.columns.tolist())?
– jezrael
Nov 20 at 9:45
2
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38
add a comment |
I have a data frame as below
customerid mydate
123 15:11.01
234 42:34.04
234 39:35.01
I have df with mixed timestamps example
customerid mydate
123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01
mydate is a null object and I want to convert it into date time. I used the below
df['mydate'] = pd.to_datetime(df['mydate'], format='%M:%S')
I get the error below
ValueError: unconverted data remains: .0
python python-3.x pandas
I have a data frame as below
customerid mydate
123 15:11.01
234 42:34.04
234 39:35.01
I have df with mixed timestamps example
customerid mydate
123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01
mydate is a null object and I want to convert it into date time. I used the below
df['mydate'] = pd.to_datetime(df['mydate'], format='%M:%S')
I get the error below
ValueError: unconverted data remains: .0
python python-3.x pandas
python python-3.x pandas
edited Nov 20 at 19:42
asked Nov 20 at 9:43
Ian Okeyo
112
112
What isprint (df.columns.tolist())?
– jezrael
Nov 20 at 9:45
2
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38
add a comment |
What isprint (df.columns.tolist())?
– jezrael
Nov 20 at 9:45
2
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38
What is
print (df.columns.tolist()) ?– jezrael
Nov 20 at 9:45
What is
print (df.columns.tolist()) ?– jezrael
Nov 20 at 9:45
2
2
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38
add a comment |
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What is
print (df.columns.tolist())?– jezrael
Nov 20 at 9:45
2
keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45
@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49
@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07
Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38