values.extend(extract_all_values(item)) else: values.append(data) return values complex_data = {'a': [1, 2, {'b': 3, 'c': 4}], 'd': {'e': 5, 'f': [6, 7]}} values = extract_all_values(complex_data) print(values) # [1, 2, 3, 4, 5, 6, 7] 十、性能比较 在...
'city':'New York','email':'alice@example.com','occupation':'Engineer'}# 定义需要提取的键keys_to_extract=['name','age','occupation']# 使用列表推导式从字典中提取值extracted_values=[sample_dict[key]forkeyinkeys_to_extractifkeyinsample_dict]# 输出提取的值print(extracted_values)...
def extract_keys_values(dictionary): keys = [] values = [] for key, value in dictionary.items(): keys.append(key) if isinstance(value, dict): nested_keys, nested_values = extract_keys_values(value) keys.extend([f"{key}.{nested_key}" for nested_key in nested_keys]) values.exte...
# 提取字典的两个键值对defextract_key_values(my_dict,key1,key2):ifkey1inmy_dictandkey2inmy_dict:return{key1:my_dict[key1],key2:my_dict[key2]}else:returnNone# 测试代码my_dict={'name':'Bob','age':30,'city':'Los Angeles'}result=extract_key_values(my_dict,'name','city')print(...
Dictionaries consists of Key:Value pairs, where the keys must be immutable and the values can be anything. 词典本身是可变的,因此这意味着一旦创建词典,就可以动态修改其内容。 Dictionaries themselves are mutable so this means once you create your dictionary, you can modify its contents on the fly....
Convert Dict_Values to List Using dict.values() Method First, we will usedict.values()method, which is used to extract all the values from the dictionary like this:dict_values([val1, val2….]). To convert it into a list, we will use the list constructor. ...
您可以循环遍历这些dictionary元素并执行各种操作。下面是一些例子:提取字典中的所有键值:for i in fruit_prices.keys():print(i)Out:appleorangebanana 将所有的值存储在一个列表中:values = []for i in fruit_prices.values():values.append(i)print(values)Out:[2.5, 4.99, 0.59]遍历字符串 让我们考虑...
width=1.1sht_3.range('A1:AZ48').row_height=7.8list_1=pd.read_csv('zaike.csv').values...
Extract Dictionary Pair Write a Python program to extract a single key-value pair from a dictionary into variables. Sample Solution-1: Python Code: # Create a dictionary 'd' with a single key-value pair.d={'Red':'Green'}# Retrieve the items (key-value pairs) from the dictionary and un...
(response.text)response.encoding="uft_8"#将json格式内容变为dictionary,再取得其中的valuesaray=json.loads(response.text)['values']# print(aray)# #定义其中的行为数组的第一行即0这一串值;将row定义为后面从第2行开始的所有的# cols = aray[0]# rows = aray[1:]#定义pandas的行和列,与前面的相...