Dropping rows and finding the average of a speific column
Question:
I am trying to remove specific rows from the dataset and find the average of a specific column after the rows are removed without changing the original dataset
import pandas as PD
import NumPy as np
df = PD.read_csv(r"C:UsersUserDownloadsnba.CSV")
NBA = PD.read_csv(r"C:UsersUserDownloadsnba.CSV")
NBA.drop([25,72,63],axis=0)
I NEED TO FIND THE AVERAGE OF A SPECIFIC COLUMN LIKE "AGE"
HOWEVER THIS ISNT WORKING: Nba.drop([25,72,63],axis=0),['Age'].mean()
NEITHER IS THE QUERY COMMAND OR THE. LOC COMMAND
Answers:
Your code to drop the rows is correct.
NBA_clean = NBA.drop([25,72,63],axis=0)
will give you a new dataframe with some rows removed.
To find the average of a specific column, you can use index notation, which will return a series containing that specific row:
NBA_Age = NBA_clean["Age"]
Finally, to return the mean, you simply call the mean() method with:
NBA_mean_age = NBA_Age.mean()
It is not clear what the specific mistake in your code is, but I will present two possibilities:
- You are not saving the result of
NBA.drop([25,72,63],axis=0) into a variable. This operation is not done in place, if you want to do it in place you must use the inplace=True argument for NBA.drop([25,72,63], axis=0, inplace=True).
- There is an unnecessary comma in
Nba.drop([25,72,63],axis=0),['Age'].mean(). Remove this to get the correct syntax Nba.drop([25,72,63],axis=0)['Age'].mean(). I suspect the error message obtained when running this code would have hinted at the unnecessary comma.
can you try this? I think there was a typo in your code
Nba.drop([25,72,63],axis=0)['Age'].mean()
I am trying to remove specific rows from the dataset and find the average of a specific column after the rows are removed without changing the original dataset
import pandas as PD
import NumPy as np
df = PD.read_csv(r"C:UsersUserDownloadsnba.CSV")
NBA = PD.read_csv(r"C:UsersUserDownloadsnba.CSV")
NBA.drop([25,72,63],axis=0)
I NEED TO FIND THE AVERAGE OF A SPECIFIC COLUMN LIKE "AGE"
HOWEVER THIS ISNT WORKING: Nba.drop([25,72,63],axis=0),['Age'].mean()
NEITHER IS THE QUERY COMMAND OR THE. LOC COMMAND
Your code to drop the rows is correct.
NBA_clean = NBA.drop([25,72,63],axis=0)
will give you a new dataframe with some rows removed.
To find the average of a specific column, you can use index notation, which will return a series containing that specific row:
NBA_Age = NBA_clean["Age"]
Finally, to return the mean, you simply call the mean() method with:
NBA_mean_age = NBA_Age.mean()
It is not clear what the specific mistake in your code is, but I will present two possibilities:
- You are not saving the result of
NBA.drop([25,72,63],axis=0)into a variable. This operation is not done in place, if you want to do it in place you must use theinplace=Trueargument forNBA.drop([25,72,63], axis=0, inplace=True). - There is an unnecessary comma in
Nba.drop([25,72,63],axis=0),['Age'].mean(). Remove this to get the correct syntaxNba.drop([25,72,63],axis=0)['Age'].mean(). I suspect the error message obtained when running this code would have hinted at the unnecessary comma.
can you try this? I think there was a typo in your code
Nba.drop([25,72,63],axis=0)['Age'].mean()