Bump ndarray from 0.15.4 to 0.16.0 (#220)

examples/3d_charts/Cargo.toml

@@ -5,6 +5,6 @@ authors = ["Michael Freeborn <[email protected]>"]
 edition = "2021"
 
 [dependencies]
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 rand = "0.8.5"
 plotly = { path = "../../plotly" }

examples/3d_charts/src/main.rs

@@ -12,7 +12,7 @@ use rand::Rng;
 // 3D Scatter Plots
 fn simple_scatter3d_plot() {
     let n: usize = 100;
-    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec();
+    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec_and_offset().0;
     let y: Vec<f64> = t.iter().map(|x| x.sin()).collect();
     let z: Vec<f64> = t.iter().map(|x| x.cos()).collect();
 
@@ -25,7 +25,7 @@ fn simple_scatter3d_plot() {
 
 fn customized_scatter3d_plot() {
     let n: usize = 100;
-    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec();
+    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec_and_offset().0;
     let y: Vec<f64> = t.iter().map(|x| x.sin()).collect();
     let z: Vec<f64> = t.iter().map(|x| x.cos()).collect();
     let sizelookup = z.clone();
@@ -114,7 +114,7 @@ fn customized_scatter3d_plot() {
 // 3D Line Plots
 fn simple_line3d_plot() {
     let n: usize = 100;
-    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec();
+    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec_and_offset().0;
     let y: Vec<f64> = t.iter().map(|x| x.sin()).collect();
     let z: Vec<f64> = t.iter().map(|x| x.cos()).collect();
 
@@ -128,8 +128,8 @@ fn simple_line3d_plot() {
 // 3D Surface Plot
 fn surface_plot() {
     let n: usize = 100;
-    let x: Vec<f64> = Array::linspace(-10., 10., n).into_raw_vec();
-    let y: Vec<f64> = Array::linspace(-10., 10., n).into_raw_vec();
+    let x: Vec<f64> = Array::linspace(-10., 10., n).into_raw_vec_and_offset().0;
+    let y: Vec<f64> = Array::linspace(-10., 10., n).into_raw_vec_and_offset().0;
     let z: Vec<Vec<f64>> = x
         .iter()
         .map(|i| {

examples/basic_charts/Cargo.toml

@@ -5,7 +5,7 @@ authors = ["Michael Freeborn <[email protected]>"]
 edition = "2021"
 
 [dependencies]
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 plotly = { path = "../../plotly" }
 rand = "0.8.5"
 rand_distr = "0.4.3"

examples/basic_charts/src/main.rs

@@ -17,7 +17,7 @@ use rand_distr::{Distribution, Normal, Uniform};
 // Scatter Plots
 fn simple_scatter_plot() {
     let n: usize = 100;
-    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec();
+    let t: Vec<f64> = Array::linspace(0., 10., n).into_raw_vec_and_offset().0;
     let y: Vec<f64> = t.iter().map(|x| x.sin()).collect();
 
     let trace = Scatter::new(t, y).mode(Mode::Markers);
@@ -30,7 +30,7 @@ fn simple_scatter_plot() {
 fn line_and_scatter_plots() {
     let n: usize = 100;
     let mut rng = rand::thread_rng();
-    let random_x: Vec<f64> = Array::linspace(0., 1., n).into_raw_vec();
+    let random_x: Vec<f64> = Array::linspace(0., 1., n).into_raw_vec_and_offset().0;
     let random_y0: Vec<f64> = Normal::new(5., 1.)
         .unwrap()
         .sample_iter(&mut rng)
@@ -86,7 +86,7 @@ fn bubble_scatter_plots() {
 
 fn polar_scatter_plot() {
     let n: usize = 400;
-    let theta: Vec<f64> = Array::linspace(0., 360., n).into_raw_vec();
+    let theta: Vec<f64> = Array::linspace(0., 360., n).into_raw_vec_and_offset().0;
     let r: Vec<f64> = theta
         .iter()
         .map(|x| {

examples/images/Cargo.toml

@@ -6,5 +6,5 @@ edition = "2021"
 
