pandas-22 数据去重处理

import numpy as np

import pandas as pd

from pandas import Series, DataFrame

df = pd.read_csv('./demo_duplicate.csv')

print(df)

print(df['Seqno'].unique()) # [0. 1.]

# 使用duplicated 查看 重复值

# 参数 keep 可以标记重复值 {'first'，'last'，False}

print(df['Seqno'].duplicated())

'''

0    False

1     True

2     True

3     True

4    False

Name: Seqno, dtype: bool

'''

# 删除 series 重复数据

print(df['Seqno'].drop_duplicates())

'''

0    0.0

4    1.0

Name: Seqno, dtype: float64

'''

# 删除 dataframe 重复数据

print(df.drop_duplicates(['Seqno'])) # 按照 Seqno 来 去重

'''

    Price  Seqno Symbol        time

0  1623.0    0.0   APPL  1473411962

4  1649.0    1.0   APPL  1473411963

'''

# drop_dujplicates() 第二个参数 keep 包含的值 有： first、last、False

print(df.drop_duplicates(['Seqno'], keep='last')) # 保存最后一个

'''

    Price  Seqno Symbol        time

3  1623.0    0.0   APPL  1473411963

4  1649.0    1.0   APPL  1473411963

'''