The drop() function of Pandas's DataFrame can be used to delete rows or columns from a given dataframe. You need to specify axis=0 for dropping rows and indices of rows that you want to delete as a list.
Here is an example where I want to delete rows 1 and 4:
>>> import pandas as pd
>>> df=pd.DataFrame({'A':[4,6,3,1,8], 'B':[43,12,54,34,67], 'C':[32,45,12,68,43]})
>>> df
A B C
0 4 43 32
1 6 12 45
2 3 54 12
3 1 34 68
4 8 67 43
>>> df.drop([1,4], axis=0)
A B C
0 4 43 32
2 3 54 12
3 1 34 68
>>>
If you want to change the original dataframe, you can specify 'inplace=True' as an additional parameter.