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Axes in Julia
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height: 200px; position: fixed; bottom: 10px; left: 50px" alt="Sign up for the upcoming webinar: Elevate Your Analytics with Plotly Dash Enterprise 5.7"> </a> </aside> <!-- Main--> <section class="--page-body --tutorial-index --base"> <header class="--welcome"> <div class="--welcome-body"> <!--div.--wrap-inner--> <div class="--title"> <div class="--body"> <div class="nav-breadcrumb-container"> <div> <div class="breadcrumb-nav"> <a href="/julia"> Julia </a> > <a href="/julia/plotly-fundamentals">Fundamentals</a> > <span>Axes</span> </div> </div> <div class="nav-breadcrumb-right"> <div class="--fork"> <a id="forklink" href= "https://github.com/plotly/plotlyjs.jl-docs/edit/master/julia/axes.md" > <div class="icon"> <svg style="width:20px;height:20px" viewbox="0 0 24 24"> <path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"> </path> </svg> </div> <span>Suggest an edit to this page</span> </a> </div> </div> </div> <h1> Axes in Julia </h1> <p>How to adjust axes properties in Julia - axes titles, styling and coloring axes and grid lines, ticks, tick labels and more. </p> <br> <!-- <div class="db-client-lib"> <label> This page in another language </label> <div class="list-lib-wrap"> <div class="list-lib"> <a href=" /r/axes/" class="list-lib-item r"> <div class="item-icon"> </div> <p class="item-language"> R </p> </a> <a href=" /julia/axes/" class="current list-lib-item julia"> <div class="item-icon"> </div> <p class="item-language"> Julia </p> </a> <a href=" /matlab/axes/" class="list-lib-item matlab"> <div class="item-icon"> </div> <p class="item-language"> MATLAB® </p> </a> <a href=" /ggplot2/axes/" class="list-lib-item ggplot2"> <div class="item-icon"> </div> <p class="item-language"> ggplot2 </p> </a> <a href=" /python/axes/" class="list-lib-item python"> <div class="item-icon"> </div> <p class="item-language"> Python </p> </a> </div> </div> </div> --> </div> </div> </div> </header> <!-- Start Plotly Basics Section --> <section class="tutorial-content"> <div class="rendered rendered_html"> <p>This tutorial explain how to set the properties of [2-dimensional Cartesian axes], namely <a href="/julia/reference/layout/xaxis/"><code>layout.xaxis</code></a> and <a href="/julia/reference/layout/yaxis/"><code>layout.yaxis</code></a>.</p> <p>Other kinds of subplots and axes are described in other tutorials:</p> <ul> <li><p><a href="/julia/3d-axes">3D axes</a> The axis object is <a href="/julia/reference/layout/scene/"><code>layout.Scene</code></a></p> </li> <li><p><a href="/julia/polar-chart/">Polar axes</a>. The axis object is <a href="/julia/reference/layout/polar/"><code>layout.Polar</code></a></p> </li> </ul> <p><strong>See also</strong> the tutorials on <a href="/julia/subplots">subplots</a> and <a href="/julia/multiple-axes/">multiple axes</a>.</p> <h3>2-D Cartesian Axis Types and Auto-Detection</h3> <p>The different types of Cartesian axes are configured via the <code>xaxis.type</code> or <code>yaxis.type</code> attribute, which can take on the following values:</p> <ul> <li><p><code>'linear'</code> as described in this page</p> </li> <li><p><code>'log'</code></p> </li> <li><p><code>'date'</code> (see the <a href="/julia/time-series/">tutorial on timeseries</a>)</p> </li> <li><p><code>'category'</code></p> </li> <li><p><code>'multicategory'</code></p> </li> </ul> <p>The axis type is auto-detected by looking at data from the first [trace] linked to this axis:</p> <ul> <li><p>First check for <code>multicategory</code>, then <code>date</code>, then <code>category</code>, else default to <code>linear</code> (<code>log</code> is never automatically selected)</p> </li> <li><p><code>multicategory</code> is just a shape test: is the array nested?</p> </li> <li><p><code>date</code> and <code>category</code>: require <strong>more than twice as many distinct date or category strings as distinct numbers</strong> in order to choose that axis type.</p> <ul> <li><p>Both of these test an evenly-spaced sample of at most 1000 values</p> </li> </ul> </li> </ul> <h3>Forcing an axis to be categorical</h3> <p>It is possible to force the axis type by setting explicitly <code>xaxis_type</code>. In the example below the automatic X axis type would be <code>linear</code> (because there are not more than twice as many unique strings as unique numbers) but we force it to be <code>category</code>.