How to sort a pandas dataframe column by item type?

Question

I have the following column in my Dataframe:

import pandas as pd
x = pd. Series(['R1', 'R2', 70, -100, 0, -25, 'R7', 'R8'])
df = pd.DataFrame(x)

I want to sort the column such that the output is:

['R1', 'R2', 'R7', 'R8', 70, -100, 0, -25]

How can I solve it?

Answer 1

I'm giving this with example to handle the 2 types which you have mentioned in your question:

import pandas as pd
df = pd.DataFrame()

df['random_vals'] = pd.Series(['R1', 'R2', 70, -100, 0, -25, 'R7', 'R8'])

def sort_by_type(random_types_list):
  str_list = []
  int_list = []
  for elem in random_types_list:
    if isinstance(elem, str):
      str_list.append(elem)
    elif isinstance(elem, int):
      int_list.append(elem)
  return str_list+int_list

print(sort_by_type(list(df['random_vals'])))

Output of the print statement:

>>> print(sort_by_type(list(df['random_vals'])))
['R1', 'R2', 'R7', 'R8', 70, -100, 0, -25]

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Similarly you can add the code in sort_by_types method for other data-types aswell.