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Python Articles
Page 797 of 855
Python - Plotting an Excel chart with Gradient fills using XlsxWriter module
XlsxWriter is a Python library using which one can perform multiple operations on excel files like creating, writing, arithmetic operations and plotting graphs.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_gradient1.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 . # here we create bold format object . bold = workbook.add_format({'bold': 1}) # Add the worksheet data that the charts will refer ...
Read MorePython - Implementation of Polynomial Regression
Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an nth degree polynomial. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x)Example# Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset datas = pd.read_csv('data.csv') datas # divide the dataset into two components X = datas.iloc[:, 1:2].values y = datas.iloc[:, 2].values # Fitting Linear Regression to the dataset from sklearn.linear_model import LinearRegression lin = LinearRegression() lin.fit(X, y) ...
Read MorePython - Image Classification using keras
Image classification is a method to classify the images into their respective category classes using some method like −Training a small network from scratchFine tuning the top layers of the model using VGG16Example#First, include following libraries: # Importing all necessary libraries from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D from keras.layers import Activation, Dropout, Flatten, Dense from keras import backend as K #Here, the train_data_dir is the train dataset directory. validation_data_dir is the #directory for validation data. nb_train_samples is the total number train #samples. nb_validation_samples is the total number of validation samples. img_width, img_height = 224, 224 train_data_dir = ...
Read MorePython - How and where to apply Feature Scaling?
It is a step of Data pre-processing which is applied to independent variables or features of data. It basically helps to normalise the data within a particular range.Why scaling?Most of the times, your dataset will contain features highly varying in magnitudes, units and range. But since, most of the machine learning algorithms use Euclidian distance between two data points in their computations, this is a problem.If left alone, these algorithms only take in the magnitude of features neglecting the units. The results would vary greatly between different units, 5kg and 5000gms.The features with high magnitudes will weigh in a lot ...
Read MoreMaximum factors formed by two numbers in Python
We are given with an array of integer type elements and the task is to find the maximum factors formed by multiplying two numbers i.e. firstly we will multiply the numbers present in an array like calculating cross product secondly, we will calculate the factors of those numbers and check for the maximum factors amongst all.Inputint arr[] = {3, 2, 10}OutputMaximum factors formed by two numbers are: 8ExplanationCalculate the inner cross product i.e. 3 * 2 = 6, 3 * 10 = 30, 2 * 10 = 20Now calculate the factors for 6 -> 1, 2, 3, 6 ; 30 ...
Read MoreLongest Increasing Path in a Matrix in Python
Suppose we have one matrix; we have to find the length of the longest increasing path. From each cell, we can either move to four directions − left, right, up or down. We cannot move diagonally or move outside of the boundary.So, if the input is like994668211then the output will be 4 as the longest increasing path is [3, 4, 5, 6].To solve this, we will follow these steps −Define a function solve(). This will take i, j, matrixif dp[i, j] is non-zero, thenreturn dp[i, j]dp[i, j] := 1temp := 0for r in range i-1 to i+2, dofor c in ...
Read MoreTaking multiple inputs from user in Python
In this tutorial, we are going to learn how to take multiple inputs from the user in Python.The data entered by the user will be in the string format. So, we can use the split() method to divide the user entered data.Let's take the multiple strings from the user.Example# taking the input from the user strings = input("Enter multiple names space-separated:- ") # spliting the data strings = strings.split() # printing the data print(strings)OutputIf you run the above code, then you will get the following result.Enter multiple names space-separated:- Python JavaScript Django React ['Python', 'JavaScript', 'Django', 'React']What if we want ...
Read MoreTake Matrix input from user in Python
In this tutorial, we are going to learn how to take matric input in Python from the user. We can take input from the user in two different ways. Let's see two of them.Method 1Taking all numbers of the matric one by one from the user. See the code below.Example# initializing an empty matrix matrix = [] # taking 2x2 matrix from the user for i in range(2): # empty row row = [] for j in range(2): # asking the user to input the number # converts the input to ...
Read MoreStructuring Python Programs
In this tutorial, we are going to see some best practices for structuring the Python programs. Let's see one by oneUse a tab for indentationUsing a tab for indentation in the code make code more readable instead of using random spaces for multiple functions and methods. You can set the number of spaces for a tab in any code editors' settings.Example# example def sample(random): # statement 1 # statement 2 # ... return randomDon't write more than 79 characters in a lineWriting more than 79 characters in a line is not recommended Python. Avoid this by breaking line into multiple ...
Read MoreSQL using Python
In this tutorial, we are going to learn how to use SQL with Python using SQLite database. has a built-in module to connect with SQLite database. We are going to use sqlite3 module to connect Python and SQLite.We have to follow the below steps to connect the SQLite database with Python. Have a look at the steps and write the program.Import the sqlite3 module.Create a connection using the sqlite3.connect(db_name) the method that takes a database name is an argument. It creates one file if doesn't exist with the given name else it opens the file with the given name.Get the ...
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