Read a File into a String in Go

Mukul Latiyan
Updated on 21-Feb-2022 06:24:17

9K+ Views

To read a file into a string, we need to make use of the io/ioutil package that Go's standard library provides us with.Inside the io/ioutil package, there's a function called ReadFile() which is used to open a file and then convert its contents into a slice of bytes, and if for some reason, it isn't able to do so, then it will return an error too.Here is the syntax of the ReadLine() function.func ReadFile(filename string) ([]byte, error)It should be noted that if the above function has made a successful call, then it will return err == nil, not err == ... Read More

Parse JSON Files in Golang

Mukul Latiyan
Updated on 21-Feb-2022 06:19:53

10K+ Views

Suppose we want to read a JSON file in Go. By reading, we mean that we want to convert the file data into a struct in Go.Consider the JSON file shown below that we will use to read and then convert the data into the structure.{    "users": [       {          "name": "Mukul Latiyan",          "social": {             "facebook": "https://facebook.com/immukul",             "twitter": "https://twitter.com/immukul",             "linkedin": "https://linkedin.com/immukul"          }       },   ... Read More

Compute Bit-wise AND of One-Dimensional and Zero-Dimensional Arrays in NumPy

AmitDiwan
Updated on 18-Feb-2022 11:54:16

110 Views

To compute the bit-wise AND of a 1D and a 0D array element-wise, use the numpy.bitwise_and() method in Python Numpy. Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape. The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array ... Read More

Return Data of a Masked Array as ndarray

AmitDiwan
Updated on 18-Feb-2022 11:51:50

226 Views

To return the data of a masked array as an ndarray, use the ma.getdata() method in Python Numpy. Returns the data of a (if any) as an ndarray if a is a MaskedArray, else return a as a ndarray or subclass if not.The subok parameter suggest whether to force the output to be a pure ndarray (False) or to return a subclass of ndarray if appropriate (True, default).A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans ... Read More

Return Mask of a Masked Array When Mask is Equal to NoMask

AmitDiwan
Updated on 18-Feb-2022 11:48:53

127 Views

To return the mask of a masked array, use the ma.getmaskarray() method in Python Numpy. Returns the mask of arr as an ndarray if arr is a MaskedArray and the mask is not nomask, else return a full boolean array of False of the same shape as arr.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.StepsAt first, import the required ... Read More

Compute Bitwise AND of 1D and 2D Arrays Element-wise in NumPy

AmitDiwan
Updated on 18-Feb-2022 11:44:28

233 Views

To compute the bit-wise AND of a 1D and a 2D array element-wise, use the numpy.bitwise_and() method in Python Numpy.Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain ... Read More

Compute Bit-wise AND of Two 1D NumPy Arrays Element-wise

AmitDiwan
Updated on 18-Feb-2022 11:41:54

161 Views

To compute the bit-wise AND of two 1D arrays element-wise, use the numpy.bitwise_and() method in Python Numpy. Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original ... Read More

Compute Bitwise AND of Two 2D Arrays Element-wise in NumPy

AmitDiwan
Updated on 18-Feb-2022 11:39:01

665 Views

To compute the bit-wise AND of two 2D arrays element-wise, use the numpy.bitwise_and() method in Python Numpy. Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original ... Read More

Determine if Input is an Instance of a NumPy Masked Array

AmitDiwan
Updated on 18-Feb-2022 11:35:51

149 Views

To determine whether input is an instance of masked array, use the ma.isMaskedArray() method in Python Numpy. This function returns True if x is an instance of MaskedArray and returns False otherwise. Any object is accepted as input.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.StepsAt first, import the required library −import numpy as np import numpy.ma as maCreating a ... Read More

Determine Whether Input Has Masked Values

AmitDiwan
Updated on 18-Feb-2022 11:33:02

2K+ Views

To determine whether input has masked values, use the ma.is_masked() method in Python Numpy. Accepts any object as input, but always returns False unless the input is a MaskedArray containing masked values. Returns True if the array is a MaskedArray with masked values, False otherwise.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.StepsAt first, import the required library −import numpy ... Read More

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