遍历pandas数据框中的列，并将结果输出到新的数据框中

Question

I'm trying to iterate over the columns in a pandas dataframe that is 6 x 22 columns using df.apply(min_max, axis=0) and get the output in a new dataframe with two columns as below.

   def min_max(column):
      column_names = ['column', 'value']
      output = pd.DataFrame(columns = column_names)
      output2 = pd.DataFrame([column, abs(column.max() - column.min())])
      return output.append(output2)

df is shown in attached img: first few columns on current dataframe

Two questions:

1. I'm getting the error below:

   TypeError: ("object of type 'Timedelta' has no len()", 'occurred at index date')

2. Is there a way I can exclude all columns that are not dtype = int ? Does this go into the function?

Much oblidged.

Answer 1

Here is a solution :

df.select_dtypes(exclude = ['int']).apply(min_max, axis = 0)

pandas.DataFrame.select_dtypes

To select all numeric values use numpy.number.