我应该怎么做才能解决我在 python 中使用 dropna 和 fillna 的问题？

Question

I see there are some missing data, in my data. there are NaN values in "Type 2" column.

When i write this code to drop the rows which have NaN values;

When i write this code to add "empty" which have NaN values;

I restarted my jupyter notebook but its still the same.

Answer 1

您可以使用：

data = data[data['Type 2'].notna()]

Answer 2

Try

data.dropna(axis=1, inplace=True)

axis=1 means columns axis=0 means rows if any column contains NaN it will remove entire column similarly row

Answer 3

When you do data['Type 2'].dropna(inplace=True) , that's creating a new series (for your "Type 2" column) and dropping the nans from that new data structure. It doesn't change your original dataframe.

If you want to dropna from the DataFrame, you need to do it directly on that object, not on the column object. The following drops nans directly on the DataFrame:

data.dropna(subset=['Type 2'], inplace=True)

Note that here we're calling dropna on data directly. subset is the argument that you can use to tell pandas which columns to use to determine which rows to drop.