 [dependencies]
 image = "0.25"
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 plotly = { path = "../../plotly", features = ["plotly_image", "plotly_ndarray"] }

examples/ndarray/Cargo.toml

@@ -5,5 +5,5 @@ authors = ["Michael Freeborn <[email protected]>"]
 edition = "2021"
 
 [dependencies]
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 plotly = { path = "../../plotly", features = ["plotly_ndarray"] }

examples/shapes/Cargo.toml

@@ -5,7 +5,7 @@ authors = ["Michael Freeborn <[email protected]>"]
 edition = "2021"
 
 [dependencies]
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 plotly = { path = "../../plotly" }
 rand = "0.8.5"
 rand_distr = "0.4.3"

examples/shapes/src/main.rs

@@ -130,7 +130,7 @@ fn lines_positioned_relative_to_the_plot_and_to_the_axes() {
 }
 
 fn creating_tangent_lines_with_shapes() {
-    let x0 = Array::linspace(1.0, 3.0, 200).into_raw_vec();
+    let x0 = Array::linspace(1.0, 3.0, 200).into_raw_vec_and_offset().0;
     let y0 = x0.iter().map(|v| *v * (v.powf(2.)).sin() + 1.).collect();
 
     let trace = Scatter::new(x0, y0);

examples/statistical_charts/Cargo.toml

@@ -5,7 +5,7 @@ authors = ["Michael Freeborn <[email protected]>"]
 edition = "2021"
 
 [dependencies]
-ndarray = "0.15.6"
+ndarray = "0.16.0"
 plotly = { path = "../../plotly" }
 rand = "0.8.5"
 rand_distr = "0.4.3"

examples/statistical_charts/src/main.rs

@@ -93,7 +93,7 @@ fn bar_chart_with_error_bars() {
 }
 
 fn colored_and_styled_error_bars() {
-    let x_theo: Vec<f64> = Array::linspace(-4., 4., 100).into_raw_vec();
+    let x_theo: Vec<f64> = Array::linspace(-4., 4., 100).into_raw_vec_and_offset().0;
     let sincx: Vec<f64> = x_theo
         .iter()
         .map(|x| (x * std::f64::consts::PI).sin() / (*x * std::f64::consts::PI))

plotly/Cargo.toml

@@ -30,7 +30,7 @@ image = { version = "0.25", optional = true }
 js-sys = { version = "0.3", optional = true }
 plotly_derive = { version = "0.9.0", path = "../plotly_derive" }
 plotly_kaleido = { version = "0.9.0", path = "../plotly_kaleido", optional = true }
-ndarray = { version = "0.15.4", optional = true }
+ndarray = { version = "0.16.0", optional = true }
 once_cell = "1"
 serde = { version = "1.0.132", features = ["derive"] }
 serde_json = "1.0.73"
@@ -45,6 +45,6 @@ csv = "1.1.6"
 image = "0.25"
 itertools = ">=0.10, <0.14"
 itertools-num = "0.1.3"
-ndarray = "0.15.4"
+ndarray = "0.16.0"
 plotly_kaleido = { version = "0.9.0", path = "../plotly_kaleido" }
 rand_distr = "0.4"

plotly/src/traces/scatter_polar.rs

@@ -266,7 +266,7 @@ where
     ///     let theta: Array<f64, Ix1> = Array::range(0., 360., 360. / n as f64);
     ///     let mut rs: Array<f64, Ix2> = Array::zeros((11, 11));
     ///     let mut count = 0.;
-    ///     for mut row in rs.gencolumns_mut() {
+    ///     for mut row in rs.columns_mut() {
     ///         for index in 0..row.len() {
     ///             row[index] = count + (index as f64).powf(2.);
     ///         }