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Python Articles
Page 774 of 852
Program 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 ...
Read MoreExplain how a violin plot can be visualized using factorplot function in Python?
The barplot function establishes the relationship between a categorical variable and a continuous variable. Data is represented in the form of rectangular bars where the length of the bar indicates the proportion of data in that specific category.Point plots are similar to bar plots but instead of representing the fill bar, the estimated value of the data point is represented by a point at a specific height on the other axis.Categorical data can be visualized using categorical scatter plots or two separate plots with the help of pointplot or a higher level function known as factorplot.The factorplot function draws a ...
Read MoreHow can RGB color space be converted to a different color space in Python?
Conversion of an image from one color space to another is usually used so that the newly achieved color space can prove as a better input to perform other operations on it. This includes separating hues, luminosity, saturation levels, and so on.When an image is represented using RGB representation, the hue and luminosity attributes are shown as a linear combination of channels R, G and B.When an image is representing using HSV representation (here, H represents Hue and V represents Value), RGB is considered as a single channel.Here’s the example to convert RGB color space to HSV −Exampleimport matplotlib.pyplot as ...
Read MoreHow can Seaborn library be used to display a hexbin plot in Python?
Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface. This interface helps in customizing and controlling the kind of data and how it behaves when certain filters are applied to it.Hexagonal binning can be used in the analysis of bivariate data. This occurs when the data is sparse, i.e. when the data is scattered unevenly. When the data is scattered unevenly, it gets difficult to capture all the data points in a scatterplot.This is where hexagonal binning comes into play. Let us understand how seaborn library can be used to ...
Read MoreHow can bar plot be used in Seaborn library in Python?
Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface.In previous plots, we plotted the entire dataset on the graph. With the help of bar plots, we can understand the central tendency of the distribution of data.The barplot function establishes the relationship between a categorical variable and a continuous variable. Data is represented in the form of rectangular bars where the length of the bar indicates the proportion of data in that specific category.Let us understand bar plots with the help of ‘titanic’ dataset −Exampleimport pandas as pd import seaborn as ...
Read MoreHow can box and whisker plot be used to compare the data in different categories in Python Seaborn?
Seaborn library helps in visualizing data. It comes with customized themes and a high level interface.Scatter plots provide limited information, since they only tell us about the distribution of values within a given category of data. We need to use a different technique if we wish to compare the data present within categories. This is where box plots come into play. It is a way in which the data distribution in the dataset can be understood with the help of quartiles.It consists of vertical lines that extend from the boxes. These extensions are known as whiskers. These whiskers talks about ...
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