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Programming Articles
Page 2202 of 2547
Node.js – util.types.isBigInt64Array() Method
The util.types.isBigInt64Array() method checks whether the passed value is a BigInt64Array instance or not. If the above condition is satisfied, it returns True, else False.Syntaxutil.types.isBigInt64Array(value)Parametersvalue − This input value takes input for the required parameter and checks if it's a BigInt64 array instance or not.It returns True or False based upon the input value passed.Example 1Create a file named "isBigInt64Array.js" and copy the following code snippet. After creating the file, use the command "node isBigInt64Array.js" to run this code.// util.types.isBigInt64Array() Demo Example // Importing the util module const util = require('util'); // Functions to be passed as parameter // ...
Read MoreNode.js – util.isDeepStrictEqual() Method
The util.isDeepStrictEqual() method as the name suggests, is used for checking whether the two values are deep strict equal or not. If both the values are deep strict equal, true is returned else it returns false.Syntaxutil.isDeepStrictEqual(val1, val2)Parametersval1 & val2 – Both the input parameters can accept class, function, object or a JavaScript primitive value. The above function checks the equality between these two values.Example 1Create a file with the name "deepStrictEqual.js" and copy the following code snippet. After creating the file, use the command "node deepStrictEqual.js" to run this code.// util.isDeepStrictEqual() Demo Example // Importing the util module const util = require('util'); ...
Read MoreNode.js – util.types.isBoxedPrimitive() Method
The util.types.isBoxedPrimitive() method checks whether the passed value is a built-in Primitive object or not. If the above condition is satisfied, it returns True, else False. Primitive object includes new Boolean(), new String() or Object(Symbol()).Syntaxutil.types.isBoxedPrimitive(value)Parametersvalue − This input value takes input for the required parameter and checks if it's a Float32-Array instance or not.It returns True or False based upon the input value passed.Example 1Create a file with the name "isBoxedPrimitive.js" and copy the following code snippet. After creating the file, use the command "node isBoxedPrimitive.js" to run this code.// util.types.isBoxedPrimitive() Demo Example // Importing the util module const util ...
Read MoreNode.js – util.callbackify() Method
The util.callbackify() method takes an async function as a parameter (or a function with Promise) and returns a function with the callback style. The callback will hold the rejection reason as the first parameter (or null in case of Promise) and the resolved value as the second parameter.Syntaxutil.callbackify(function)Parametersfunction − The input parameter for the async_function required for callback.Example 1Create a file "callbackify.js" and copy the following code snippet. After creating the file, use the command "node callbackify.js" to run this code.// util.callbackify() demo example // Importing the util module const util = require('util'); // Defining a simple async function ...
Read MoreNode.js – hash.copy() Method
The Hash class is one of the many utility classes that is used for creating the hash digests of data. The hash.copy() method creates a new Hash object that will contain a deep copy of the internal state of the current hash object.Syntaxhash.copy([options])Parametersoptions −This input parameter takes input to control the stream behaviour and therefore will contain the stream.tranformOptions.Example 1Create a file "hashCopy.js" and copy the following code snippet. After creating the file, use the command "node hashCopy.js" to run this code.// hash.update() demo Example // Importing the crypto module const crypto = require('crypto'); // Defining the hash ...
Read MoreHow to create a correlation matrix by a categorical column in data.table object in R?
To create a correlation matrix by a categorical column in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, find the correlation matrix by splitting the object based on categorical column.Create the data.table objectLoading data.table package and creating a data.table object −library(data.table) x
Read MoreWhat are the different color palettes we have in RColorBrewer package?
The different color palettes can be found by using display.brewer.all() function. Each of the palette has different colors. There are three types of palettes defined with names equential, diverging, and qualitative. They are defined for specific uses as written below −Sequential palettes are suited to ordered data that progress from low to high.Diverging palettes put equal emphasis on mid-range critical values and extremes at both ends of the data range.Qualitative palettes are best suited to representing nominal or categorical data.Find the color palettes in RColorBrewer packageInstalling and Loading RColorBrewer package and finding the different color palettes −install.packages("RColorBrewer") library(RColorBrewer) display.brewer.all()On executing, ...
Read MoreHow to randomize column values of a data.table object for all columns in R?
To randomize column values of a data.table object for all columns in R, we can follow the below steps −First of all, create a data.table object.Then, use sample function with lapply to randomize the columns of the data.table object.Create the data frameLet's create a data frame as shown below −library(data.table) x
Read MoreHow to add values in columns having same name and merge them in R?
To add values in columns having same name and merge them in R, we can follow the below steps −First of all, create a data frame.Add column values that have same name and merge them by using cbind with do.call.Create the data frameLet's create a data frame as shown below −df
Read MoreHow to change the color of line of a plot created for an xts object in R?
To change the color of line of a plot created for an xts object in R, we can follow the below steps −First of all, create a data frame.Then, convert this data frame into an xts object.Create the plot for the data in xts object with default color.Then, create the plot for the data in xts object with different colorCreate the data frameLet's create a data frame as shown below −Dates
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