/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

1 vote259 views1 answer
Remove all files in a directory mac
Python
11 votes245 views3 answers
__name__== __main__ in python
Python
28 votes285 views6 answers
Convert list to string python
Python
1 vote276 views1 answer
Delete turtle
Python
10 votes229 views2 answers
How to use modulo in python
Python
0 vote279 views1 answer
Django Signup urls.py
Python
1 vote260 views1 answer
Message box on closing window event in tkinter
Python
9 votes257 views2 answers
Matplotlib axis rotate xticks
Python
6 votes263 views1 answer
Check if any value is null in pandas dataframe
Python
-1 vote311 views1 answer
ImportError: DLL load failed while importing win32file: The specified module could not be found.
Python