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Class poly1d

numpy/lib/_polynomial_impl.py:1096–1462  ·  view source on GitHub ↗

A one-dimensional polynomial class. .. note:: This forms part of the old polynomial API. Since version 1.4, the new polynomial API defined in `numpy.polynomial` is preferred. A summary of the differences can be found in the :doc:`transition guide </reference/rou

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1094
1095@set_module('numpy')
1096class poly1d:
1097 """
1098 A one-dimensional polynomial class.
1099
1100 .. note::
1101 This forms part of the old polynomial API. Since version 1.4, the
1102 new polynomial API defined in `numpy.polynomial` is preferred.
1103 A summary of the differences can be found in the
1104 :doc:`transition guide </reference/routines.polynomials>`.
1105
1106 A convenience class, used to encapsulate "natural" operations on
1107 polynomials so that said operations may take on their customary
1108 form in code (see Examples).
1109
1110 Parameters
1111 ----------
1112 c_or_r : array_like
1113 The polynomial&#x27;s coefficients, in decreasing powers, or if
1114 the value of the second parameter is True, the polynomial&#x27;s
1115 roots (values where the polynomial evaluates to 0). For example,
1116 ``poly1d([1, 2, 3])`` returns an object that represents
1117 :math:`x^2 + 2x + 3`, whereas ``poly1d([1, 2, 3], True)`` returns
1118 one that represents :math:`(x-1)(x-2)(x-3) = x^3 - 6x^2 + 11x -6`.
1119 r : bool, optional
1120 If True, `c_or_r` specifies the polynomial&#x27;s roots; the default
1121 is False.
1122 variable : str, optional
1123 Changes the variable used when printing `p` from `x` to `variable`
1124 (see Examples).
1125
1126 Examples
1127 --------
1128 >>> import numpy as np
1129
1130 Construct the polynomial :math:`x^2 + 2x + 3`:
1131
1132 >>> import numpy as np
1133
1134 >>> p = np.poly1d([1, 2, 3])
1135 >>> print(np.poly1d(p))
1136 2
1137 1 x + 2 x + 3
1138
1139 Evaluate the polynomial at :math:`x = 0.5`:
1140
1141 >>> p(0.5)
1142 4.25
1143
1144 Find the roots:
1145
1146 >>> p.r
1147 array([-1.+1.41421356j, -1.-1.41421356j])
1148 >>> p(p.r)
1149 array([ -4.44089210e-16+0.j, -4.44089210e-16+0.j]) # may vary
1150
1151 These numbers in the previous line represent (0, 0) to machine precision
1152
1153 Show the coefficients:

Callers 15

polyintFunction · 0.85
polyderFunction · 0.85
polyaddFunction · 0.85
polysubFunction · 0.85
polymulFunction · 0.85
polydivFunction · 0.85
__neg__Method · 0.85
__mul__Method · 0.85
__rmul__Method · 0.85
__add__Method · 0.85
__radd__Method · 0.85
__pow__Method · 0.85

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