num¶
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Transform 2d array a2 to nd array an. |
Double-precision floating-point number type, compatible with Python |
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Base class for 1D data fit/interpolation classes ( |
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Common 2D interpolator API. |
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High level interface to poly{fit,val}, similar to |
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1D special case version of |
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n-th derivative for 1d arrays of possibly nonuniformly sampled data. |
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Squared distances between all points in arrx and arry: |
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Euler's rotation matrix. |
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Repeat an array along |
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Find minimum of x-y curve by searching for the root of the 1st derivative of a spline thru x,y. |
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Find root of x-y curve by searching for the root of a spline thru x,y. |
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Mask array into points where |
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Bool array of |
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Shortcut for |
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2-norm for real vectors. |
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Normalize integral area of y(x) to area. |
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Normalize array by it's max value. |
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Band ordering algorithm. |
Convert a string or number to a floating point number, if possible. |
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Powers for building a n-dim polynomial and columns of the n-dim Vandermonde matrix. |
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String representation of a ndim-poly of degree deg. |
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Fit nd polynomial of dregree deg. |
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Evaluate polynomial generated by |
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RMS of all elements in a ndarray. |
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RMS of 3d array along axis. |
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Round integer x up to the next possible multiple of mult. |
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The equivalent of a[<slice or index>]=b, but accepts slices objects instead of array indices or fancy indexing (e.g. a[:,1:]). |
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The equivalent of numpy.take(a, ..., axis=<axis>), but accepts slice objects instead of an index array. |
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This numpy.sum() with some features implemented which can be found in numpy v1.7 and later: axis can be a tuple to select arbitrary axes to sum over. |
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N-dim Vandermonde matrix for data points and a polynomial of degree deg. |
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Like numpy.linspace, but for 1d arrays. |