I have this table which i export to CSV Using this code:

df['time'] = df['time'].astype("datetime64").dt.date
df = df.set_index("time")
df = df.groupby(df.index).agg(['min', 'max', 'mean'])
df = df.reset_index()
df = df.to_csv(r'C:\****\Exports\exportMMA.csv', index=False)

While exporting this, my result is:

I want to get rid of column 1,2,3 and replace the header with BufFT2 and BufFT3

Tried this :

new_header = df.iloc[0] #grab the first row for the header
df = df[1:] #take the data less the header row
df.columns = new_header #set the header row as the df header

And This :

df.columns = df.iloc[0]
df = df[1:]

Somehow it wont work, I not realy in need to replace the headers in the dataframe having the right headers in csv is more important.

Thanks!

CodePudding user response：

You can try rename:

df = df.rename(columns=df.iloc[0]).drop(df.index[0])

CodePudding user response：

when loading the input file you can specify which row to use as the header

pd.read_csv(inputfile,header=1)  # this will use the 2nd row in the file as column titles