Pandas. Trying to delete rows on condition but code replaces column with another column

Question

So in the beginning I get a look over my db.

print(sales.head)
print(sales['SALE PRICE'].describe())

After that I use a trick to keep rows that don't contain this kind of NULL value

sales['SALE PRICE'] = sales[sales['SALE PRICE'] != ' -  ']

After that I check if everything is done wright

print(sales.head)
print(sales['SALE PRICE'].describe())

But my program just replaces SALE PRICE column with 0th column that contains indexes Any ideas?

Answer 1

You just need to assign result back to sales instead of column.

sales = sales[sales['SALE PRICE'] != ' -  ']

• sales['SALE PRICE'] != ' - ' This will return Indexes with True and False Values.
• So sales[sales['SALE PRICE'] != ' - '] This already returns a DataFrame you wants.