pandas using eval converter excluding nans

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Kenan
22 Aug 2020
1data["Gender"].fillna("No Gender", inplace = True)
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Ethan
27 Nov 2016
1df.fillna('', inplace=True)
source
Amadou
02 May 2016
1from ast import literal_eval
2from io import StringIO
3
4# replicate csv file
5x = StringIO("""A,B
6,"('t1', 't2')"
7"('t3', 't4')",""")
8
9def literal_converter(val):
10    # replace first val with '' or some other null identifier if required
11    return val if val == '' else literal_eval(val)
12
13df = pd.read_csv(x, delimiter=',', converters=dict.fromkeys('AB', literal_converter))
14
15print(df)
16
17          A         B
180            (t1, t2)
191  (t3, t4)          
20
source
Davide
21 Jun 2019
1df.fillna('()').applymap(ast.literal_eval)
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