I have a data series,
df,
primary
Buy 484
Sell 429
Blanks 130
FX Spot 108
Income 77
FX Forward 2
trying to crate a dataframe with 2 column. first column values should be the index of df second column should have the values of primary in df
by using,
filter_df=pd.DataFrame({'contents':df.index, 'values':df.values})
I get,
Exception: Data must be 1-dimensional
Use reset_index
with rename_axis
for new column name:
filter_df = df.rename_axis('content').reset_index()
Another solution with rename
:
filter_df = df.reset_index().rename(columns={'index':'content'})
For DataFrame from constructor need df['primary']
for select column
filter_df=pd.DataFrame({'contents':df.index, 'values':df['primary'].values})
print (filter_df)
content primary
0 Buy 484
1 Sell 429
2 Blanks 130
3 FX Spot 108
4 Income 77
5 FX Forward 2