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ENH, WIP: Add 2-D fitting function for polynomials #14151

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ENH, WIP: Add 2-D fitting function for polynomials #14151

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c927096
Polyfit2d initial. Now without unnecessary style changes
AWehrhahn Jul 29, 2019
b7d303e
Moved 2d fit into polyutils, similar to the 1d fit
AWehrhahn Jul 29, 2019
fcb83ce
bugfixes, so that test work
AWehrhahn Jul 29, 2019
9808bf2
2d fits for other polynomial classes
AWehrhahn Aug 5, 2019
99986c5
Add assertion of shape for the 2d index
AWehrhahn Aug 21, 2019
5267b0d
Fix long lines
AWehrhahn Aug 21, 2019
bd4489e
Fix some typos
AWehrhahn Aug 21, 2019
b09ef70
Polyfit with degree mask
AWehrhahn Sep 9, 2019
f9b403c
Update numpy/polynomial/polynomial.py
AWehrhahn Oct 28, 2019
652cad2
Fix docstrings
AWehrhahn Oct 28, 2019
1ea7e7f
vectorize coefficient scaling
AWehrhahn Oct 28, 2019
b1e0fdb
Fixed docstring again
AWehrhahn Oct 28, 2019
13674f0
polyfitnd
AWehrhahn May 12, 2020
7491559
Implement N dimensional fit
AWehrhahn May 12, 2020
c4069f6
Fix the fit2d function in the other polynomial types
AWehrhahn May 12, 2020
4cd2c03
Fix initial checks
AWehrhahn May 13, 2020
2a20790
Fix the vandermode matrix indices
AWehrhahn May 13, 2020
6250ff8
Fix tests
AWehrhahn May 13, 2020
b79bdd1
Fix typo
AWehrhahn May 13, 2020
eb23787
Bugfix
AWehrhahn May 13, 2020
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Fixed docstring again
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@AWehrhahn
AWehrhahn committed May 13, 2020
commit b1e0fdb6a873bb76c79b89e4167eeebf1bee0a14
2 changes: 1 addition & 1 deletion 2 numpy/polynomial/chebyshev.py
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Expand Up @@ -1671,7 +1671,7 @@ def chebfit2d(x, y, z, deg, rcond=None, full=False, w=None, max_degree=None):
least squares fit to the data values `y` given at points `x`.
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The fitted polynomial(s) are in the form

.. math:: p(x, y) = c_{00} + c_{10} * T_{10}(x, y) + ... + c_{nm} * T_{nm}(x, y),
.. math:: p(x, y) = c_{00} + c_{10} * T_1(x) T_0(y) + ... + c_{nm} * T_n(x) T_m(y),
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where `n` and `m` are `deg`.
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2 changes: 1 addition & 1 deletion 2 numpy/polynomial/hermite.py
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Expand Up @@ -1397,7 +1397,7 @@ def hermfit2d(x, y, z, deg, rcond=None, full=False, w=None, max_degree=None):
Return the coefficients of a Hermite series of degree `deg` that is the
least squares fit to the data values `z` given at points `(x, y)`.

.. math:: p(x, y) = c_{00} + c_{10} * H_{10}(x, y) + ... + c_{nm} * H_{nm}(x, y),
.. math:: p(x, y) = c_{00} + c_{10} * H_1(x) H_0(y) + ... + c_{nm} * H_n(x) H_m(y),

where `n` and `m` are `deg`.

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2 changes: 1 addition & 1 deletion 2 numpy/polynomial/hermite_e.py
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Expand Up @@ -1392,7 +1392,7 @@ def hermefit2d(x, y, z, deg, rcond=None, full=False, w=None, max_degree=None):
the least squares fit to the data values `y` given at points `x`.
The fitted polynomial(s) are in the form

.. math:: p(x, y) = c_{00} + c_{10} * He_{10}(x, y) + ... + c_{nm} * He_{nm}(x, y),
.. math:: p(x, y) = c_{00} + c_{10} * He_1(x) He_0(y) + ... + c_{nm} * He_n(x) He_m(y),

where `n` and `m` are `deg`.

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2 changes: 1 addition & 1 deletion 2 numpy/polynomial/laguerre.py
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Expand Up @@ -1399,7 +1399,7 @@ def lagfit2d(x, y, z, deg, rcond=None, full=False, w=None, max_degree=None):
least squares fit to the data values `z` given at points `(x, y)`.
The fitted polynomial(s) are in the form

.. math:: p(x, y) = c_{00} + c_{10} * L_{10}(x, y) + c_{01} * L_{01}(x, y) ... + c_{nm} * L_{nm}(x, y),
.. math:: p(x, y) = c_{00} + c_{10} * L_1(x) L_0(y) + c_{01} * L_0(x) L_1(y) ... + c_{nm} * L_n(x) L_m(y),

where `n` and `m` are `deg`.

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2 changes: 1 addition & 1 deletion 2 numpy/polynomial/legendre.py
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Expand Up @@ -1413,7 +1413,7 @@ def legfit2d(x, y, z, deg, rcond=None, full=False, w=None, max_degree=None):
least squares fit to the data values `z` given at points `(x, y)`.
The fitted polynomial(s) are in the form

.. math:: p(x, y) = c_{00} + c_{10} * L_{10}(x, y) + c_{01} * L_{01}(x, y) + ... + c_{nm} * L_{nm}(x, y),
.. math:: p(x, y) = c_{00} + c_{10} * L_1(x) L_0(y) + c_{01} * L_0(x) L_1(y) + ... + c_{nm} * L_n(x) L_m(y),

where `n` and `m` are `deg`.

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