I am using drop() to try to remove a row from a dataframe, based on an index. Nothing seems to happen. I get lots of errors if I play with the syntax, but the below example yields the same dataframe I started with.
data= {"col1":[1, 3, 3,3],"col2":[4,5,6,4],"col3":[7,6,6,8]}
testdf2 = pd.DataFrame(data)
testdf2.drop([1])
testdf2
I assume I'm missing something obvious?
CodePudding user response:
When using drop, you must reassign to your df (Or create a new one).
import pandas as pd
data= {"col1":[1, 3, 3,3],"col2":[4,5,6,4],"col3":[7,6,6,8]}
testdf2 = pd.DataFrame(data)
testdf2 = testdf2.drop([1])
testdf2
Alternatively, supply inplace.
testdf2.drop([1], inplace=True)
However, this could lead to complications regarding view / copy and I usually reassign.
Hope that helps!