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np.array()

np.array(input)

Casts an iterable (bpd.Series, bpd.Index, and list) into a NumPy array.

Input:
input : ser, df.index, df.columns, list
Name of series/.columns/list to cast to an array.
Returns:
An array with the same elements as the input.
Return Type:
Array

Series to Array

weight_ser = pets.get('Weight')
weight_ser
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
weight_arr = np.array(weight_ser)
weight_arr

array([40. , 15. , 20. , 80. , 25. , 1. , 0.25])

bpd.Index to Array

pets_idx = pets.set_index('ID').index
pets_idx

Index(['dog_001', 'cat_001', 'cat_002', 'dog_002', 'dog_003', 'ham_001', 'ham_002', 'cat_003'], dtype='object', name='ID')

#df.index to array
pets_idx_arr = np.array(pets.set_index('ID').index)
pets_idx_arr

array(['dog_001', 'cat_001', 'cat_002', 'dog_002', 'dog_003', 'ham_001', 'ham_002', 'cat_003'], dtype=object)

pets_cols = pets.columns
pet_cols

Index(['ID', 'Species', 'Color', 'Weight', 'Age', 'Is_Cat', 'Owner_Comment'], dtype='object')

#df.columns to array
pets_cols_arr = np.array(pets.columns)
pet_cols_arr

array(['ID', 'Species', 'Color', 'Weight', 'Age', 'Is_Cat', 'Owner_Comment'], dtype=object)

List to Array

pets_list = ["dog", "cat", "hamster", "cat", "cat", "dog", "dog", "hamster", "hamster"]
pet_list

["dog", "cat", "hamster", "cat", "cat", "dog", "dog", "hamster", "hamster"]

pets_list_arr = np.array(pets_list)
pet_list_arr

array(["dog", "cat", "hamster", "cat", "cat", "dog", "dog", "hamster", "hamster"], dtype=object)