/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 vote401 views1 answer
Fastest clicker python
Python
0 vote384 views1 answer
Loading model
Python
0 vote362 views1 answer
Import "whitenoise.django" could not be resolved
Python Django
0 vote327 views1 answer
Python print ling line in print
Python
0 vote337 views1 answer
To install a specific version, type the package name followed by the required version:
Python
2 votes335 views1 answer
Mpesa paypal
Python
1 vote319 views1 answer
Downgrade pip
Python
1 vote294 views1 answer
Python replace part in large file
Python
13 votes335 views3 answers
Python dynamic variable name
Python
22 votes357 views6 answers
How to check django version
Python