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// Copyright 2014-2016 bluss and ndarray developers. // // Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or // http://www.apache.org/licenses/LICENSE-2.0> or the MIT license // <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your // option. This file may not be copied, modified, or distributed // except according to those terms. //! Methods for two-dimensional arrays. use crate::imp_prelude::*; /// # Methods For 2-D Arrays impl<A, S> ArrayBase<S, Ix2> where S: RawData<Elem = A>, { /// Return an array view of row `index`. /// /// **Panics** if `index` is out of bounds. /// /// ``` /// use ndarray::array; /// let array = array![[1., 2.], [3., 4.]]; /// assert_eq!(array.row(0), array![1., 2.]); /// ``` pub fn row(&self, index: Ix) -> ArrayView1<'_, A> where S: Data, { self.index_axis(Axis(0), index) } /// Return a mutable array view of row `index`. /// /// **Panics** if `index` is out of bounds. /// /// ``` /// use ndarray::array; /// let mut array = array![[1., 2.], [3., 4.]]; /// array.row_mut(0)[1] = 5.; /// assert_eq!(array, array![[1., 5.], [3., 4.]]); /// ``` pub fn row_mut(&mut self, index: Ix) -> ArrayViewMut1<'_, A> where S: DataMut, { self.index_axis_mut(Axis(0), index) } /// Return the number of rows (length of `Axis(0)`) in the two-dimensional array. /// /// ``` /// use ndarray::array; /// let array = array![[1., 2.], [3., 4.]]; /// assert_eq!(array.nrows(), 2usize); /// ``` pub fn nrows(&self) -> usize { self.len_of(Axis(0)) } /// Return an array view of column `index`. /// /// **Panics** if `index` is out of bounds. /// /// ``` /// use ndarray::array; /// let array = array![[1., 2.], [3., 4.]]; /// assert_eq!(array.column(0), array![1., 3.]); /// ``` pub fn column(&self, index: Ix) -> ArrayView1<'_, A> where S: Data, { self.index_axis(Axis(1), index) } /// Return a mutable array view of column `index`. /// /// **Panics** if `index` is out of bounds. /// /// ``` /// use ndarray::array; /// let mut array = array![[1., 2.], [3., 4.]]; /// array.column_mut(0)[1] = 5.; /// assert_eq!(array, array![[1., 2.], [5., 4.]]); /// ``` pub fn column_mut(&mut self, index: Ix) -> ArrayViewMut1<'_, A> where S: DataMut, { self.index_axis_mut(Axis(1), index) } /// Return the number of columns (length of `Axis(1)`) in the two-dimensional array. /// /// ``` /// use ndarray::array; /// let array = array![[1., 2.], [3., 4.]]; /// assert_eq!(array.ncols(), 2usize); /// ``` pub fn ncols(&self) -> usize { self.len_of(Axis(1)) } /// Return true if the array is square, false otherwise. /// /// # Examples /// Sqaure: /// ``` /// use ndarray::array; /// let array = array![[1., 2.], [3., 4.]]; /// assert!(array.is_square()); /// ``` /// Not sqaure: /// ``` /// use ndarray::array; /// let array = array![[1., 2., 5.], [3., 4., 6.]]; /// assert!(!array.is_square()); /// ``` pub fn is_square(&self) -> bool { let (m, n) = self.dim(); m == n } }