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Python Articles
Page 784 of 855
Running Selenium Webdriver with a proxy in Python.
We can run a proxy with Selenium webdriver in Python. A proxy is an essential component to do localization testing. We can take an e-commerce application and check if the language and currency visible is as per the user location.With the help of proxy within tests, we can verify if the website user interface matches with the location. We have to SET a proxy with below steps −Import webdriver from Selenium package.Define proxy server address.Create an object of ChromeOptions classCommunication of proxy with ChromeOptions.Summing options to Chrome() object.ExampleCode Implementation.from selenium import webdriver #proxy server definition py = "128.21.0.0:8080" #configure ChromeOptions ...
Read MoreProgram to Find Out the Special Nodes in a Tree in Python
Suppose we have a 2D list of values called 'tree' which represents an n-ary tree and another list of values called 'color'. The tree is represented as an adjacency list and its root is tree[0].The characteristics of an i-th node −tree[i] is its children and parent.color[i] is its color.We call a node N "special" if every node in the subtree whose root is at N has a unique color. So we have this tree, we have to find out the number of special nodes.So, if the input is like tree = [ [1, 2], [0], [0, 3], ...
Read MoreProgram to find minimum string size that contains given substring in Python
Suppose we have two strings s and t, we have to find the size of a minimum substring in s that contains all the characters of t. If there is no such substring exists then return -1.So, if the input is like s = "thegrumpywizardmakes" t = "wake", then the output will be 10, as the shortest substring that contains "wake" is "wizardmake" (length of 10).To solve this, we will follow these steps −counter := frequency of each character in bstart := 0min_subs := infrem := count of distinct characters in bfor end in range 0 to size of a, ...
Read MoreProgram to find largest binary search subtree from a given tree in Python
Suppose we have a binary tree, we have to find the largest subtree (with maximum number of nodes) as binary search tree.So, if the input is likethen the output will beTo solve this, we will follow these steps −max_size := [0]max_node := [null]Define a function traverse() . This will take nodeif node is null, thenreturn nullleft := traverse(left of node)right := traverse(right of node)lst := left + [value of node] + rightif lst is sorted, thenif max_size[0] < size of lst, thenmax_size[0] := size of lstmax_node[0] := nodereturn lsttraverse(root)From the main method return max_node[0]Example (Python)Let us see the following implementation ...
Read MoreProgram to count number of sublists with exactly k unique elements in Python
Suppose we have a list of numbers called nums and another value k, we have to find the number of sublists required that there are exactly k unique numbers in the sublist.So, if the input is like nums = [2, 2, 3, 4] k = 2, then the output will be 3, as we have the sublists like: [2, 2, 3], [2, 3], [3, 4].To solve this, we will follow these steps −Define a function count() . This will take Kslot := an empty map, by default all values are 0i := res := 0for each index j, and value ...
Read MoreProgram to find nth term of a sequence which are divisible by a, b, c in Python
Suppose we have four numbers n, a, b, and c. We have to find the nth (0 indexed) term of the sorted sequence of numbers divisible by a, b or c.So, if the input is like n = 8 a = 3 b = 7 c = 9, then the output will be 18, as The first 9 terms of the sequence are [1, 3, 6, 7, 9, 12, 14, 15, 18].To solve this, we will follow these steps −if minimum of a, b, c is same as 1, thenreturn nab := lcm(a, b), bc := lcm(b, c), ca := ...
Read MoreHow can a specific tint be added to grayscale images in scikit-learn in Python?
The values of ‘R’, ‘G’, and ‘B’ are changed and applied to the original image to get the required tint.Below is a Python program that uses scikit-learn to implement the same. Scikit-learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms −Exampleimport matplotlib.pyplot as plt from skimage import data from skimage import color path = "path to puppy_1.jpg" orig_img = io.imread(path) grayscale_img = rgb2gray(orig_img) image = color.gray2rgb(grayscale_img) red_multiplier = [0.7, 0, 0] yellow_multiplier = [1, 0.9, 0] fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4), sharex=True, sharey=True) ax1.imshow(red_multiplier * image) ...
Read MoreHow can scikit learn library be used to upload and view an image in Python?
Pre-processing data refers to cleaning of data, removing invalid data, noise, replacing data with relevant values and so on. This doesn’t always mean text data; it could also be images or video processing as well.Data pre-processing basically refers to the task of gathering all the data (which is collected from various resources or a single resource) into a common format or into uniform datasets (depending on the type of data). Since real-world data is never ideal, there is a possibility that the data would have missing cells, errors, outliers, discrepancies in columns, and much more.Sometimes, images may not be correctly ...
Read MoreHow can a polynomial regression model be fit to understand non-linear trends in data in Python?
When regression models are being built, multicollinearity is checked for. This is because we need to understand the correlation present between all different combinations of continuous variables. If multicollinearity exists between the variables, we have to make sure that it is removed from the data.The data in real world is usually non-linear. We need to find mechanisms to fit such non-linear data to the model. We will be using Anscombe’s dataset to visualize this data.The ‘implot’ function is used with non-linear data −Exampleimport pandas as pd import seaborn as sb from matplotlib import pyplot as plt my_df = sb.load_dataset('anscombe') sb.lmplot(x ...
Read MoreHow can 'implot' function be used to fit values to data if one of the variables is a discrete value in Python?
When regression models are being built, multicollinearity is checked for. This is because we need to understand the correlation present between all different combinations of continuous variables. If multicollinearity exists between the variables, we have to make sure that it is removed from the data.This is where functions ‘regpot’ and ‘implot’ come into play. They help visualize a linear relationship between variables in linear regression.The ‘regplot’ function accepts values for variables ‘x’ and ‘y’ in a variety of formats, and this includes numpy arrays, pandas series objects, references to variables or values from a pandas dataframe.On the other hand, the ...
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