not keeping the dates when creating a dataframe pandas
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1
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I am merging multiple xlsx files using pd.concat(). I have 7 date columns with custom formatting in excel file. When I concatenate the files, instead of keeping the original dates, all dates change to today's date. I would appreciate your help. Columns, contains dates are given by indices.
Here is the code I am using:
import csv
import glob
import sys
import pandas as pd
import os
os.chdir(r"path")
all_files = glob.glob(os.path.join(path, "*.xlsx"))
header=['header names']
df = (pd.read_excel(f, sheet_name=0, skiprows=2, usecols='A:DN', sort=False,
header=None, names=header, infer_datetime_format=False,
format='%m/%d/%Y', parse_dates=[0,1,2,3,4,5,6,28],
start='01/01/1987', end='01/01/2019',
converters={'Initial Warrant Call Date':'datetime64[ns]',
'Trade Date':'datetime64[ns]',
'Overallotment Exercise Date':'datetime64[ns]',
'Filing Date':'datetime64[ns]',
'Issue Date':'datetime64[ns]',
'Date Filing Amended':'datetime64[ns]',
'Date Founded':'datetime64[ns]'})
for f in all_files)
concatenated_df = pd.concat(df, ignore_index=True)
concatenated_df.to_csv('merged_ipo.csv', encoding='utf-8', index=False)
Output: a snapshot of the concatenated df.
python pandas date date-format custom-data-type
edited Nov 20 at 17:40
jtweeder
33418
asked Nov 20 at 16:04
Ani
61
add a comment |
up vote
1
down vote
favorite
I am merging multiple xlsx files using pd.concat(). I have 7 date columns with custom formatting in excel file. When I concatenate the files, instead of keeping the original dates, all dates change to today's date. I would appreciate your help. Columns, contains dates are given by indices.
Here is the code I am using:
import csv
import glob
import sys
import pandas as pd
import os
os.chdir(r"path")
all_files = glob.glob(os.path.join(path, "*.xlsx"))
header=['header names']
df = (pd.read_excel(f, sheet_name=0, skiprows=2, usecols='A:DN', sort=False,
header=None, names=header, infer_datetime_format=False,
format='%m/%d/%Y', parse_dates=[0,1,2,3,4,5,6,28],
start='01/01/1987', end='01/01/2019',
converters={'Initial Warrant Call Date':'datetime64[ns]',
'Trade Date':'datetime64[ns]',
'Overallotment Exercise Date':'datetime64[ns]',
'Filing Date':'datetime64[ns]',
'Issue Date':'datetime64[ns]',
'Date Filing Amended':'datetime64[ns]',
'Date Founded':'datetime64[ns]'})
for f in all_files)
concatenated_df = pd.concat(df, ignore_index=True)
concatenated_df.to_csv('merged_ipo.csv', encoding='utf-8', index=False)
Output: a snapshot of the concatenated df.
python pandas date date-format custom-data-type
edited Nov 20 at 17:40
jtweeder
33418
asked Nov 20 at 16:04
Ani
61
2
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
1
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I am merging multiple xlsx files using pd.concat(). I have 7 date columns with custom formatting in excel file. When I concatenate the files, instead of keeping the original dates, all dates change to today's date. I would appreciate your help. Columns, contains dates are given by indices.
Here is the code I am using:
import csv
import glob
import sys
import pandas as pd
import os
os.chdir(r"path")
all_files = glob.glob(os.path.join(path, "*.xlsx"))
header=['header names']
df = (pd.read_excel(f, sheet_name=0, skiprows=2, usecols='A:DN', sort=False,
header=None, names=header, infer_datetime_format=False,
format='%m/%d/%Y', parse_dates=[0,1,2,3,4,5,6,28],
start='01/01/1987', end='01/01/2019',
converters={'Initial Warrant Call Date':'datetime64[ns]',
'Trade Date':'datetime64[ns]',
'Overallotment Exercise Date':'datetime64[ns]',
'Filing Date':'datetime64[ns]',
'Issue Date':'datetime64[ns]',
'Date Filing Amended':'datetime64[ns]',
'Date Founded':'datetime64[ns]'})
for f in all_files)
concatenated_df = pd.concat(df, ignore_index=True)
concatenated_df.to_csv('merged_ipo.csv', encoding='utf-8', index=False)
Output: a snapshot of the concatenated df.
python pandas date date-format custom-data-type
edited Nov 20 at 17:40
jtweeder
33418
asked Nov 20 at 16:04
Ani
61
I am merging multiple xlsx files using pd.concat(). I have 7 date columns with custom formatting in excel file. When I concatenate the files, instead of keeping the original dates, all dates change to today's date. I would appreciate your help. Columns, contains dates are given by indices.
Here is the code I am using:
import csv
import glob
import sys
import pandas as pd
import os
os.chdir(r"path")
all_files = glob.glob(os.path.join(path, "*.xlsx"))
header=['header names']
df = (pd.read_excel(f, sheet_name=0, skiprows=2, usecols='A:DN', sort=False,
header=None, names=header, infer_datetime_format=False,
format='%m/%d/%Y', parse_dates=[0,1,2,3,4,5,6,28],
start='01/01/1987', end='01/01/2019',
converters={'Initial Warrant Call Date':'datetime64[ns]',
'Trade Date':'datetime64[ns]',
'Overallotment Exercise Date':'datetime64[ns]',
'Filing Date':'datetime64[ns]',
'Issue Date':'datetime64[ns]',
'Date Filing Amended':'datetime64[ns]',
'Date Founded':'datetime64[ns]'})
for f in all_files)
concatenated_df = pd.concat(df, ignore_index=True)
concatenated_df.to_csv('merged_ipo.csv', encoding='utf-8', index=False)
Output: a snapshot of the concatenated df.
python pandas date date-format custom-data-type
python pandas date date-format custom-data-type
edited Nov 20 at 17:40
jtweeder
33418
asked Nov 20 at 16:04
Ani
61
edited Nov 20 at 17:40
jtweeder
33418
asked Nov 20 at 16:04
Ani
61
edited Nov 20 at 17:40
jtweeder
33418
edited Nov 20 at 17:40
jtweeder
33418
edited Nov 20 at 17:40
jtweeder
33418
33418
asked Nov 20 at 16:04
Ani
61
asked Nov 20 at 16:04
Ani
61
asked Nov 20 at 16:04
Ani
61
61
2
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
1
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24
add a comment |
2
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
1
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24
2
2
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
1
1
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24
add a comment |
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2
break down your pd.read_excel statement, the code is not easy to read and make sure you're indenting properly.
– Ken Dekalb
Nov 20 at 16:18
1
Hi Ani, welcome on SO. I hope you're going to find an answer for your question. It is a good idea to read something about How to ask and produce a mcve mcve2
– user32185
Nov 20 at 16:24