dataframe1
data_a data_b data_c data_d data_e
61 0.30792 Rest 2.34857 True
183 0.93408 Rest 2.34550 True
305 1.56019 Rest 2.34215 True
427 2.18636 Rest 2.33955 True
549 2.81252 Rest 2.33660 True
dataframe2
data_a data_b data_c data_d data_e
122 0.62616 Discharge 2.32013 False
244 1.25233 Discharge 2.31390 False
366 1.87844 Discharge 2.31087 False
488 2.50460 Discharge 2.30819 False
610 3.13077 Discharge 2.30567 False
I would like the out put to be as follows:
dataframe3
data_a data_b data_c data_d data_e
61 0.30792 Rest 2.34857 True
122 0.62616 Discharge 2.32013 False
183 0.93408 Rest 2.34550 True
244 1.25233 Discharge 2.31390 False
305 1.56019 Rest 2.34215 True
366 1.87844 Discharge 2.31087 False
427 2.18636 Rest 2.33955 True
488 2.50460 Discharge 2.30819 False
549 2.81252 Rest 2.33660 True
610 3.13077 Discharge 2.30567 False
As you can see, the new dataframe should be sorted by according to the sequential order of the values in the data_a column.
检查concat
然后sort_values
df3 = pd.concat([df1, df2]).sort_values('data_a')
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.