Group By and ILOC Errors
Question:
I’m getting the following error when trying to groupby and sum by dataframe by specific columns.
ValueError: Grouper for '<class 'pandas.core.frame.DataFrame'>' not 1-dimensional
I’ve checked other solutions and it’s not a double column name header issue.
See df3 below which I want to group by on all columns except last two, I want to sum()
dfs head shows that if I just group by the columns names it works fine but not with iloc which I know to be the correct formula to pull back column I want to group by.
I need to use ILOC as final dataframe will have many more columns.
Answers:
df.iloc[:,0:3] returns a dataframe. So you are trying to group dataframe with another dataframe.
But you just need a column list.
can you try this:
dfs = df3.groupby(list(df3.iloc[:,0:3].columns))['Churn_Alive_1','Churn_Alive_0'].sum()
I’m getting the following error when trying to groupby and sum by dataframe by specific columns.
ValueError: Grouper for '<class 'pandas.core.frame.DataFrame'>' not 1-dimensional
I’ve checked other solutions and it’s not a double column name header issue.
See df3 below which I want to group by on all columns except last two, I want to sum()
dfs head shows that if I just group by the columns names it works fine but not with iloc which I know to be the correct formula to pull back column I want to group by.
I need to use ILOC as final dataframe will have many more columns.
df.iloc[:,0:3] returns a dataframe. So you are trying to group dataframe with another dataframe.
But you just need a column list.
can you try this:
dfs = df3.groupby(list(df3.iloc[:,0:3].columns))['Churn_Alive_1','Churn_Alive_0'].sum()