[英]Pandas filter rows by last 12 months in data frame
在过去的 12 个月中,我只需要保留其他列的行数月。 这里的最大日期是 2022-08-01,因此生成的 dataframe 应该有 2021-09-01 到 2022-08-01 的数据输入数据帧:
d = {'MONTH': ['2021-01-01', '2021-02-01','2021-03-01','2021-04-01',
'2021-05-01', '2021-06-01','2021-07-01','2021-08-01',
'2021-09-01', '2021-10-01','2021-11-01','2021-12-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01'],
'col2': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col3': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col4': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,3,4,1,2,
3,4,1,2]}
df = pd.DataFrame(data=d)
导致 dataframe:
d = {'MONTH': ['2021-09-01', '2021-10-01','2021-11-01','2021-12-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01'],
'col2': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col3': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col4': [3,4,1,2,
3,4,1,2,
3,4,1,2,3,4,1,2,
3,4,1,2]}
df = pd.DataFrame(data=d)
使用 pd.to_datetime
df['MONTH'] = pd.to_datetime(df['MONTH'])
df_new = df[df['MONTH'] >= '2021-09-01']
如果要根据数据集的最大日期使其动态化,请使用 relativedelta
from dateutil.relativedelta import relativedelta
df_new = df[df['MONTH'] >= df['MONTH'].max() - relativedelta(months=11)]
import pandas as pd
d = {'MONTH': ['2021-01-01', '2021-02-01','2021-03-01','2021-04-01',
'2021-05-01', '2021-06-01','2021-07-01','2021-08-01',
'2021-09-01', '2021-10-01','2021-11-01','2021-12-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01',
'2022-01-01', '2022-02-01','2022-03-01','2022-04-01',
'2022-05-01', '2022-06-01','2022-07-01','2022-08-01'],
'col2': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col3': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2],
'col4': [3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,
3,4,1,2,3,4,1,2,
3,4,1,2]}
df = pd.DataFrame(data=d)
rslt_df = df[(df['MONTH'] >= '2021-09-01') & (df['MONTH']<='2022-08-01')]
print(rslt_df)
您可以使用和调节来自 dataframe 的 select 数据
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