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selva86/course2_challenge_1.py

Created September 21, 2021 10:08
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course2_challenge_1.py
import pandas as pd
import numpy as np
df = pd.read_csv('Datasets/titanic.csv').sample(50, random_state=100)
n_missing = np.random.randint(4, 15, 1)
for i in range(n_missing):
row = np.random.randint(1, df.shape[0])
df.at[row, "Age"] = np.nan
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