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Python Articles
Page 726 of 855
Replace NaN with zero and fill negative infinity values in Python
To replace NaN with zero and infinity with large finite numbers, use the numpy.nan_to_num() method in Python. 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 (False). 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 ...
Read MoreReturn the discrete linear convolution of two one-dimensional sequences in Python
To return the discrete linear convolution of two one-dimensional sequences, use the numpy.convolve() method in Python Numpy.The convolution operator is often seen in signal processing, where it models the effect of a linear time-invariant system on a signal. In probability theory, the sum of two independent random variables is distributed according to the convolution of their individual distributions. If v is longer than a, the arrays are swapped before computation. The method returns the Discrete, linear convolution of a and v. The 1st parameter, a is the first one-dimensional input array. The 2nd parameter, v is the second one-dimensional input ...
Read MoreConvert a polynomial to a Chebyshev series in Python
To convert a polynomial to a Chebyshev series, use the chebyshev.poly2cheb() method in Python Numpy. Convert an array representing the coefficients of a polynomial ordered from lowest degree to highest, to an array of the coefficients of the equivalent Chebyshev series, ordered from lowest to highest degree. The method returns a 1-D array containing the coefficients of the equivalent Chebyshev series. The parameter c, is a 1-D array containing the polynomial coefficientsStepsAt first, import the required library −import numpy as np from numpy import polynomial as PCreate an array using the numpy.array() method −c = np.array([1, 2, 3, 4, 5])Display ...
Read MoreConvert a Chebyshev series to a polynomial in Python
To convert a Chebyshev series to a polynomial, use the chebyshev.cheb2poly() method in Python Numpy. Convert an array representing the coefficients of a Chebyshev series, ordered from lowest degree to highest, to an array of the coefficients of the equivalent polynomial (relative to the “standard” basis) ordered from lowest to highest degree.The method returns a 1-D array containing the coefficients of the equivalent polynomial ordered from lowest order term to highest. The parameter c, is a 1-D array containing the Chebyshev series coefficients, ordered from lowest order term to highest.StepsAt first, import the required library −import numpy as np from ...
Read MoreRemove small trailing coefficients from Chebyshev polynomial in Python
To remove small trailing coefficients from Chebyshev polynomial, use the chebyshev.chebtrim() method in Python Numpy. The method returns a 1-d array with trailing zeros removed. If the resulting series would be empty, a series containing a single zero is returned.The “Small” means “small in absolute value” and is controlled by the parameter tol; “trailing” means highest order coefficient(s), e.g., in [0, 1, 1, 0, 0] (which represents 0 + x + x**2 + 0*x**3 + 0*x**4) both the 3-rd and 4-th order coefficients would be “trimmed.” The parameter c is a 1-d array of coefficients, ordered from lowest order to ...
Read MoreEvaluate a Hermite series at points x when coefficients are multi-dimensional in Python
To evaluate a Hermite series at points x, use the hermite.hermval() method in Python Numpy. The 1st parameter, x, if x is a list or tuple, it is converted to an ndarray, otherwise it is left unchanged and treated as a scalar. In either case, x or its elements must support addition and multiplication with themselves and with the elements of c.The 2nd parameter, C, an array of coefficients ordered so that the coefficients for terms of degree n are contained in c[n]. If c is multidimensional the remaining indices enumerate multiple polynomials. In the two dimensional case the coefficients ...
Read MoreEvaluate a Hermite series at points x in Python
To evaluate a Hermite series at points x, use the hermite.hermval() method in Python Numpy. The 1st parameter, x, if x is a list or tuple, it is converted to an ndarray, otherwise it is left unchanged and treated as a scalar. In either case, x or its elements must support addition and multiplication with themselves and with the elements of c.The 2nd parameter, C, an array of coefficients ordered so that the coefficients for terms of degree n are contained in c[n]. If c is multidimensional the remaining indices enumerate multiple polynomials. In the two dimensional case the coefficients ...
Read MoreRaise a Hermite series to a power in Python
To raise a Hermite series to a power, use the polynomial.hermite.hermpow() method in Python Numpy. The method returns Hermite series of power. Returns the Hermite series c raised to the power pow. The argument c is a sequence of coefficients ordered from low to high. i.e., [1, 2, 3] is the series P_0 + 2*P_1 + 3*P_2.The parameter, c is a 1-D array of Hermite series coefficients ordered from low to high. The parameter, pow is a Power to which the series will be raised. The parameter, maxpower is the maximum power allowed. This is mainly to limit growth of ...
Read MoreDivide one Hermite series by another in Python
To divide one Hermite series by another, use the polynomial.hermite.hermdiv() method in Python Numpy. The method returns an array of Hermite series coefficients representing the quotient and remainder. Returns the quotient-with-remainder of two Hermite series c1 / c2. The arguments are sequences of coefficients from lowest order “term” to highest, e.g., [1, 2, 3] represents the series P_0 + 2*P_1 + 3*P_2. The parameters, c1 and c2 are 1-D arrays of Hermite series coefficients ordered from low to high.StepsAt first, import the required library −import numpy as np from numpy.polynomial import hermite as HCreate 1-D arrays of Hermite series coefficients ...
Read MoreMultiply one Hermite series to another in Python
To multiply one Hermite series to another, use the polynomial.hermite.hermmul() method in Python Numpy. The method returns an array representing the Hermite series of their product. Returns the product of two Hermite series c1 * c2. The arguments are sequences of coefficients, from lowest order “term” to highest, e.g., [1, 2, 3] represents the series P_0 + 2*P_1 + 3*P_2. The parameters 1-D arrays of Hermite series coefficients ordered from low to high.StepsAt first, import the required library −import numpy as np from numpy.polynomial import hermite as HCreate 1-D arrays of Hermite series coefficients −c1 = np.array([1, 2, 3]) c2 ...
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