I have a folder with lots of file like AA.csv, BB.csv, CC.csv, each file has these columns
'TimeStamp', 'Status', 'SQ'
I want to read each file then merge the results into one dataframe, merged on TimeFrame.
| TimeStamp | AA_Status | AA_SQ | BB_Status | BB_SQ | CC_Status | CC_SQ |
|---|---|---|---|---|---|---|
| 20220101 | 0 | 1 | 1 | 1 | 1 | 1 |
| 20220102 | 1 | 0 | 1 | 1 | 0 | 0 |
base = r"C:\Users\GD\Documents\dal"
for files in os.listdir(base):
if re.search('\.csv',files):
df = pd.read_csv(base+ '/' +files, index_col=False)
name = files[:-4]
df.columns = ['TimeStamp',f'{name}_Status',f'{name}_SQ']
I am trying the following code but dont know how to proceed with the merge