Python

data['horsepower'].replace(to_replace='?' , value = np.nan,inplace = True)
data['horsepower'].unique()

df['salary'] = df['salary'].fillna(df['salary'].mode()[0])

PREVIOUS	NEXT

Code Example
Python :: python tutorial pdf
Python :: python compare each item of one list
Python :: pandas create average per group
Python :: make value of two tables unique django
Python :: python single line function
Python :: ubuntu python3 as python
Python :: python list index()
Python :: python get class from string
Python :: python remove dtype from array
Python :: install python macos catalina
Python :: how to print in python
Python :: python empty dataframe
Python :: pytube get highest resolution
Python :: mysql store numpy array
Python :: matrix rotation in python
Python :: while python
Python :: python tableau 2d
Python :: move files in python
Python :: import matplotlib pyplot as plt
Python :: newline in python gives an extra one
Python :: empty array python
Python :: python search in json file
Python :: radix sort strings python
Python :: decision tree python
Python :: django exclude queryset
Python :: django.db.utils.IntegrityError:
Python :: Create list of unique values from dictionary
Python :: get lastest files from directory python
Python :: groupby fillna
Python :: NumPy flip Syntax