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Python Articles
Page 725 of 855
Return a boolean array which is True where the string element in array ends with suffix in Python
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 first parameter is the input array. The second parameter is the suffix. The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_StepsAt first, import the required libraries −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 MoreGet the Inner product of two arrays in Python
To get the Inner product of two arrays, use the numpy.inner() method in Python. Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes. The parameters are 1 and b, two vectors. If a and b are nonscalar, their last dimensions must match.StepsAt first, import the required libraries −import numpy as npCreating two numpy One-Dimensional array using the array() method −arr1 = np.array([5, 10, 15]) arr2 = np.array([20, 25, 30])Display the arrays −print("Array1...", arr1) print("Array2...", arr2)Check the Dimensions of both the arrays −print("Dimensions of Array1...", arr1.ndim) print("Dimensions of Array2...", arr2.ndim)Check the Shape ...
Read MoreReturn the result of the power to which the negative input value is raised with scimath in Python
To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned.If x contains negative values, the output is converted to the complex domain. The parameter x is the input value. The parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ...
Read MoreReturn the result of the power to which the input value is raised with scimath in Python
To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input valueThe parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ...
Read MoreCompute the natural logarithm with scimath in Python
To compute the natural logarithm with scimath, use the np.emath.log() method in Python Numpy. The method returns the log of the x value(s). If x was a scalar, so is out, otherwise an array is returned. The 1st parameter, x is the value(s) whose log is (are) required.StepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([np.inf, -np.inf, np.exp(1), -np.exp(1)]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array object...", arr.dtype)Get the Shape −print("Shape of our Array object...", arr.shape) ...
Read MoreCompute the square root of negative input with emath in Python
To compute the square root of input, use the scimath.sqrt() method in Python Numpy. The method returns the square root of x. If x was a scalar, so is out, otherwise an array is returned. The parameter x is the input value. For negative input elements, a complex value is returnedStepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([1, -4, -9, 16, -25, 36]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array object...", arr.dtype)Get the Shape −print("Shape ...
Read MoreReturn the real part of the complex argument in Python
To return the real part of the complex argument, use the numpy.real() method in Python. The method returns the real component of the complex argument. If val is real, the type of val is used for the output. If val has complex elements, the returned type is float. The 1st parameter, val is the input arrayStepsAt first, import the required libraries −import numpy as npCreate an array using the array() method −arr = np.array([56.+0.j , 27.+0.j , 68.+0.j , 23.+0.j]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array ...
Read MoreCompute the square root of input with emath in Python
To compute the square root of input, use the scimath.sqrt() method in Python Numpy. The method returns the square root of x. If x was a scalar, so is out, otherwise an array is returned. The parameter x is the input value. For negative input elements, a complex value is returnedStepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([1, 4, 9, 16, 25, 36]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array object...", arr.dtype)Get the Shape −print("Shape ...
Read MoreReturn real parts if input is complex with all imaginary parts close to zero in Python
To return real parts if input is complex with all imaginary parts close to zero, use the numpy.real_if_close in Python. “Close to zero” is defined as tol * (machine epsilon of the type for a). If a is real, the type of a is used for the output. If a has complex elements, the returned type is float. The 1st parameter is a, the input array. The 2nd parameter is tol, Tolerance in machine epsilons for the complex part of the elements in the array.StepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() ...
Read MoreReplace NaN with zero and fill positive infinity for complex input values in Python
To replace NaN with zero and infinity with large finite numbers, use the numpy.nan_to_num() method. The method returns, x, with the non-finite values replaced. If copy is False, this may be x itself. The 1st parameter is the input data. The 2nd parameter is copy, whether to create a copy of x (True) or to replace values in-place. The in-place operation only occurs if casting to an array does not require a copy. Default is True.The 3rd parameter is nan, the value to be used to fill NaN values. If no value is passed then NaN values will be replaced ...
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