python convert nan to empty string
# Option 1
df1 = df.replace(np.nan, '', regex=True) # All data frame
# Option 2
df[['column1','column2']] = df[['column1','column2']].fillna('') # Specific columnspython convert nan to empty string
# Option 1
df1 = df.replace(np.nan, '', regex=True) # All data frame
# Option 2
df[['column1','column2']] = df[['column1','column2']].fillna('') # Specific columnspandas replace empty string with nan
df = df.replace(r'^\s*$', np.NaN, regex=True)pandas dataframe convert nan to string
df.fillna('', inplace=True)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)Copyright © 2021 Codeinu
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