Python Code: # Define a function called 'unique_values_in_list_of_lists' that extracts unique values from a list of lists.defunique_values_in_list_of_lists(lst):result=set(xforlinlstforxinl)# Flatten the list of lists and create a set to remove duplicates.returnlist(result)# Convert th...
import numpy as np test_list = [1, 4, 6, 1, 4, 5, 6] # printing the original list print("The original list is:", test_list) # convert list to numpy array arr = np.array(test_list) # get unique values and their indices unique_arr, unique_indices = np.unique(arr, return_in...
lista,listb) products = [a * b for a, b in zip(list1, list2)] # or just use numpy array # matrix addition: list(map(lambda x:x+2,[2,3,4])) np.array([2,3,4])+2 # element by element multiply of pd.Series df['factor'] = params.values[:,0] * x.values # column by...
d3['IVi']=(d3['badattr']-d3['goodattr'])*d3['WOEi']#16计算IVd4=(d3.sort_values(by='min_bin')).reset_index(drop=True)#17对箱体从大到小进行排序 cut=[]cut.append(float('-inf'))foriind4.min_bin:cut.append(i)cut.append(float('inf'))WOEi=list(d4['WOEi'].round(3))...
for location in visited_places:print(f"Explored {location}")enumerate()结合遍历：同时获取索引与值 在某些情况下，你可能不仅关心地点本身 ，还想知道它是你在旅途中探访的第几个地方。这时，enumerate()函数能助你一臂之力，它为每个元素配上一个序号，让你在遍历时同时获得索引和值。for index, place in...
list 对象去重 def distinct_by(lst, key): seen_values=set() unique_items=[]foriteminlst:ifitem[key] notinseen_values: unique_items.append(item) seen_values.add(item[key]) seen_values=Nonereturnunique_items 过滤: my_list =[] my_list.append({"sea1":1,"age":2}) ...
return len(lst) == len(set(lst)) x = [1,1,2,2,3,2,3,4,5,6] y = [1,2,3,4,5] all_unique(x) # False all_unique(y) # True 1. 2. 3. 4. 5. 6. 7. 2.字符元素组成判定 检查两个字符串的组成元素是不是一样的。
The unique values of the input array is: [1 2 3 4] NumPy unique Syntax and Parameters The function is called as follows: numpy.unique(arr, return_index=False, return_inverse=False, return_counts=False, axis=None) Here, List of parameters required in the NumPy unique function in Python....
df = pd.DataFrame(pd.read_excel('test.xlsx', engine='openpyxl')) print(df['city'].unique...
# days of week – seven key/value pairs# key existence>>>'Sa'inwdaysTrue>>>'Sp'inwdaysFalse# create list of keys>>>wdays.keys() ['M','T','W','Th','F','Sa','Su']# create an iterable list of values>>>wdays.values() ...