利用Numpy和Pandas对数据进行清洗，包括去除重复记录、处理缺失值和异常值，实现代码如下：
import pandas as pd
import numpy as np
def read_data(filename):
data = pd.read_csv(filename)
data.columns = ['age', 'workclass', 'fnlwgt', 'education', 'education-num',
'marital-status', 'occupation', 'relationship', 'race', 'sex',
'capital-gain', 'capital-loss', 'hours-per-week',
'native-country', 'income']
dt = data
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.unicode.ambiguous_as_wide', True)
pd.set_option('display.unicode.east_asian_width', True)
print(dt.head())
return data
def clean_data(data):
print('存在' if any(data.duplicated()) else '不存在', '重复观测值')
data.drop_duplicates()
print(data.isnull())
print(data.isnull().sum())
print(data.isnull().T.sum())
print('不存在' if any(data.isnull()) else '存在', '缺失值')
data.dropna()
data.fillna(method='ffill')
data.fillna(method='bfill')
data.fillna(value=2)
data.fillna(value={
'capital-gain': data['capital-gain'].mean()})
data1 = data['capital-gain']
xmean = data1.mean()
xstd = data1.std()
print('存在' if any(data1 > xmean + 2 * xstd) else '不存在', '上限异常值')
print('存在' if any(data1 < xmean - 2 * xstd) else '不存在', '下限异常值')
q1 = data1.quantile(0.25)
q3 = data1.quantile(0.75)
up = q3 + 1.5 * (q3 - q1)
dw = q1 - 1.5 * (q3 - q1)
print('存在' if any(data1 > up) else '不存在', '上限异常值')
print('存在' if any(data1 < dw) else '不存在', '下限异常值')
data1[data1 > up] = data1[data1 < up].max()
data1[data1 < dw] = data1[data1 > dw].min()
print(data1)
data = read_data('./income_classification.csv')
clean_data(data)
输出分析结果
age workclass fnlwgt education education-num \
0 39 State-gov 77516 Bachelors 13
1 50 Self-emp-not-inc 83311 Bachelors 13
2 38 Private 215646 HS-grad 9
3 53 Private 234721 11th 7
4 28 Private 338409 Bachelors 13
marital-status occupation relationship race sex \
0 Never-married Adm-clerical Not-in-family White Male
1 Married-civ-spouse Exec-managerial Husband White Male
2 Divorced Handlers-cleaners Not-in-family White Male
3 Married-civ-spouse Handlers-cleaners Husband Black Male
4 Married-civ-spouse Prof-specialty Wife Black Female
capital-gain capital-loss hours-per-week native-country income
0 2174 0 40 United-States <=50K
1 0 0 13 United-States <=50K
2 0 0 40 United-States <=50K
3 0 0 40 United-States <=50K
4 0 0 40 Cuba <=50K
存在 重复观测值
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