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Engineering
Data Structures and Algorithms
# Put the code below   # consider using np.where() method to preprocess "Sex" column. # replace F in "Sex" F" with 1 and replace "M" with 0 # consider using the following condition: df['Sex'].values == 'F' # if this condition is met, put 1 otherwise 0. # Update the "Sex" column   import numpy as np df['Sex'] = np.where() #complete this line of code by putting the appropriate code inside () df

# Put the code below   # consider using np.where() method to preprocess "Sex" column. # replace F in "Sex" F" with 1 and replace "M" with 0 # consider using the following condition: df['Sex'].values == 'F' # if this condition is met, put 1 otherwise 0. # Update the "Sex" column   import numpy as np df['Sex'] = np.where() #complete this line of code by putting the appropriate code inside () df

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# Put the code below

 

# consider using np.where() method to preprocess "Sex" column.
# replace F in "Sex" F" with 1 and replace "M" with 0
# consider using the following condition: df['Sex'].values == 'F'
# if this condition is met, put 1 otherwise 0.
# Update the "Sex" column

 

import numpy as np
df['Sex'] = np.where() #complete this line of code by putting the appropriate code inside ()
df
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