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Articles on Trending Technologies
Technical articles with clear explanations and examples
Python – Incremental Slice concatenation in String list
When it is required to display incremental slice concatenation in string list, a simple iteration and list slicing is used.Below is a demonstration of the same −Examplemy_list = ['pyt', 'is', 'all', 'fun'] print("The list is :") print(my_list) my_result = '' for index in range(len(my_list)): my_result += my_list[index][:index + 1] print("The result is :") print(my_result)OutputThe list is : ['pyt', 'is', 'all', 'fun'] The result is : pisallfunExplanationA list is defined and displayed on the console.An empty string is created.The list is iterated over, and the element is concatenated with the consecutive element.This result is assigned to ...
Read MoreHow to divide data frame rows in R by row minimum?
To divide the data frame row values by row minimum in R, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame row values by row minimum.Create the data frameLet's create a data frame as shown below −x
Read MorePython – Sort Tuples by Total digits
When it is required to sort tuples by total digits, a method is defined that converts every element in the list to a string, and gets the length of each of these strings, and adds them up. This is displayed as result of the method.Below is a demonstration of the same −Exampledef count_tuple_digits(row): return sum([len(str(element)) for element in row]) my_tuple = [(32, 14, 65, 723), (13, 26), (12345, ), (137, 234, 314)] print("The tuple is :") print(my_tuple) my_tuple.sort(key = count_tuple_digits) print("The result is :") print(my_tuple)OutputThe tuple is : [(32, 14, 65, 723), (13, 26), (12345, ...
Read MoreHow to subset rows of an R data frame if any columns have values greater than a certain value?
To subset rows of an R data frame if any columns have values greater than a certain value, we can follow the below steps −First of all, create a data frame.Then, use filter_all function of dplyr package with any_vars function to subset the rows of the data frame for any columns having values greater than a certain value.Create the data frameLet's create a data frame as shown below −x1
Read MorePython – Extract Row with any Boolean True
When it is required to extract row with any Boolean True, a list comprehension is used along with the ‘any’ operator.Below is a demonstration of the same −Examplemy_tuple = [[False, True], [False, False], [True, False, True], [False]] print("The tuple is :") print(my_tuple) my_result = [row for row in my_tuple if any(element for element in row)] print("The result is ") print(my_result)OutputThe tuple is : [[False, True], [False, False], [True, False, True], [False]] The result is [[False, True], [True, False, True]]ExplanationA list of list is defined and displayed on the console.A list comprehension is used to check if any ...
Read MorePython – Sort Matrix by Maximum String Length
When it is required to sort matrix by maximum string length, a method is defined that takes a list as parameter and uses list comprehension and the ‘max’ and ‘len’ methods to determine the result.Below is a demonstration of the same −Exampledef max_length(row): return max([len(element) for element in row]) my_matrix = [['pyt', 'fun'], ['python'], ['py', 'cool'], ['py', 'ea']] print("The matrix is :") print(my_matrix ) my_matrix .sort(key=max_length) print("The result is :") print(my_matrix )OutputThe matrix is : [['pyt', 'fun'], ['python'], ['py', 'cool'], ['py', 'ea']] The result is : [['py', 'ea'], ['pyt', 'fun'], ['py', 'cool'], ['python']]ExplanationA method named ...
Read MoreHow to create a scatterplot with two legends using ggplot2 in R?
If we want to create a scatterplot with two legends then we must be having two categorical or factor columns. This can be done by using the below steps −Creating a data frame with two numerical and two categorical columnsCreating the scatterplot with shape and color argument of geom_point function of ggplot2 packageCreate the data frameLet's create a data frame as shown below −x
Read MorePython – Test for all Even elements in the List for the given Range
When it is required to test all even elements in the list for the given range, a simple iteration and the modulus operator is used.Below is a demonstration of the same −Examplemy_list = [32, 12, 42, 61, 58, 60, 19, 16] print("The list is :") print(my_list) i, j = 2, 7 my_result = True for index in range(i, j + 1): if my_list[index] % 2 : my_result = False break print("The result is :") if(my_result == True): print("All The elements are in the given range") else: ...
Read MoreHow to subset an R data frame based on numerical and categorical column?
Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame by excluding a column with the help of dplyr package, we can follow the below steps −Creating a data frame.Subsetting the data frame based on numerical as well as categorical column at the same time with the help of filter function of dplyr package.Create the data frameLet's create a data frame as shown below −Level
Read MorePython – Test String in Character List and vice-versa
When it is required to test string in character list and vice-versa, a simple ‘in’ operator and ‘join’ method are used.Below is a demonstration of the same −Examplemy_string = 'python' print("The string is :") print(my_string) my_key = ['p', 'y', 't', 'h', 'o', 'n', 't', 'e', 's', 't'] print("The key is ") print(my_key) joined_list = ''.join(my_key) my_result = my_string in joined_list print("The result is :") if(my_result == True): print("The string is present in the character list") else: print("The string is not present in the character list")OutputThe string is : python The key is ['p', 'y', ...
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