Adding Key-Value pair to a Series that does not have a given Key (Pandas)-CodePudding

I want to update a series if it is missing a key, but my code is generating an error.

This is my code:

for item in list:
    if item not in my_series.keys():
        my_series = my_series[item] = 0

Where my_series is a series of dtype int64. It's actually a value count.

My code above is generating the following error

'int' object does not support item assignment

CodePudding user response：

What do you mean by "series"? There's no such data type in python if I'm not mistaken. You seem to use it as it was a dict. Do you need to set default value to 0 for a key "item"? If so:

for item in <definitely_list_is_a_bad_name>:
    my_series[item] = my_series.get(item) if my_series.get(item, None) is not None else 0

CodePudding user response：

From what I read in the docs, a Pandas series functions much like a dict, so my comment remains valid:

import pandas as pd
d = {'a': 1, 'b': 2, 'c': 3}
my_series = pd.Series(data=d, index=['a', 'b', 'c'])
my_list = ['a','h','c','d']

for item in my_list:
    if item not in my_series:
        my_series[item] = 0
        
print(my_series)

# a    1
# b    2
# c    3
# h    0
# d    0
# dtype: int64

Btw, as John Doe mentioned, "list" is a bad choice of a name; don't use Python keywords as objects names, else you will overwrite those keywords and risk problems later.