如何按顺序连接多个数据？

Question

我想一天一天地度过整个四月。我想打印一个数据，每天加起来，直到我在一天，另一个df，只有最近3天。例如，假设今天是2021年4月5日。我想打印一个将apr1、apr2、apr3和apr4结合在一起的数据格式。我还想打印最后3天(apr2，apr3，apr4)。我该怎么做呢？

import pandas as pd
z={
    0 :pd.read_csv('21_apr1.csv'),
    1 :pd.read_csv('21_apr2.csv'),
    2 :pd.read_csv('21_apr3.csv'),
    3 :pd.read_csv('21_apr4.csv'),
    4 :pd.read_csv('21_apr5.csv'),
    }
for w in range(5):
    try:
        df1=pd.concat([z[w],z[w-1],z[w-2],z[w-3],z[w-4]])
    except KeyError:
        continue
for w in range(5):
    try:
        df2=pd.concat([z[w-3],z[w-2],z[w-1]])
    except KeyError:
        continue
print(df1.head(3))
print(df2.head(3))

Answer 1

import pandas as pd
z = [pd.read_csv(f'21_apr{x}.csv') for x in range(1, 6)]

df1 = pd.concat([z[0:-1])
df2 = pd.concat([z[1:-1])

Answer 2

我能够用BeRT2me所写的来解决问题。

today=int(input('Which day of 2021? Day: '))
for n in range(1,today+1):
    if n>3:
        z = [pd.read_csv(f'21_day{w}.csv')for w in range(1,n)]
        temp1=pd.read_csv(f'21_day{n-3}.csv')
        temp2=pd.read_csv(f'21_day{n-2}.csv')
        temp3=pd.read_csv(f'21_day{n-1}.csv')
        last3days=pd.concat([temp1,temp2,temp3])
        all_past = pd.concat(z[:])
        nextday = pd.read_csv(f'21_day{n+1}.csv')

      #run my code in the for loop