I have a script that loads data from MySQL. After that a Pandas DataFrame is built. On it I do apply several apply methods.
When I run the script, without swifter, this is the ouput:
Duration Job0_sql: 0.011724
Duration Job0_df: 146.875376
<class 'pandas.core.frame.DataFrame'>
Int64Index: 3316 entries, 0 to 3315
Data columns (total 57 columns):
id 3316 non-null int64
routerName 3316 non-null object
routerLabel 3306 non-null object
[...]
Meaning that the SQL query lasted 0.011724 seconds. The whole process on the DataFrame, 146.9 seconds. Finally I do print df.info(). It also generates some plots (.jpegs) from the data itself.
After using df.swifter.apply(.) along the code, the output shows something different, and does not move on...
Duration Job0_sql: 0.012964
Pandas Apply: 100%|██████████████████████████| 48516/48516 [00:57<00:00, 845.45it/s]
Pandas Apply: 100%|██████████████████████████| 3316/3316 [00:00<00:00, 4463.01it/s]
I mean, after the swifter I'm not getting neither the time Job0_df nor the processing of the plots: the script just stops there after the progess bars.
Why is it that the code stops there? As per the documentation, we only need to append the swifter keyword bebore the apply method.
Has anyone experienced something like this?