So, this is probably a really simple problem, but I've not found a solution yet. I apologize for my stupidity. (I'm guessing my ignorance of terminology has impeded my searching here)
I have a dictionary of dataframes (showing 2 in here, but it contains more).
df_dict={'P1': df0,'P2': df1}
Each dataframe may or may not have rows that I need to remove for further processing. I can easily remove these rows from one dataframe like so:
df0=df_dict['P1']
df0=df0[df0.well !='1']
But if I loop through the dictionary like this, nothing happens. The unwanted rows are still in the dataframes.
for key,df in df_dict.items():
df=df[df.well !='1']
I stupidly plunked inplace=True
into the .loc
and obviously that didn't work.
Side note, I can't do df[~df.well.str.contains('1')]
because this would remove rows that have correct positions like 'A01'
Again, I'm probably doing something very ignorant, and am very grateful for your help!