Data Formatting pandas
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I am trying to enter a line of code that creates a row for the index 31'st January 1995. I am unable to get the row to look like 31/01/1995 and instead the output is 1995-01-31 00:00:00 .
My original data in a dataframe called MainData
I am trying to add a row at the top for 31st January 1995 in the same format as the data below.
My code is
MainData.loc[pd.to_datetime('31/01/1995',format='%d/%m/%Y'),:] = [100 for number in range(7)]
MainData
Please let me know if there is a way to reformat this to 31/01/1995.
Thanks in advance.
python pandas datetime
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
|
show 2 more comments
0
I am trying to enter a line of code that creates a row for the index 31'st January 1995. I am unable to get the row to look like 31/01/1995 and instead the output is 1995-01-31 00:00:00 .
My original data in a dataframe called MainData
I am trying to add a row at the top for 31st January 1995 in the same format as the data below.
My code is
MainData.loc[pd.to_datetime('31/01/1995',format='%d/%m/%Y'),:] = [100 for number in range(7)]
MainData
Please let me know if there is a way to reformat this to 31/01/1995.
Thanks in advance.
python pandas datetime
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
I think it's better write a function that convertdatetimetype intostringand then apply it on your column.
– Ali AzG
Nov 22 '18 at 20:35
1
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36
|
show 2 more comments
0
0
0
1
I am trying to enter a line of code that creates a row for the index 31'st January 1995. I am unable to get the row to look like 31/01/1995 and instead the output is 1995-01-31 00:00:00 .
My original data in a dataframe called MainData
I am trying to add a row at the top for 31st January 1995 in the same format as the data below.
My code is
MainData.loc[pd.to_datetime('31/01/1995',format='%d/%m/%Y'),:] = [100 for number in range(7)]
MainData
Please let me know if there is a way to reformat this to 31/01/1995.
Thanks in advance.
python pandas datetime
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
I am trying to enter a line of code that creates a row for the index 31'st January 1995. I am unable to get the row to look like 31/01/1995 and instead the output is 1995-01-31 00:00:00 .
My original data in a dataframe called MainData
I am trying to add a row at the top for 31st January 1995 in the same format as the data below.
My code is
MainData.loc[pd.to_datetime('31/01/1995',format='%d/%m/%Y'),:] = [100 for number in range(7)]
MainData
Please let me know if there is a way to reformat this to 31/01/1995.
Thanks in advance.
python pandas datetime
python pandas datetime
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
edited Nov 22 '18 at 20:39
AnalysisNerd
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
asked Nov 22 '18 at 20:28
AnalysisNerdAnalysisNerd
69111
69111
Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
I think it's better write a function that convertdatetimetype intostringand then apply it on your column.
– Ali AzG
Nov 22 '18 at 20:35
1
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36
|
show 2 more comments
Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
I think it's better write a function that convertdatetimetype intostringand then apply it on your column.
– Ali AzG
Nov 22 '18 at 20:35
1
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36
Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
I think it's better write a function that convert
datetime type into string and then apply it on your column.– Ali AzG
Nov 22 '18 at 20:35
I think it's better write a function that convert
datetime type into string and then apply it on your column.– Ali AzG
Nov 22 '18 at 20:35
1
1
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36
|
show 2 more comments
1 Answer
1
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oldest
votes
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#Making the data look more normal by removing the first column index level
MainData = MainData.rename(columns=MainData.iloc[0])
MainData = MainData.iloc[1:]
#Re-adjusting the Index to a datetime format
MainData['DateAdjusted'] = MainData.index
MainData = MainData.reset_index(drop=True)
MainData['DateAdjusted'] = pd.to_datetime(MainData['DateAdjusted'],dayfirst=True)
#Just renaming the Column and converting the index back to Date
MainData.rename(columns={'DateAdjusted':'Date'},inplace=True)
MainData.index = MainData['Date']
del MainData['Date']
#Defining the date for the row I want to add
InitialDate = "31/01/1995"
format_str = '%d/%m/%Y'
datetime_obj = datetime.datetime.strptime(InitialDate, format_str)
print (datetime_obj.date())
