文章作者：Tyan
博客：noahsnail.com ?|? CSDN ?|? 簡書
本文主要是關(guān)于pandas的一些基本用法伟桅。
#!/usr/bin/env python
# _*_ coding: utf-8 _*_
import pandas as pd
import numpy as np
# Test 1
# 定義數(shù)據(jù)
dates = pd.date_range('20170101', periods = 6)
df = pd.DataFrame(np.arange(24).reshape((6, 4)), index = dates, columns = ['A', 'B', 'C', 'D'])
# 假設(shè)缺少數(shù)據(jù)
df.iloc[1, 1] = np.nan
df.iloc[2, 2] = np.nan
print df
# Test 1 result
A B C D
2017-01-01 0 1.0 2.0 3
2017-01-02 4 NaN 6.0 7
2017-01-03 8 9.0 NaN 11
2017-01-04 12 13.0 14.0 15
2017-01-05 16 17.0 18.0 19
2017-01-06 20 21.0 22.0 23
# Test 2
# 按行或列來舍棄數(shù)據(jù), how = any or all, any是默認值
print df.dropna(axis = 0, how = 'any')
# 填充數(shù)據(jù)
print df.fillna(value = 0)
# 判斷是否缺失數(shù)據(jù)
print df.isnull()
# 判斷是否存在缺失數(shù)據(jù)的情況
print np.any(df.isnull() == True)
# Test 2 result
A B C D
2017-01-01 0 1.0 2.0 3
2017-01-04 12 13.0 14.0 15
2017-01-05 16 17.0 18.0 19
2017-01-06 20 21.0 22.0 23
A B C D
2017-01-01 0 1.0 2.0 3
2017-01-02 4 0.0 6.0 7
2017-01-03 8 9.0 0.0 11
2017-01-04 12 13.0 14.0 15
2017-01-05 16 17.0 18.0 19
2017-01-06 20 21.0 22.0 23
A B C D
2017-01-01 False False False False
2017-01-02 False True False False
2017-01-03 False False True False
2017-01-04 False False False False
2017-01-05 False False False False
2017-01-06 False False False False
True
