Assume you have the Pandas DataFrame data, with the followingcontents:

our_columns_name column_A column_B column_C column_Dcolumn_E

our_index_name                                                   

row_name_0              9       93       71    Hello      102

row_name_1             28       64       37      my        92

row_name_2             13       91       93     name      104

row_name_3             45       29       54       is       74

row_name_4              0       36        31   Jason        36

Each column has a dtype (data type). Which of the followingcould be set of dtypes for this DataFrame?

Hint 1: None of the numeric values shows a decimal point. (Afloat shows a decimal point, while an int does not. For example, 3.is a float, while 3 is an int.)

Hint 2: A column that has strings has a dtype of object, notstr.

You can create the DataFrame above with this code:

data = pd.DataFrame({'column_A': {'row_name_0': 9,

'row_name_1': 28,

'row_name_2': 13,

'row_name_3': 45,

'row_name_4': 0},

'column_B': {'row_name_0': 93,

'row_name_1': 64,

'row_name_2': 91,

'row_name_3': 29,

'row_name_4': 36},

'column_C': {'row_name_0': 71,

'row_name_1': 37,

'row_name_2': 93,

'row_name_3': 54,

'row_name_4': 31},

'column_D': {'row_name_0': 'Hello',

'row_name_1': 'my',

'row_name_2': 'name',

'row_name_3': 'is',

'row_name_4': 'Jason'},

'column_E': {'row_name_0': 102,

'row_name_1': 92,

'row_name_2': 104,

'row_name_3': 74,

'row_name_4': 36}})

• A.

  column_A     int64

  column_B   float64

  column_C   float64

  column_D    object

  column_E     int64

• B.

  column_A     int64

  column_B     int32

  column_C     int32

  column_D    int64

  column_E     int64

• C.

  column_A     int64

  column_B     int64

  column_C     int64

  column_D    object

  column_E     int64