Programming Articles - Page 1061 of 3363

When it is required to group strings by K length using a suffix, a simple iteration and the ‘try’ and ‘except’ blocks are used.ExampleBelow is a demonstration of the samemy_list = ['peek', "leak", 'creek', "weak", "good", 'week', "wood", "sneek"] print("The list is :") print(my_list) K = 3 print("The value of K is ") print(K) my_result = {} for element in my_list: suff = element[-K : ] try: my_result[suff].append(element) except: my_result[suff] = [element] print("The ... Read More

When it is required to replace the elements of the list by greatest neighbours, a simple iteration along with the ‘if’ and ‘else’ condition is used.ExampleBelow is a demonstration of the samemy_list = [41, 25, 24, 45, 86, 37, 18, 99] print("The list is :") print(my_list) for index in range(1, len(my_list) - 1): my_list[index] = my_list[index - 1] if my_list[index - 1] > my_list[index + 1] else my_list[index + 1] print("The resultant list is :") print(my_list)OutputThe list is : [41, 25, 24, 45, 86, 37, 18, 99] The resultant list is : [41, ... Read More

When it is required to filter dictionaries with ordered values, the ‘sorted’ method along with the list comprehension is used.ExampleBelow is a demonstration of the samemy_list = [{'python': 2, 'is': 8, 'fun': 10}, {'python': 1, 'for': 10, 'coding': 9}, {'cool': 3, 'python': 4}] print("The list is :") print(my_list) my_result = [index for index in my_list if sorted( list(index.values())) == list(index.values())] print("The resultant dictionary is :") print(my_result)OutputThe list is : [{'python': 2, 'fun': 10, 'is': 8}, {'python': 1, 'coding': 9, 'for': 10}, {'python': 4, 'cool': 3}] The resultant dictionary ... Read More

To filter DataFrame between two dates, use the dataframe.loc. At first, import the required library −import pandas as pdCreate a Dictionary of lists with date records −d = {'Car': ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley'], 'Date_of_Purchase': ['2021-07-10', '2021-08-12', '2021-06-17', '2021-03-16', '2021-02-19', '2021-08-22']    }Creating dataframe from the above dictionary of listsdataFrame = pd.DataFrame(d) Fetch car purchased between two dates i.e. 1st Date: 2021-05-10 and 2nd Date: 2021-08-25 −resDF = dataFrame.loc[(dataFrame["Date_of_Purchase"] >= "2021-05-10") & (dataFrame["Date_of_Purchase"] = "2021-05-10") & (dataFrame["Date_of_Purchase"] Read More

When it is required to replace the value by Kth index value in a list of dictionary, the ‘isinstance’ method and a simple iteration are used.ExampleBelow is a demonstration of the samemy_list = [{'python': [5, 7, 9, 1], 'is': 8, 'good': 10},    {'python': 1, 'for': 10, 'fun': 9},    {'cool': 3, 'python': [7, 3, 9, 1]}] print("The list is :") print(my_list) K = 2 print("The value of K is") print(K) my_key = "python" for index in my_list:    if isinstance(index[my_key], list): index[my_key] = index[my_key][K] print("The result is :") ... Read More

When it is required to add the consecutive elements power, an ‘if’ condition and a simple iteration along with the ‘**’ operator are used.ExampleBelow is a demonstration of the samemy_list = [21, 21, 23, 23, 45, 45, 45, 56, 56, 67] print("The list is :") print(my_list) my_freq = 1 my_result = 0 for index in range(0, len(my_list) - 1):    if my_list[index] != my_list[index + 1]:       my_result = my_result + my_list[index] ** my_freq       my_freq = 1 else: my_freq += 1 ... Read More

When it is required to find the group sum till each K in a list, a simple iteration and the ‘append’ method are used.ExampleBelow is a demonstration of the samefrom collections import defaultdict my_list = [21, 4, 37, 46, 7, 56, 7, 69, 2, 86, 1] print("The list is :") print(my_list) my_key = 46 print("The key is ") print(my_key) my_sum = 0 my_result = [] for ele in my_list:    if ele != my_key: my_sum += ele    else:       my_result.append(my_sum)       my_result.append(ele)   ... Read More

We will see how to create multiindex from arrays using the MultiIndex.from_arrays(). At first, let us create an array of cars −car = ['Audi', 'Lexus', 'Tesla', 'Mercedes', 'BMW', 'Toyota', 'Nissan', 'Bentley', 'Mustang']Create another array for our example, that would include the Registration Price −reg_price = [1000, 1400, 1100, 900, 1700, 1800, 1300, 1150, 1350]Now, we will use the MultiIndex.from_arrays(). Also set the names for the levels in the index.ExampleFollowing is the code −import pandas as pd # array of cars car = ['Audi', 'Lexus', 'Tesla', 'Mercedes', 'BMW', 'Toyota', 'Nissan', 'Bentley', 'Mustang'] # array of registration price reg_price = ... Read More

When it is required to find non ‘K’ distant elements, a simple iteration along with the ‘append’ method is used.ExampleBelow is a demonstration of the samemy_list = [91, 13, 19, 25, 35, 3, 9, 11, 0] print("The list is :") print(my_list) my_key = 2 print("The key is ") print(my_key) my_result = [] for element in my_list:    if element + my_key not in my_list and element - my_key not in my_list: my_result.append(element) print("The resultant list is :") print(my_result)OutputThe list is : [91, 13, 19, 25, 35, 3, 9, 11, ... Read More

When it is required to find the product of the index value and the summation, the ‘enumerate’ attribute is used.ExampleBelow is a demonstration of the samemy_list = [71, 23, 53, 94, 85, 26, 0, 8] print("The list is :") print(my_list) my_result = 0 for index, element in enumerate(my_list):    my_result += (index + 1) * element print("The resultant sum is :") print(my_result)OutputThe list is : [71, 23, 53, 94, 85, 26, 0, 8] The resultant sum is : 1297ExplanationA list of integers is defined and is displayed on the console.An integer value is assigned to 0.The ... Read More