</p> <pre><code class="language-julia">using PlotlyJS trace = bar(x=["a", "a", "b", 3], y = [1,2,3,4]) layout = Layout(xaxis_type="category") plot(trace, layout)</code></pre> <div> <div id=7371b51d-7580-44da-9409-87da2afced66 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('7371b51d-7580-44da-9409-87da2afced66')) { Plotly.newPlot( '7371b51d-7580-44da-9409-87da2afced66', [{"y":[1,2,3,4],"type":"bar","x":["a","a","b",3]}], 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h4>General Axis properties</h4> <p>The different groups of Cartesian axes properties are</p> <ul> <li><p>title of the axis</p> </li> <li><p>tick values (locations of tick marks) and tick labels. Tick labels and grid lines are placed at tick values.</p> </li> <li><p>lines: grid lines (passing through tick values), axis lines, zero lines</p> </li> <li><p>range of the axis</p> </li> <li><p>domain of the axis</p> </li> </ul> <p>The examples on this page apply to axes of any type, but extra attributes are available for <a href="/julia/axes/">axes of type <code>category</code></a> and <a href="/julia/time-series/">axes of type <code>date</code></a>.</p> <h4>Set and Style Axes Title Labels</h4> <h5>Set axis title text</h5> <p>Axis titles are automatically set to the column names when using <code>plot</code> and using DataFrame as input.</p> <pre><code class="language-julia">using PlotlyJS, CSV, DataFrames df = dataset(DataFrame, "tips") plot(df, x=:total_bill, y=:tip, color=:sex, mode="markers", type="scatter")</code></pre> <div> <div id=c8dce301-5d53-4576-afb3-a5d38b45b6e6 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> 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top","title":null}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h5>Set axis title text with Graph Objects</h5> <p>Axis titles are set using the nested <code>title</code> property of the x or y axis. Here is an example of creating a new figure and using <code>Layout</code>, with magic underscore notation, to set the axis titles.</p> <pre><code class="language-julia">using PlotlyJS trace = scatter(y=[1, 0], x=[0,1]) layout = Layout(xaxis_title="Time", yaxis_title="Value A") plot(trace, layout)</code></pre> <div> <div id=74a64a0c-8fe1-4d66-8bcc-bb258b6db634 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('74a64a0c-8fe1-4d66-8bcc-bb258b6db634')) { Plotly.newPlot( '74a64a0c-8fe1-4d66-8bcc-bb258b6db634', [{"y":[1,0],"type":"scatter","x":[0,1]}], {"xaxis":{"title":{"text":"Time"}},"template":{"layout":{"coloraxis":{"colorbar":{"ticks":"","outlinewidth":0}},"xaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"hovermode":"closest","paper_bgcolor":"white","geo":{"showlakes":true,"showland":true,"landcolor":"#E5ECF6","bgcolor":"white","subunitcolor":"white","lakecolor":"white"},"colorscale":{"sequential":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"diverging":[[0,"#8e0152"],[0.1,"#c51b7d"],[0.2,"#de77ae"],[0.3,"#f1b6da"],[0.4,"#fde0ef"],[0.5,"#f7f7f7"],[0.6,"#e6f5d0"],[0.7,"#b8e186"],[0.8,"#7fbc41"],[0.9,"#4d9221"],[1,"#276419"]],"sequentialminus":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]},"yaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"shapedefaults":{"line":{"color":"#2a3f5f"}},"hoverlabel":{"align":"left"},"mapbox":{"style":"light"},"polar":{"angularaxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","radialaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"autotypenumbers":"strict","font":{"color":"#2a3f5f"},"ternary":{"baxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","caxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"aaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"annotationdefaults":{"arrowhead":0,"arrowwidth":1,"arrowcolor":"#2a3f5f"},"plot_bgcolor":"#E5ECF6","title":{"x":0.05},"scene":{"xaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"zaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"yaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"}},"colorway":["#636efa","#EF553B","#00cc96","#ab63fa","#FFA15A","#19d3f3","#FF6692","#B6E880","#FF97FF","#FECB52"]},"data":{"barpolar":[{"type":"barpolar","marker":{"line":{"color":"#E5ECF6","width":0.5}}}],"carpet":[{"aaxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"},"type":"carpet","baxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"}}],"scatterpolar":[{"type":"scatterpolar","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"parcoords":[{"line":{"colorbar":{"ticks":"","outlinewidth":0}},"type":"parcoords"}],"scatter":[{"type":"scatter","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram2dcontour