I'm already using .isna
and .isnull
to check for missing value in my data and it shows that there is no missing value in the data. But when I skimming the data using excel, I found several empty cells in a column. That column was supposed to have numerical data type, but it got identified as object because it has several empty cells. If I want to delete these cells, what should I do?
That column was supposed to have numerical data type, but it got identified as object because it has several empty cells.
This suggest that they are empty strings, ''
. You could replace them with NaN values using replace
:
df = df.replace('', np.nan)