MainData.loc[datetime_obj,:] = [100 for number in range(7)]
MainData = MainData.sort_index(ascending=True)
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
add a comment |
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1 Answer
1
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oldest
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1 Answer
1
active
oldest
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#Making the data look more normal by removing the first column index level
MainData = MainData.rename(columns=MainData.iloc[0])
MainData = MainData.iloc[1:]
#Re-adjusting the Index to a datetime format
MainData['DateAdjusted'] = MainData.index
MainData = MainData.reset_index(drop=True)
MainData['DateAdjusted'] = pd.to_datetime(MainData['DateAdjusted'],dayfirst=True)
#Just renaming the Column and converting the index back to Date
MainData.rename(columns={'DateAdjusted':'Date'},inplace=True)
MainData.index = MainData['Date']
del MainData['Date']
#Defining the date for the row I want to add
InitialDate = "31/01/1995"
format_str = '%d/%m/%Y'
datetime_obj = datetime.datetime.strptime(InitialDate, format_str)
print (datetime_obj.date())
MainData.loc[datetime_obj,:] = [100 for number in range(7)]
MainData = MainData.sort_index(ascending=True)
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
add a comment |
0
#Making the data look more normal by removing the first column index level
MainData = MainData.rename(columns=MainData.iloc[0])
MainData = MainData.iloc[1:]
#Re-adjusting the Index to a datetime format
MainData['DateAdjusted'] = MainData.index
MainData = MainData.reset_index(drop=True)
MainData['DateAdjusted'] = pd.to_datetime(MainData['DateAdjusted'],dayfirst=True)
#Just renaming the Column and converting the index back to Date
MainData.rename(columns={'DateAdjusted':'Date'},inplace=True)
MainData.index = MainData['Date']
del MainData['Date']
#Defining the date for the row I want to add
InitialDate = "31/01/1995"
format_str = '%d/%m/%Y'
datetime_obj = datetime.datetime.strptime(InitialDate, format_str)
print (datetime_obj.date())
MainData.loc[datetime_obj,:] = [100 for number in range(7)]
MainData = MainData.sort_index(ascending=True)
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
add a comment |
0
0
0
#Making the data look more normal by removing the first column index level
MainData = MainData.rename(columns=MainData.iloc[0])
MainData = MainData.iloc[1:]
#Re-adjusting the Index to a datetime format
MainData['DateAdjusted'] = MainData.index
MainData = MainData.reset_index(drop=True)
MainData['DateAdjusted'] = pd.to_datetime(MainData['DateAdjusted'],dayfirst=True)
#Just renaming the Column and converting the index back to Date
MainData.rename(columns={'DateAdjusted':'Date'},inplace=True)
MainData.index = MainData['Date']
del MainData['Date']
#Defining the date for the row I want to add
InitialDate = "31/01/1995"
format_str = '%d/%m/%Y'
datetime_obj = datetime.datetime.strptime(InitialDate, format_str)
print (datetime_obj.date())
MainData.loc[datetime_obj,:] = [100 for number in range(7)]
MainData = MainData.sort_index(ascending=True)
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
#Making the data look more normal by removing the first column index level
MainData = MainData.rename(columns=MainData.iloc[0])
MainData = MainData.iloc[1:]
#Re-adjusting the Index to a datetime format
MainData['DateAdjusted'] = MainData.index
MainData = MainData.reset_index(drop=True)
MainData['DateAdjusted'] = pd.to_datetime(MainData['DateAdjusted'],dayfirst=True)
#Just renaming the Column and converting the index back to Date
MainData.rename(columns={'DateAdjusted':'Date'},inplace=True)
MainData.index = MainData['Date']
del MainData['Date']
#Defining the date for the row I want to add
InitialDate = "31/01/1995"
format_str = '%d/%m/%Y'
datetime_obj = datetime.datetime.strptime(InitialDate, format_str)
print (datetime_obj.date())
MainData.loc[datetime_obj,:] = [100 for number in range(7)]
MainData = MainData.sort_index(ascending=True)
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
answered Nov 22 '18 at 21:50
AnalysisNerdAnalysisNerd
69111
69111
add a comment |
add a comment |
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Yes, I need the index to look like "31/01/1995" and not the way it is in the output. How do I do that?
– AnalysisNerd
Nov 22 '18 at 20:33
I have no idea. Please make an MCVE
– roganjosh
Nov 22 '18 at 20:34
MainData is the main dataframe where I am trying to add a row with "31/01/1995". There is no df.
– AnalysisNerd
Nov 22 '18 at 20:34
I think it's better write a function that convert
datetimetype intostringand then apply it on your column.– Ali AzG
Nov 22 '18 at 20:35
1
Am editing my query to provide further information
– AnalysisNerd
Nov 22 '18 at 20:36