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Programming Articles
Page 1067 of 2544
Python – Remove dictionary from a list of dictionaries if a particular value is not present
When it is required to remove dictionary from a list of dictionaries if a particular value is not present, a simple iteration and the ‘del’ operator is used.ExampleBelow is a demonstration of the same −my_list = [{"id" : 1, "data" : "Python"}, {"id" : 2, "data" : "Code"}, {"id" : 3, "data" : "Learn"}] print("The list is :") print(my_list) for index in range(len(my_list)): if my_list[index]['id'] == 2: del my_list[index] break print("The result is :") print(my_list)OutputThe list ...
Read MorePython – Remove Tuples with difference greater than K
When it is required to remove tuples with difference greater than K, use the abs() method.Below is a demonstration of the same −Examplemy_tuple = [(41, 18), (21,57), (39, 22), (23, 42), (22, 10)] print("The tuple is :") print(my_tuple) K = 20 my_result = [element for element in my_tuple if abs(element[0] - element[1])
Read MorePython – Extract Strings with Successive Alphabets in Alphabetical Order
When it is required to extract strings which have successive alphabets in alphabetical order, a simple iteration, and the ‘ord’ method for Unicode representation is used.ExampleBelow is a demonstration of the same −my_list = ["python", 'is', 'cool', 'hi', 'Will', 'How'] print("The list is :") print(my_list) my_result = [] for element in my_list: for index in range(len(element) - 1): if ord(element[index]) == ord(element[index + 1]) - 1: my_result.append(element) break print("The result ...
Read MorePython Program that extract words starting with Vowel From A list
When it is required to extract words starting with vowel from a list, a simple iteration, a flag value and the ‘startswith’ method are used.Below is a demonstration of the same −Example:my_list = ["abc", "phy", "and", "okay", "educate", "learn", "code"] print("The list is :") print(my_list) my_result = [] my_vowel = "aeiou" print("The vowels are ") print(my_vowel) for index in my_list: my_flag = False for element in my_vowel: if index.startswith(element): my_flag = True ...
Read MoreHow to get (format) date and time from mill seconds in Java?
The java.text.SimpleDateFormat class is used to format and parse a string to date and date to string.One of the constructors of this class accepts a String value representing the desired date format and creates SimpleDateFormat object.To format milli seconds to date −Create the format string as dd MMM yyyy HH:mm:ss:SSS Z.The Date class constructor accepts a long value representing the milliseconds as a parameter and creates a date object.Finally format the date object using the format() method.Exampleimport java.text.ParseException; import java.text.SimpleDateFormat; import java.util.Date; public class Sample { public static void main(String args[]) throws ParseException { ...
Read MorePython program to print Rows where all its Elements’ frequency is greater than K
When it is required to print rows where all its elements’ frequency is greater than K, a method is defined that takes two parameters, and uses ‘all’ operator and iteration to give the result.Below is a demonstration of the same −Exampledef frequency_greater_K(row, K) : return all(row.count(element) > K for element in row) my_list = [[11, 11, 32, 43, 12, 23], [42, 14, 55, 62, 16], [11, 11, 11, 11], [42, 54, 61, 18]] print("The tuple is :") print(my_list) K = 1 print("The value of K is :") print(K) my_result = [row for row in my_list if frequency_greater_K(row, ...
Read MorePython Program to repeat elements at custom indices
When it is required to repeat elements at custom indices, a simple iteration, enumerate attribute, the ‘extend’ method and the ‘append’ method are used.Below is a demonstration of the same −Examplemy_list = [34, 56, 77, 23, 31, 29, 62, 99] print("The list is :") print(my_list) index_list = [3, 1, 4, 6] my_result = [] for index, element in enumerate(my_list): if index in index_list: my_result.extend([element, element]) else : my_result.append(element) print("The result is :") print(my_result)OutputThe list is : [34, 56, 77, 23, 31, 29, ...
Read MorePython – Inverse Dictionary Values List
When it is required to inverse the dictionary values to a list, a simple iteration and ‘append’ method is used.Below is a demonstration of the same −from collections import defaultdict my_dict = {13: [12, 23], 22: [31], 34: [21], 44: [52, 31]} print("The dictionary is :") print(my_dict) my_result = defaultdict(list) for keys, values in my_dict.items(): for val in values: my_result[val].append(keys) print("The result is :") print(dict(my_result))OutputThe dictionary is : {34: [21], 44: [52, 31], 13: [12, 23], 22: [31]} The result is : {52: [44], 31: [44, 22], 12: [13], 21: [34], ...
Read MorePython – Sort String list by K character frequency
When it is required to sort a list of strings based on the ‘K’ number of character frequency, the ‘sorted’ method, and the lambda function is used.ExampleBelow is a demonstration of the same −my_list = ['Hi', 'Will', 'Jack', 'Python', 'Bill', 'Mills', 'goodwill'] print("The list is : " ) print(my_list) my_list.sort() print("The list after sorting is ") print(my_list) K = 'l' print("The value of K is ") print(K) my_result = sorted(my_list, key = lambda ele: -ele.count(K)) print("The resultant list is : ") print(my_result)OutputThe list is : ['Hi', 'Will', 'Jack', 'Python', 'Bill', 'Mills', 'goodwill'] The list after sorting is ...
Read MorePandas GroupBy – Count the occurrences of each combination
To groupby columns and count the occurrences of each combination in Pandas, we use the DataFrame.groupby() with size(). The groupby() method separates the DataFrame into groups.At first, let us import the pandas library with an alias pd −import pandas as pdInitialize the data of lists −# initializing the data mylist = {'Car': ['BMW', 'Mercedes', 'Lamborgini', 'Audi', 'Mercedes', 'Porche', 'RollsRoyce', 'BMW'], 'Place': ['Delhi', 'Hyderabad', 'Chandigarh', 'Bangalore', 'Hyderabad', 'Mumbai', 'Mumbai', 'Delhi'], 'Sold': [95, 80, 80, 75, 90, 90, 95, 50 ]}Next, we will create a DataFrame −# DataFrame dataFrame = pd.DataFrame(mylist, columns=['Car', 'Place', 'Sold'])Now, use the groupby() to count the occurrence with ...
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