On 27/04/18 15:50, zljubi...@gmail.com wrote: > Hi, > > I have pandas DataFrame with several columns. I have to pass all columns as > separate parameter to a function. > > Something like this if I have 4 columns. > > f, p = stats.f_oneway(df_piv.iloc[:, 0], df_piv.iloc[:, 1], df_piv.iloc[:, > 2], df_piv.iloc[:, 3]) > > As number of columns varies, how to do it in the most efficient way?
You could get the DataFrame as a 2d array (df.values) and work from there: func(*df.values.T) Of course, this is completely unreadable, and it has another problem: if your columns have different types, this will cast some or all of your columns to a different type. It's probably clearer if you start with the column labels: func(*(df.loc[:,col] for col in df.columns)) or use df.items(): func(*(values for col, values in df.items())) -- Thomas -- https://mail.python.org/mailman/listinfo/python-list
