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Combine/concatenate/join data in many excel or csv files in the same folder using Python

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#import numpy as np
import pandas as pd
import glob
#### Combine, concatenate, join multiple excel files in a given folder into one dataframe, Each excel files having multiple sheets
#### All sheets in a single Excel file are first combined into a dataframe, then all the Excel Books in the folder
#### Are combined to make a single data frame. The combined data frame is the exported into a single Excel sheet.
#path = r'C:\Users\Tchamna\Downloads\UTRC_DATA\495GowanusSpeedData20152016'
path = r'C:\Users\Tchamna\Downloads\UTRC_DATA\test'
print(filenames)
### Dataframe Initialization
concat_all_sheets_all_files = pd.DataFrame()
for file in filenames:
### Note that the result is given as an Ordered Dictionary File
#print(df)
### Use append command to append/stack the previous concatenated data on top of each other
### as the iteration goes on for every files in the folder
#print(concat_all_sheets)
import pandas as pd
import glob
#### Combine, concatenate, join multiple excel files in a given folder into one dataframe, Each excel files having multiple sheets
#### All sheets in a single Excel file are first combined into a dataframe, then all the Excel Books in the folder
#### Are combined to make a single data frame. The combined data frame is the exported into a single Excel sheet.
#path = r'C:\Users\Tchamna\Downloads\UTRC_DATA\495GowanusSpeedData20152016'
path = r'C:\Users\Tchamna\Downloads\UTRC_DATA\test'
print(filenames)
### Dataframe Initialization
concat_all_sheets_all_files = pd.DataFrame()
for file in filenames:
### Note that the result is given as an Ordered Dictionary File
#print(df)
### Use append command to append/stack the previous concatenated data on top of each other
### as the iteration goes on for every files in the folder
#print(concat_all_sheets)
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