如何为fillna更改pandas中的确切行/列数据点

Question

I want to fill nan values using some linear regression model. I use other columns that are not nan and I compute the one that is NaN.

Now, I have a problem to change the following value.

I have an array nan_values_predicted and the indexes of these values in the main dataset.

But I can't find a way to change the exact data point.

I tried something like:

df.loc[index_1]['feature_1'] = df.loc[index_1]['feature_1'].fillna(predicted_feature_1)

and many other variations, a bit smarter than this one but they don't work. Any help?

Answer 1

I was missing this...

as opposed to doing df.loc[index_1]['feature_1'] = some_value I should've done df.loc[index_1, 'feature_1'] = some_value

And everything works now