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"histogram2dcontour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"contour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"contour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattercarpet":[{"type":"scattercarpet","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"mesh3d":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"mesh3d"}],"surface":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"surface","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattermapbox":[{"type":"scattermapbox","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"scattergeo":[{"type":"scattergeo","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram":[{"type":"histogram","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"pie":[{"type":"pie","automargin":true}],"choropleth":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"choropleth"}],"heatmapgl":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"heatmapgl","colorscale":[[0.0,"#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A"}}}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h3>Set axis title position</h3> <p>This example sets <code>standoff</code> attribute to cartesian axes to determine the distance between the tick labels and the axis title. Note that the axis title position is always constrained within the margins, so the actual standoff distance is always less than the set or default value. By default <a href="https://plotly.com/julia/setting-graph-size/#automatically-adjust-margins">automargin</a> is <code>True</code> in Plotly template for the cartesian axis, so the margins will be pushed to fit the axis title at given standoff distance.</p> <pre><code class="language-julia">using PlotlyJS trace = scatter( mode = "lines+markers", y=[4, 1, 3], x=["December", "January", "February"] ) layout = Layout( xaxis=attr( tickangle=90, title_text = "Month", title_font_size=20, title_standoff=25 ), yaxis=attr( title_text = "Temperature", title_standoff=25 ) ) plot(trace, layout)</code></pre> <div> <div id=9142b576-5960-4b15-8dee-892b8f777f32 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('9142b576-5960-4b15-8dee-892b8f777f32')) { Plotly.newPlot( '9142b576-5960-4b15-8dee-892b8f777f32', 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h5>Set axis title font</h5> <p>Here is an example that configures the font family, size, and color for the axis titles in a figure.</p> <pre><code class="language-julia">using PlotlyJS, CSV, DataFrames df = dataset(DataFrame, "iris") plot( df, x=:sepal_width, y=:sepal_length, facet_col=:species, mode="markers", kind="scatter", Layout( xaxis=attr( title_text="sepal_width", title_font=attr(size=18, family="Courier", color="crimson") ), yaxis=attr( title_text="sepal_length", title_font=attr(size=18, family="Courier", color="crimson") ) ) )</code></pre> <div> <div id=ccd63e44-6f1e-45d1-8555-b129ea119ad9 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('ccd63e44-6f1e-45d1-8555-b129ea119ad9')) { Plotly.newPlot( 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h4>Enumerated Ticks with Tickvals and Ticktext</h4> <p>The <code>tickvals</code> and <code>ticktext</code> axis properties can be used together to display custom tick label text at custom locations along an axis. 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Stock Price"}}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h3>Axis lines: grid and zerolines</h3> <h5>Toggling Axis grid lines</h5> <p>Axis grid lines can be disabled by setting the <code>showgrid</code> property to <code>False</code> for the x and/or y axis.</p> <p>Here is an example of setting <code>showgrid</code> to <code>False</code> in the graph object figure constructor.</p> <pre><code class="language-julia">using PlotlyJS plot( scatter(mode="lines", y=[1, 0], x=[0,1]), Layout(xaxis_showgrid=false, yaxis_showgrid=false) )</code></pre> <div> <div id=6b64b84b-98cf-4929-96d3-02ac07da5903 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('6b64b84b-98cf-4929-96d3-02ac07da5903')) { Plotly.newPlot( '6b64b84b-98cf-4929-96d3-02ac07da5903', 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h5>Toggling Axis zero lines</h5> <p>The lines passing through zero can be disabled as well by setting the <code>zeroline</code> axis property to <code>False</code></p> <pre><code class="language-julia">using PlotlyJS plot(scatter(mode="lines", y=[1, 0], x=[0,1]), Layout( xaxis_showgrid=false, xaxis_zeroline=false, yaxis_showgrid=false, yaxis_zeroline=false ) )</code></pre> <div> <div id=36996a65-8885-408d-aab4-45297f44fe91 class="plotly-graph-div" style="height:100%; width:100%;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('36996a65-8885-408d-aab4-45297f44fe91')) { Plotly.newPlot( '36996a65-8885-408d-aab4-45297f44fe91', [{"mode":"lines","y":[1,0],"type":"scatter","x":[0,1]}], 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h3>Fixed Ratio Axes</h3> <p>The <code>scaleanchor</code> and <code>scaleratio</code> axis properties can be used to force a fixed ratio of pixels per unit between two axes.