type-inference

Stop Pandas from converting int to float due to an insertion in another column Question: I have a DataFrame with two columns: a column of int and a column of str. I understand that if I insert NaN into the int column, Pandas will convert all the int into float because there is no NaN …

What's the difference between dtype and converters in pandas.read_csv? Question: pandas function read_csv() reads a .csv file. Its documentation is here According to documentation, we know: dtype : Type name or dict of column -> type, default None Data type for data or columns. E.g. {‘a’: np.float64, ‘b’: np.int32} (Unsupported with engine=’python’) and converters : …