Replacing values in a specific DataFrame column using a dictionary

Question

question@mail.ru ·

Replacing values in a specific DataFrame column using a dictionary

📁 python

Need to replace values in a specific DataFrame column using a dictionary, and if the dictionary key is not found, delete the entire row from the DataFrame.

I was able to accomplish the task like this:

dict1 = {'Car': 'c', 'Motorcycle': 'mt', 'Truck': 'tr'}df = pd.DataFrame({'Product': 'Truck Motorcycle Car Car Tire Wheel Truck'.split(),                   'Price': [10000, 5000, 23000, 15000, 500, 300, 8000]})d



                    
                        
                            
                            
                                1 responses

answer@mail.ru · Answer 1

import copydict_all = copy.deepcopy(dict_1)for loop_dict in dict_2, dict_3:    for k, v in loop_dict.items():        try:            dict_all[k].extend(v)        except KeyError:            dict_all[k] = v

If preserving the original dict_1 is not needed, you can avoid deep copying it. The exception handling is needed in case dict_1 does not have some keys that appear in other dictionaries.

Replacing values in a specific DataFrame column using a dictionary

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