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To return the highest index in the string where substring sub is found, use the numpy.char.rfind() method in Python Numpy. The method returns the output array of ints. Returns -1 if sub is not found. The first parameter is the input array. The second parameter is the substring to be searchedStepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'AmY', 'BRATleuATp'])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 Array Shape...", arr.shape)Get the number ... Read More
To return a boolean array which is True where the string element in array begins with prefix, use the numpy.char.startswith() method in Python Numpy. The method outputs an array of bools. The first parameter is the input array. The second parameter is the prefix. With optional start parameter, test beginning at that position. With optional end parameter, stop comparing at that position.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'KATE', 'KmY', 'BRAD'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", ... Read More
To return the lowest index in the string where substring sub is found, use the numpy.char.find() method in Python Numpy. The method returns the output array of ints. Returns -1 if sub is not found. The first parameter is the input array. The second parameter is the substring to be searchedStepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'KATE', 'AmY', 'BRADley'])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 Array Shape...", arr.shape)Get the ... Read More
To return a boolean array which is True where the string element in array ends with suffix, use the numpy.char.endswith() method in Python Numpy. The method outputs an array of bools. The first parameter is the input array. The second parameter is the suffix. With optional start parameter, test beginning at that position. With optional end parameter, stop comparing at that position.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'KATE', 'AmY', 'CRADlE'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", ... Read More
To test whether similar int type of different sizes are subdtypes of integer class, use the numpy.issubdtype() method in Python Numpy. The parameters are the dtype or object coercible to one.StepsAt first, import the required library −import numpy as npUsing the issubdtype() method in Numpy. Checking for integer datatype with different sizes −print("Result...", np.issubdtype(np.int16, np.signedinteger)) print("Result...", np.issubdtype(np.int32, np.signedinteger)) print("Result...", np.issubdtype(np.int64, np.signedinteger)) print("Result...", np.issubdtype(np.int16, np.integer)) print("Result...", np.issubdtype(np.int32, np.integer)) print("Result...", np.issubdtype(np.int64, np.integer))Exampleimport numpy as np # To test whether similar int type of different sizes are subdtypes of integer class, use the numpy.issubdtype() method in Python Numpy. # The parameters are ... Read More
The gradient is computed using second order accurate central differences in the interior points and either first or second order accurate one-sides (forward or backwards) differences at the boundaries. The returned gradient hence has the same shape as the input array. The 1st parameter, f is an Ndimensional array containing samples of a scalar function. The 2nd parameter is the varargs i.e. the spacing between f values. Default unitary spacing for all dimensions.The 3rd parameter is the edge_order{1, 2} i.e. the Gradient is calculated using N-th order accurate differences at the boundaries. Default: 1. The 4th parameter is the Gradient, ... Read More
To calculate the n-th discrete difference, use the numpy.diff() method. The first difference is given by out[i] = a[i+1] - a[i] along the given axis, higher differences are calculated by using diff recursively. The diff() method returns the n-th differences. The shape of the output is the same as a except along axis where the dimension is smaller by n. The type of the output is the same as the type of the difference between any two elements of a. This is the same as the type of a in most cases. A notable exception is datetime64, which results in ... Read More
To convert angles from degrees to radians, use the numpy.radians() method in Python Numpy. The method returns the corresponding radian values. This is a scalar if x is a scalar. The 1st parameter is an input array in degrees. The 2nd and 3rd parameters are optional.The 2nd parameter is an ndarray, A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The 3rd parameter ... Read More
The natural logarithm log is the inverse of the exponential function, so that log(exp(x)) = x. The natural logarithm is logarithm in base e. The method returns the natural logarithm of x, elementwise. This is a scalar if x is a scalar. The 1st parameter is the input value, array-like. The 2nd parameter is out, a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number ... Read More
String EfficiencyThe suspension insulator is the one which consists of a number of porcelain discs connected in series by metal links in the form of a string.The voltage applied across the string of the suspension insulators is not uniformly distributed across the various discs, i.e. the disc nearest to the line conductor has much higher potential than the other discs. This unequal potential distribution is undesirable and it is usually expressed in terms of string efficiency. Therefore, the string efficiency of the suspension type insulator is defined as follows −“The ratio of voltage across the whole string to the product ... Read More