How to specify different columns stacked vertically within CSV using pandas?
You can use pd.read_csv funcation with perameters of nrows and skiprows to read two different data frame and then concat them horizontally
import pandas as pd
df = pd.read_csv('your csv file path',nrows=4)
df1 = pd.read_csv('your csv file path',skiprows=5)
df = pd.concat([df, df1], axis = 1, sort = False)
print(df)

__output__

   crit_rating      DPS   DPS-Error  agility     cDPS   cDPS-Error
0        -1250  4439.51     11.2203    -1250  1400.14      3.62795
1        -1225  4438.28     11.3488    -1225  1473.09      4.28675
2        -1200  4439.30     11.2504    -1200  1547.47      4.47641
3        -1175  4442.01     13.0366    -1175  1620.25      4.63525

same you can implement with a single line of code i.e.
df = pd.concat([pd.read_csv('your csv file path',nrows=4), pd.read_csv('your csv file path',skiprows=5)], axis = 1, sort = False)