/Python/Pandas using eval converter excluding nans

Pandas using eval converter excluding nans

Pandas replace nan

data["Gender"].fillna("No Gender", inplace = True)

Python pandas replace nan with null

df.fillna('', inplace=True)

Source: stackoverflow.com

Pandas using eval converter excluding nans

df.fillna('()').applymap(ast.literal_eval)

Source: stackoverflow.com

Pandas using eval converter excluding nans

from ast import literal_eval
from io import StringIO

# replicate csv file
x = StringIO("""A,B
,"('t1', 't2')"
"('t3', 't4')",""")

def literal_converter(val):
    # replace first val with '' or some other null identifier if required
    return val if val == '' else literal_eval(val)

df = pd.read_csv(x, delimiter=',', converters=dict.fromkeys('AB', literal_converter))

print(df)

          A         B
0            (t1, t2)
1  (t3, t4)

Source: stackoverflow.com

Similar codes

0 vote112 views2 answers
Matplotlib-Object oriented interface
Python
0 vote104 views4 answers
How to see directory from os module
Python
0 vote88 views1 answer
Foreign key on delete arguments
Python
12 votes98 views3 answers
Python check if input is a number
Python
0 vote96 views1 answer
How to define piecewise function i python
Python
0 vote148 views2 answers
Bs4 remove all emply tags
Python
0 vote102 views1 answer
Pyplot legend outside figure
Python
0 vote118 views1 answer
How to extract integers from string python
Python
0 vote93 views1 answer
Bag of word scikit learn
Python
2 votes90 views2 answers
Subplots matplotlib examples
Python