Tips on divvying up a dataframe into several different dataframes, using special characters like ' . ' and ' - '

My goal is to divide my data into several different dataframes.

I encountered an issue where Python does not recognize domains like '.com', '.us', '.de', '.in' when trying to do so.

Any suggestions on how to overcome this?

I attempted to convert a groupby object into tuples and then into dictionaries.

d = dict(tuple(df.groupby('Site')))
for i, g in df.groupby('Site'):
    globals()['df_' + str(i)] =  g

print (df_xyz.com)

An error message states:

AttributeError: 'DataFrame' object has no attribute 'xyz'

My objective is to export these multiple dataframes into a workbook with individual sheets for each domain such as xyz.com, xyz.us, xyz.in, etc.

pythonlistdataframedictionarytuples

Answer №1

It appears that the issue could be arising from your attempt to define a variable with '.' in its name, as this is not permitted in Python. I recommend trying the following alternative approach:

d = dict(tuple(df.groupby('Site')))
for i, g in df.groupby('Site'):
    globals()['df_' + str(i).replace('.','_')] =  g

print (df_xyz_com)

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