Trait average::Histogram[−][src]

pub trait Histogram where
    &'a Self: IntoIterator<Item = ((f64, f64), u64)>, {
    fn bins(&self) -> &[u64];

    fn variance(&self, bin: usize) -> f64 { ... }
    fn normalized_bins(
        &self
    ) -> IterNormalized<<&Self as IntoIterator>::IntoIter> { ... }
    fn widths(&self) -> IterWidths<<&Self as IntoIterator>::IntoIter> { ... }
    fn centers(&self) -> IterBinCenters<<&Self as IntoIterator>::IntoIter> { ... }
    fn variances(&self) -> IterVariances<<&Self as IntoIterator>::IntoIter> { ... }
}

Get the bins and ranges from a histogram.

Required Methods

`fn bins(&self) -> &[u64]`

Return the bins of the histogram.

Provided Methods

`fn variance(&self, bin: usize) -> f64`

Estimate the variance for the given bin.

The square root of this estimates the error of the bin count.

`fn normalized_bins(&self) -> IterNormalized<<&Self as IntoIterator>::IntoIter>`

Return an iterator over the bins normalized by the bin widths.

`fn widths(&self) -> IterWidths<<&Self as IntoIterator>::IntoIter>`

Return an iterator over the bin widths.

`fn centers(&self) -> IterBinCenters<<&Self as IntoIterator>::IntoIter>`

Return an iterator over the bin centers.

`fn variances(&self) -> IterVariances<<&Self as IntoIterator>::IntoIter>`

Return an iterator over the bin variances.

This is more efficient than calling variance() for each bin.

Implementors

impl Histogram for Histogram10
[src]