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A list is a collection which is ordered and changeable. In Python lists are written with square brackets. You access the list items by referring to the index number. Negative indexing means beginning from the end, -1 refers to the last item. You can specify a range of indexes by specifying where to start and where to end the range. When specifying a range, the return value will be a new list with the specified items.Example Live Demo# List initialization Input = [100.7689454, 17.232999, 60.98867, 300.83748789] # Using list comprehension Output = ["%.2f" % elem for elem in Input] # Printing ... Read More
A list is a collection which is ordered and changeable. In Python lists are written with square brackets. You access the list items by referring to the index number. Negative indexing means beginning from the end, -1 refers to the last item. You can specify a range of indexes by specifying where to start and where to end the range. When specifying a range, the return value will be a new list with the specified items.Example Live Demo# using chain.from_iterables # import chain from itertools import chain ini_list = [[1, 2, 3], [3, 6, 7], [7, 5, 4]] ... Read More
Usually, we require to find the index, in which the particular value is located. There are many method to achieve that, using index() etc. But sometimes require to find all the indices of a particular value in case it has multiple occurrences in list.Example Live Demo# using filter() # initializing list test_list = [1, 3, 4, 3, 6, 7] # printing initial list print ("Original list : " + str(test_list)) # using filter() # to find indices for 3 res_list = list(filter(lambda x: test_list[x] == 3, range(len(test_list)))) # printing resultant list print ("New indices list : " + str(res_list)) ... Read More
A list is a collection which is ordered and changeable. In Python lists are written with square brackets. You access the list items by referring to the index number. Negative indexing means beginning from the end, -1 refers to the last item. You can specify a range of indexes by specifying where to start and where to end the range. When specifying a range, the return value will be a new list with the specified items.Example Live Demo# triplets from list of words. # List of word initialization list_of_words = ['I', 'am', 'Vishesh', 'and', 'I', 'like', 'Python', 'programming'] # Using list comprehension ... Read More
String literals in python are surrounded by either single quotation marks, or double quotation marks. Assigning a string to a variable is done with the variable name followed by an equal sign and the string. You can assign a multiline string to a variable by using three quotes.Example Live Demo# array of strings to array of floats using astype import numpy as np # initialising array ini_array = np.array(["1.1", "1.5", "2.7", "8.9"]) # printing initial array print ("initial array", str(ini_array)) # conerting to array of floats # using np.astype res = ini_array.astype(np.float) # printing final result print ("final array", str(res)) # ... Read More
OpenCV-Python is a library of Python bindings designed to solve computer vision problems. OpenCV-Python makes use of Numpy, which is a highly optimized library for numerical operations with a MATLAB-style syntax. All the OpenCV array structures are converted to and from Numpy arrays.Example# read image as RGB # Importing cv2 and matplotlib module import cv2 import matplotlib.pyplot as plt # reads image as RGB img = cv2.imread('download.png') # shows the image plt.imshow(img) # read image as GrayScale # Importing cv2 module import cv2 # Reads image as gray scale img = cv2.imread('download.png', 0) # We can alternatively convert # image by using cv2color img = cv2.cvtColor(img, ... Read More
Python is an object-oriented programming language. Almost everything in Python is an object, with its properties and methods. A Class is like an object constructor, or a "blueprint" for creating objects.The variables that are defined outside the class can be accessed by any class or any methods in the class by just writing the variable name.Example# defined outside the class' # Variable defined outside the class. outVar = 'outside_class' print("Outside_class1", outVar) ''' Class one ''' class Ctest: print("Outside_class2", outVar) def access_method(self): print("Outside_class3", outVar) # Calling method by creating object uac = Ctest() uac.access_method() ... Read More
Python provides many ways to create 2-dimensional lists/arrays. However, one must know the differences between these ways because they can create complications in code that can be very difficult to trace out.Example Live Demorows, cols = (5, 5) arr = [[0]*cols]*rows #lets change the first element of the 1st row to 1 & print the array arr[0][0] = 1 for row in arr: print(row) arr = [[0 for i in range(cols)] for j in range(rows)] #again in this new array lets change the 1st element of the first row # to 1 and print the array arr[0][0] = 1 for row in arr: print(row)Output[1, 0, 0, 0, 0] [1, 0, 0, 0, 0] [1, 0, 0, 0, 0] [1, 0, 0, 0, 0] [1, 0, 0, 0, 0] [1, 0, 0, 0, 0] [0, 0, 0, 0, 0] [0, 0, 0, 0, 0] [0, 0, 0, 0, 0] [0, 0, 0, 0, 0]
A list is a collection which is ordered and changeable. In Python lists are written with square brackets. You access the list items by referring to the index number. Negative indexing means beginning from the end, -1 refers to the last item. You can specify a range of indexes by specifying where to start and where to end the range. When specifying a range, the return value will be a new list with the specified items.Example Live Demo# using list comprehension + sum() + list slicing # initializing list test_list = [3, 4, 1, 7, 9, 1] # printing original list print("The ... Read More
A scatter plot is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded, one additional variable can be displayed.Example# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument which is the filename #that we want to create. workbook = xlsxwriter.Workbook('chart_scatter.xlsx') # The workbook object is then used to add new worksheet via the #add_worksheet() method. worksheet = workbook.add_worksheet() # Create a new Format object to formats cells in worksheets using #add_format() method . # ... Read More