I have several null values in a column:
print(df['col'].isnull().sum(axis = 0))
I am trying to replace them like this:
df['col'].fillna(value='no_val')
#df['col'].value_counts()
print(df['col'].isnull().sum(axis = 0))
but it doesn't work and still shows the same number of null values after using .fillna as well. If I change it like this:
df = df['col'].fillna(value='no_val')
it would start giving me a key error for 'col' in the next line. What am I doing wrong?
You can use inplace=True
inside fillna
method to reflect output
df['col'].fillna(value='no_val',inplace=True)
Or you can reassing column
df['col']= df['col'].fillna(value='no_val')