Test if a double-precision floating-point numeric value is NaN.
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Updated
May 19, 2025 - Python
Test if a double-precision floating-point numeric value is NaN.
Compute the mid-range of a one-dimensional single-precision floating-point ndarray.
Calculate the maximum value of a one-dimensional ndarray according to a mask, ignoring NaN values.
Single-precision floating-point NaN.
Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.
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Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a two-pass error correction algorithm.
Compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray, ignoring NaN values and using ordinary recursive summation with extended accumulation.
Calculate the range of a one-dimensional double-precision floating-point ndarray according to a mask, ignoring NaN values.
Calculate the minimum value of a one-dimensional ndarray according to a mask, ignoring NaN values.
Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using Welford's algorithm.
Canonical double-precision complex floating-point NaN.
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