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To convert masked array to float type, use the ma.MaskedArray.__float__() method in Numpy. 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 maCreate an array using the numpy.array() method −arr = np.array([30]) print("Array...", arr) print("Array type...", arr.dtype)Get the dimensions of the Array −print("Array Dimensions...", arr.ndim)Create a masked array −maskArr = ma.masked_array(arr, mask =[False]) print("Our Masked Array", maskArr) print("Our Masked Array type...", ... Read More
To get the imaginary part from the masked array, use the ma.MaskedArray.imag attribute in Numpy. This property is a view on the imaginary part of this MaskedArray.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 an array of complex number elements using the numpy.array() method −arr = np.array([68.+4.j , 49.+7.j , 120.+2.j , 64.+0.j]) print("Array..", arr) print("Get the imaginary part", ... Read More
To get the Tuple of bytes to step in each dimension when traversing an array, use the ma.MaskedArray.strides attribute in Numpy. The byte offset of element (i[0], i[1], ..., i[n]) in an array a is −offset = sum(np.array(i) * a.strides)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 maCreate an array using the numpy.array() method −arr = np.array([[35, 85], [67, 33]]) ... Read More
To get the total bytes consumed by the masked array, use the ma.MaskedArray.nbytes attribute in Numpy. Does not include memory consumed by non-element attributes of the array object.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 maCreate an array using the numpy.array() method −arr = np.array([[35, 85], [67, 33]]) print("Array...", arr) print("Array type...", arr.dtype) print("Array itemsize...", arr.itemsize)Get the dimensions of the ... Read More
To compare and return True if two string arrays are equal, use the numpy.char.equal() method in Python Numpy. The arr1 and arr2 are the two input string arrays of the same shape. Unlike numpy.equal, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarrayThe numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_StepsAt first, import the required library −import numpy as npCreate two One-Dimensional arrays of string −arr1 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad']) arr2 = np.array(['Cio', 'Tom', 'Cena', ... Read More
To return the numeric string left-filled with zeros, use the numpy.char.zfill() method in Python Numpy. Here, The 1st parameter is the inout arrayThe 2nd parameter is the "width" i.e. the width of string to left-fill elements in arrayThe numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of string −arr = np.array(['Tom', 'John', 'Kate', 'Amy', 'Brad']) Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", arr.ndim)Get the shape of the Array −print("Our ... Read More
We know that goroutines can be a bit tricky at first, and often we find cases where the main goroutines will exit without giving a chance to the inside goroutines to execute.In order to be able to run the goroutines until the finish, we can either make use of a channel that will act as a blocker or we can use waitGroups that Go's sync package provides us with.Let's first explore a case where we have a single goroutines that we want to finish and then do some other work.Example 1Consider the code shown below.package main import ( "fmt" ... Read More
Whenever we talk about appending elements to a slice, we know that we need to use the append() function that takes a slice as the first argument and the values that we want to append as the next argument.The syntax looks something like this.sl = append(sl, 1)Instead of appending a single number to the slice "sl", we can append multiple values in the same command as well.Consider the snippet shown below.sl = append(sl, 1, 2, 3, 4)The above code will work fine in Go.When it comes to appending a slice to another slice, we need to use the variadic function ... Read More
The standard library of Golang provides a package that we can use if we want to sort arrays, slices, or even custom types. In this article, we will discover three main functions that we can use if we want to sort a slice in Golang. We will also see how we can create a custom sort function and custom comparator.Let's first check how we can sort a slice of integer, float64 and string values.ExampleConsider the code shown below.package main import ( "fmt" "sort" ) func main() { integerSlice := []int{3, 2, 14, 9, 11} sort.Ints(integerSlice) ... Read More
Iota in Go is used to represent constant increasing sequences. When repeated in a constant, its value gets incremented after each specification. In this article, we will explore the different ways in which we can use iota in Go.Let's first consider a very basic example, where we will declare multiple constants and use iota.Example 1Consider the code shown belowpackage main import ( "fmt" ) const ( first = iota second = iota third = iota ) func main() { fmt.Println(first, second, third) }OutputIf we run the command go run main.go, then we will get the ... Read More