请参见下面的代码，我使用随机数生成了自己的数据以模仿您的数据。这只是对您使用其他问题中的numpy列表所做的微小修改：

import numpy as np

# note that my delimiter is a tab,which might be different from yours
emplaced_animals = np.genfromtxt('animals.txt',skip_header=1,dtype=str,delimiter='   ')
listed_animals = ['cat','dog','bear','camel','elephant']

def get_specific_animals_from(list_of_all_animals,specific_animals):
    """get a list only containing rows of a specific animal"""
    list_of_specific_animals = np.array([])
    for specific_animal in specific_animals:
        for animal in list_of_all_animals:
            if animal[0] == specific_animal:
                list_of_specific_animals = np.append(list_of_specific_animals,animal,0)
    return list_of_specific_animals

def delete_specific_animals_from(list_of_all_animals,bad_animals):
    """
    delete all rows of bad_animal in provided list
    takes in a list of bad animals e.g. ['dragonfly','butterfly']
    returns list of only desired animals
    """
    all_useful_animals = list_of_all_animals
    positions_of_bad_animals = []
    for n,animal in enumerate(list_of_all_animals):
        if animal[0] in bad_animals:
            positions_of_bad_animals.append(n)
    if len(positions_of_bad_animals):
        for position in sorted(positions_of_bad_animals,reverse=True):
            # reverse is important
            # without it,list positions change as you delete items
            all_useful_animals = np.delete(all_useful_animals,(position),0)
    return all_useful_animals

emplaced_animals = delete_specific_animals_from(emplaced_animals,['dragonfly','butterfly'])

list_of_elephants = get_specific_animals_from(emplaced_animals,['elephant'])

list_of_needed_animals = get_specific_animals_from(emplaced_animals,listed_animals)