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Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface.Kernel Density Estimation, also known as KDE is a method in which the probability density function of a continuous random variable can be estimated. This method is used for the analysis of the non-parametric values. While using ‘jointplot’, if the argument ‘kind’ is set to ‘kde’, it plots the kernel density estimation plot.Let us understand how the ‘jointplot’ function works to plot a kernel density estimation in python.Exampleimport pandas as pd import seaborn as sb from matplotlib import pyplot as plt my_df ... Read More
Scikit-learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms.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 with RGB color space is tried to be converted to grayscale, ... Read More
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 More
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 More
Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface.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 ... Read More
Seaborn is a library that helps in visualizing data. This interface helps in customizing and controlling the kind of data and how it behaves when certain filters are applied to it.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.Point plots are similar to bar plots but instead of representing the fill bar, the estimated value ... Read More
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.A special case of barplot is the countplot that shows the number of observations in every category with respect ... Read More
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 More
Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface.Violin plot is a combination of box plot with kernel density estimates (KDE). It is easier to analyse and understand how the data has been distributed. The wide portion of the violin indicates the higher density of data. The narrow portion of the violin indicates the lower density of data.The inter-quartile range within a boxplot and the higher density portion of data fall within the same region in every category.Syntax of violinplot functionseaborn.violinplot(x, y, hue, data, …)Let us see how a split ... Read More
If we wish to compare the data present within categories, 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 tells about how the data varies outside the upper and lower quartiles. This is why box plots are also known as whisker plots. Outliers in the data are plotted as individual points.Violin plot is a combination of box plot with kernel density estimates (KDE). It is easier ... Read More