pandas how to check dtype for all columns in a dataframe?

Question

It seems that dtype only work for pandas.DataFrame.Series, right? Is there a function to display data types of all columns at once?

Answer 1

To go one step further, I assume you want to do something with these dtypes. df.dtypes.to_dict() comes in handy.

my_type = 'float64' #<---

dtypes = dataframe.dtypes.to_dict()

for col_nam, typ in dtypes.items():
    if (typ != my_type): #<---
        raise ValueError(f"Yikes - `dataframe['{col_name}'].dtype == {typ}` not {my_type}")

You'll find that Pandas did a really good job comparing NumPy classes and user-provided strings. For example: even things like 'double' == dataframe['col_name'].dtype will succeed when .dtype==np.float64.