I merged two dataframes but the resulting dataframe is giving back an empty column. How can this be resolved?
print(resampled_fd)
Time power(dB)
0 2021-12-11 10:00:00 46.612
1 2021-12-11 10:02:00 46.902
2 2021-12-11 10:04:00 46.362
3 2021-12-11 10:06:00 47.902
print(df)
Time Z(dB)
0 1900-01-01 10:02:00 NaN
1 1900-01-01 10:04:00 NaN
2 1900-01-01 10:06:00 NaN
3 1900-01-01 10:08:00 NaN
dfc=pd.merge(df, resampled_fd)
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
print(dfc)```
Empty DataFrame
Columns: [Time, Z(dB), power(dB)]
Index: []
Did you mean concatenate
instead of merge
?
If so, you can do:
df1 = pd.DataFrame({'Time': list('abc'), 'power': list('def')})
df2 = pd.DataFrame({'Time': list('ghi'), 'Z': list('jkl')})
pd.concat([df1, df2.rename(columns={'Z': 'power'})], ignore_index=True)
Output:
Time power
0 a d
1 b e
2 c f
3 g j
4 h k
5 i l