I extracted multiple dataframes from excel sheet by passing cordinates (start & end) Now i used below funtion to extacr according to cordinates, but when i am trying to convert it into dataframe, no sure from where index are coming in df as columns I wanted to remove these index and make 2nd row as columns, this is my dataframe
0 1 2 3 4 5 6
Cols/Rows A A2 B B2 C C2
0 A 50 50 150 150 200 200
1 B 200 200 250 300 300 300
2 C 350 500 400 400 450 450
def extract_dataframes(sheet):
ws = sheet['pivots']
cordinates = [('A1', 'M8'), ('A10', 'Q17'), ('A19', 'M34'), ('A36', 'Q51')]
multi_dfs_list = []
for i in cordinates:
data_rows = []
for row in ws[i[0]:i[1]]:
data_cols = []
for cell in row:
data_cols.append(cell.value)
data_rows.append(data_cols)
multi_dfs_list.append(data_rows)
multi_dfs = {i: pd.DataFrame(df) for i, df in enumerate(multi_dfs_list)}
return multi_dfs
I tried to delete index but not working. Note: when i say
>>> multi_dfs[0].columns # first dataframe
RangeIndex(start=0, stop=13, step=1)