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Technical articles with clear explanations and examples
Return the variance of the masked array elements along column axis in Numpy
To return the variance of the masked array elements, use the ma.MaskedArray.var() in Numpy. The axis is set using the axis parameter. The axis is set to 0, for column axis.Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.The “axis” parameter is the axis or axes along which the variance is computed. The default is to compute the variance of the flattened array. If this is a tuple of ints, a variance is performed over multiple axes, instead of ...
Read MoreReturn the variance of the masked array elements along row axis
To return the variance of the masked array elements, use the ma.MaskedArray.var() in Numpy. The axis is set using the axis parameter. The axis is set to 1, for row axisReturns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.The “axis” parameter is the axis or axes along which the variance is computed. The default is to compute the variance of the flattened array. If this is a tuple of ints, a variance is performed over multiple axes, instead of ...
Read MoreCompare and return True if an array is greater than another array in Numpy
To compare and return True if an array is greater than another array, use the numpy.char.greater() method in Python Numpy.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.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', 'aaa']) arr2 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])Display the arrays −print("Array 1...", arr1) print("Array 2...", arr2)Get the type of the arrays −print("Our ...
Read MoreReturn the underlying data as a view of the masked array in Numpy
To return the underlying data, as a view of the masked array, use the ma.MaskedArray.data in Python Numpy.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 4x4 array with int elements using the numpy.arange() method −arr = np.arange(16).reshape((4, 4)) print("Array...", arr) print("Array type...", arr.dtype)Get the dimensions ...
Read MoreReturn the mask of a masked array in Numpy
To return the mask of a masked array, use the ma.getmask() method in Python Numpy. Returns the mask of a as an ndarray if a is a MaskedArray and the mask is not nomask, else return nomask. To guarantee a full array of booleans of the same shape as a, use getmaskarray.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 ...
Read MoreCount the number of masked elements along axis 1 in Numpy
To count the number of masked elements along axis 1, use the ma.MaskedArray.count_masked() method. The axis is set using the "axis" parameter. The method returns the total number of masked elements (axis=None) or the number of masked elements along each slice of the given axis.The axis parameter is the axis along which to count. If None (default), a flattened version of the array is used.StepsAt first, import the required library −import numpy as np import numpy.ma as maCreating a 4x4 array with int elements using the numpy.arange() method −arr = np.arange(16).reshape((4, 4)) print("Array...", arr) print("Array type...", arr.dtype)Get the dimensions of ...
Read MoreReturn the mask of a masked array or full boolean array of False in Numpy
To return the mask of a masked array, or full boolean array of False, 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 ...
Read MoreHow to check if a string contains a substring in Golang?
We know that substrings are a contiguous sequence of characters in a string, and in order to check whether a string contains a substring, we have two options available.The first approach is to use a built-in function called Contains() and the second approach is to make use a self-written logic for the same.The syntax for the Contains() function of the strings package is shown below.func Contains(s, substr string) boolIn the above syntax, there are two parameters inside the function Contains(). The first parameter is the string in which we are trying to find the pattern, and the second is the ...
Read MoreHow to check if a key exists in a map in Golang?
We know that maps in Go contain key-value pairs. There are often instances where we would want to know that a certain key exists in a map or not, in such cases, we have two options available.The first approach is very naive, as in this approach, we basically iterate over the map with the help of the range clause and then compare each key to the key that we want to check if is available or not.And the second approach is a bit better, as we make use of the if statement with a bit of syntactic sugar.Let's first check ...
Read MoreHow to check if a slice contains an element in Golang?
Many languages do provide a method similar to indexOf() where one can find the existence of a particular element in an array-like data structure. However, in Golang, there's no such method and we can simply implement it with the help of a for-range loop.Let's suppose we have a slice of strings, and we want to find out whether a particular string exists in the slice or not.Example 1Consider the code shown below.package main import ( "fmt" ) func Contains(sl []string, name string) bool { for _, value := range sl { if value == name ...
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