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 columnshow to replace nan with 0 in pandas
df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
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