Masked array operations — NumPy v1.11 Manual (original) (raw)

ma.anom(self[, axis, dtype])

Compute the anomalies (deviations from the arithmetic mean) along the given axis.

ma.anomalies(self[, axis, dtype])

Compute the anomalies (deviations from the arithmetic mean) along the given axis.

ma.average(a[, axis, weights, returned])

Return the weighted average of array over the given axis.

ma.conjugate(x[, out])

Return the complex conjugate, element-wise.

ma.corrcoef(x[, y, rowvar, bias, ...])

Return Pearson product-moment correlation coefficients.

ma.cov(x[, y, rowvar, bias, allow_masked, ddof])

Estimate the covariance matrix.

ma.cumsum(self[, axis, dtype, out])

Return the cumulative sum of the elements along the given axis.

ma.cumprod(self[, axis, dtype, out])

Return the cumulative product of the elements along the given axis.

ma.mean(self[, axis, dtype, out])

Returns the average of the array elements.

ma.median(a[, axis, out, overwrite_input])

Compute the median along the specified axis.

ma.power(a, b[, third])

Returns element-wise base array raised to power from second array.

ma.prod(self[, axis, dtype, out])

Return the product of the array elements over the given axis.

ma.std(self[, axis, dtype, out, ddof])

Compute the standard deviation along the specified axis.

ma.sum(self[, axis, dtype, out])

Return the sum of the array elements over the given axis.

ma.var(self[, axis, dtype, out, ddof])

Compute the variance along the specified axis.

ma.MaskedArray.anom([axis, dtype])

Compute the anomalies (deviations from the arithmetic mean) along the given axis.

ma.MaskedArray.cumprod([axis, dtype, out])

Return the cumulative product of the elements along the given axis.

ma.MaskedArray.cumsum([axis, dtype, out])

Return the cumulative sum of the elements along the given axis.

ma.MaskedArray.mean([axis, dtype, out])

Returns the average of the array elements.

ma.MaskedArray.prod([axis, dtype, out])

Return the product of the array elements over the given axis.

ma.MaskedArray.std([axis, dtype, out, ddof])

Compute the standard deviation along the specified axis.

ma.MaskedArray.sum([axis, dtype, out])

Return the sum of the array elements over the given axis.

ma.MaskedArray.var([axis, dtype, out, ddof])

Compute the variance along the specified axis.