PYTHON DATA SCIENCE PROGRAMMING

# QUESTION: Given an arbitrary array X, complete the function filter to

# a) select rows that have no negative values

# b) select columns whose sum is bigger than 15

import pandas as pd

import numpy as np

def filter(X):

#

# COMPLETE HERE

#

#X = X[:,X.min(axis=0)>=0]

return X

#the following lines create a random array to test your function with that.

np.random.seed(10)

A = np.random.randint(10,size=(4,7))

A[1,3] = -1.0

print(str(A)+' ')

print(filter(A))

# QUESTION: Given an arbitrary array X, complete the function filter to # a) select rows that have no negative values # b) select columns whose sum is bigger than 15 import pandas as pd import numpy as np def filter (X): # # COMPLETE HERE # #x = X[:,X.min(axis=0)>=0 ] return x #the following lines create a random array to test your function with that. np.random.seed (10) A = np.random.randint(10,size=(4,7)) A[1,3] = -1.0 print(str(A)+' ') print(filter(A))