从多数据帧中的选定行创建新数据帧

Question

我有三个数据帧。我想从所有3个数据帧中按日期2020-10-26选择行，然后我想创建一个新的数据帧。怎么做

import pandas as pd
from datetime import date

date1 = date.fromisoformat('2020-10-25')
date2 = date.fromisoformat('2020-10-26')
date3 = date.fromisoformat('2020-10-27')

for x in range(3):
    df = pd.DataFrame([(date1,f'Stu{x}j', x+1, f'Varan{x}j', x*400+2), 
                        (date2,f'aja{x}k', x+2, f'Del{x}j', x*634+3), 
                        (date3,f'Aadi{x}t', x+4, f'Mumb{x}j', x*454+4),
                        (date2,f'har{x}h', x+5, f'bom{x}j', x*124+5)],
                       columns =['Date','Name', 'Age',  
                             'City', 'Salary'])
    df.set_index('Date', inplace = True)
    print(df)

Answer 1

下面的代码将帮助您

import pandas as pd
from datetime import date

date1 = date.fromisoformat('2020-10-25')
date2 = date.fromisoformat('2020-10-26')
date3 = date.fromisoformat('2020-10-27')
res = pd.DataFrame()
for x in range(3):
    df = pd.DataFrame([(date1,f'Stu{x}j', x+1, f'Varan{x}j', x*400+2), 
                        (date2,f'aja{x}k', x+2, f'Del{x}j', x*634+3), 
                        (date3,f'Aadi{x}t', x+4, f'Mumb{x}j', x*454+4),
                        (date2,f'har{x}h', x+5, f'bom{x}j', x*124+5)],
                       columns =['Date','Name', 'Age',  
                             'City', 'Salary'])
    temp = df[df['Date'].isin([date2])]
    res = res.append(temp)
print(res)

旧方法：

fr = [df1, df2, df3]
full = pd.concat(fr).reset_index()
full[full.Date.isin([date2])]