我有两个数据框:dfDepas 和 df7;
dfDepas.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 7 entries, 0 to 6
Data columns (total 4 columns):
day_of_week 7 non-null object
P_ACT_KW 7 non-null float64
P_SOUSCR 7 non-null float64
depassement 7 non-null float64
dtypes: float64(3), object(1)
memory usage: 280.0+ bytes
df7.info()
<class 'pandas.core.frame.DataFrame'>
Index: 7 entries, Fri to Thurs
Data columns (total 6 columns):
ACT_TIME_AERATEUR_1_F1 7 non-null float64
ACT_TIME_AERATEUR_1_F3 7 non-null float64
ACT_TIME_AERATEUR_1_F5 7 non-null float64
ACT_TIME_AERATEUR_1_F6 7 non-null float64
ACT_TIME_AERATEUR_1_F7 7 non-null float64
ACT_TIME_AERATEUR_1_F8 7 non-null float64
dtypes: float64(6)
memory usage: 392.0+ bytes
我尝试根据 ['day_of_week'] 合并这两个数据帧,这是 dfDepas 数据帧中的索引。
我不知道如何使用它:merged_df = pd.merge(dfDepas, df7, how='inner',on=['day_of_week'])
有什么想法可以帮助我吗? 谢谢
亲切的问候
编辑
dfDepas
day_of_week P_ACT_KW P_SOUSCR depassement
Fri 157.258929 427.142857 0.0
Mon 157.788110 426.875000 0.0
Sat 166.989236 426.875000 0.0
Sun 149.676215 426.875000 0.0
Thurs 157.339286 427.142857 0.0
Tues 151.122913 427.016021 0.0
Weds 159.569444 427.142857 0.0
df7
ACT_TIME_AERATEUR_1_F1 ACT_TIME_AERATEUR_1_F3 ACT_TIME_AERATEUR_1_F5 ACT_TIME_AERATEUR_1_F6 ACT_TIME_AERATEUR_1_F7 ACT_TIME_AERATEUR_1_F8
Fri 0.326258 0.330253 0.791144 0.654682 3.204544 1.008550
Sat -0.201327 -0.228196 0.044616 0.184003 -0.579214 0.292886
Sun 5.068735 5.250199 5.407271 5.546657 7.823564 5.786713
Mon -0.587129 -0.559986 -0.294890 -0.155503 2.013379 -0.131496
Tues-1.244922 -1.510025 -0.788717 -1.098790 -0.996845 -0.718881
Weds-3.264598 -3.391776 -3.188409 -3.041306 -4.846189 -4.668533
Thurs -0.178179 0.011002 -1.907544 -2.084516 -6.119337
最佳答案
您可以使用 reset_index
并将列 0
重命名为 day_of_week
以进行匹配:
merged_df = pd.merge(dfDepas,
df7.reset_index().rename(columns={0:'day_of_week'}),
on=['day_of_week'])
谢谢Quickbeam2k1
另一种解决方案:
merged_df = pd.merge(dfDepas.set_index('day_of_week'),
df7,
right_index=True,
left_index =True)
关于python - 用python合并两个数据框,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/39032204/