</p> <p>Here is an example of anchoring the scale of the x and y axis with a scale ratio of 1. Notice how the zoom box is constrained to prevent the distortion of the shape of the line plot.</p> <pre><code class="language-julia">using PlotlyJS layout = Layout( width=800, height=500, title="fixed-ratio axes", yaxis=attr(scaleanchor="x", scaleratio=1) ) trace = scatter( x=[0,1,1,0,0,1,1,2,2,3,3,2,2,3], y=[0,0,1,1,3,3,2,2,3,3,1,1,0,0] ) plot(trace, layout)</code></pre> <div> <div id=9bc347be-bd95-4427-9a1a-e2de805c637a class="plotly-graph-div" style="height:500; width:800;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('9bc347be-bd95-4427-9a1a-e2de805c637a')) { Plotly.newPlot( '9bc347be-bd95-4427-9a1a-e2de805c637a', [{"y":[0,0,1,1,3,3,2,2,3,3,1,1,0,0],"type":"scatter","x":[0,1,1,0,0,1,1,2,2,3,3,2,2,3]}], 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axes","yaxis":{"scaleanchor":"x","scaleratio":1},"width":800}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h3>Fixed Ratio Axes with Compressed domain</h3> <p>If an axis needs to be compressed (either due to its own <code>scaleanchor</code> and <code>scaleratio</code> or those of the other axis), <code>constrain</code> determines how that happens: by increasing the "range" (default), or by decreasing the "domain".</p> <pre><code class="language-julia">using PlotlyJS layout = Layout( width=800, height=500, title="fixed-ratio axes with compressed axes", yaxis=attr( scaleanchor="x", scaleratio=1), xaxis=attr(range=[-1,4], constrain="domain") ) trace = scatter( x=[0,1,1,0,0,1,1,2,2,3,3,2,2,3], y=[0,0,1,1,3,3,2,2,3,3,1,1,0,0] ) plot(trace, layout)</code></pre> <div> <div id=ee55ce1f-f746-4992-bcd4-35e126cffd22 class="plotly-graph-div" style="height:500; width:800;"> </div> <script type="text/javascript"> require(["plotly"], 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axes with compressed axes","yaxis":{"scaleanchor":"x","scaleratio":1},"width":800}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h5>Decreasing the domain spanned by an axis</h5> <p>In the example below, the x and y axis are anchored together, and the range of the <code>xaxis</code> is set manually. By default, plotly extends the range of the axis (overriding the <code>range</code> parameter) to fit in the figure <code>domain</code>. You can restrict the <code>domain</code> to force the axis to span only the set range, by setting <code>constrain='domain'</code> as below.</p> <pre><code class="language-julia">using PlotlyJS layout = Layout( width=800, height=500, title="fixed-ratio axes", yaxis=attr(range=(-0.5, 3.5), constrain="domain"), xaxis=attr(scaleanchor="x", scaleratio=1) ) trace = scatter( x=[0,1,1,0,0,1,1,2,2,3,3,2,2,3], y=[0,0,1,1,3,3,2,2,3,3,1,1,0,0] ) plot(trace, layout)</code></pre> <div> <div id=be4c25b5-0be0-4429-b005-21f5892a5f40 class="plotly-graph-div" style="height:500; width:800;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('be4c25b5-0be0-4429-b005-21f5892a5f40')) { Plotly.newPlot( 'be4c25b5-0be0-4429-b005-21f5892a5f40', [{"y":[0,0,1,1,3,3,2,2,3,3,1,1,0,0],"type":"scatter","x":[0,1,1,0,0,1,1,2,2,3,3,2,2,3]}], 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axes","yaxis":{"range":[-0.5,3.5],"constrain":"domain"},"width":800}, {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h3>Fixed Ratio Axes with Compressed domain</h3> <p>If an axis needs to be compressed (either due to its own <code>scaleanchor</code> and <code>scaleratio</code> or those of the other axis), <code>constrain</code> determines how that happens: by increasing the "range" (default), or by decreasing the "domain".</p> <pre><code class="language-julia">using PlotlyJS layout = Layout( width=800, height=500, title="fixed-ratio axes", yaxis=attr(scaleanchor="x",scaleratio=1), xaxis=attr( range=[-1,4], # sets the range of xaxis constrain="domain", # meanwhile compresses the xaxis by decreasing its "domain" ) ) trace = scatter( x=[0,1,1,0,0,1,1,2,2,3,3,2,2,3], y=[0,0,1,1,3,3,2,2,3,3,1,1,0,0] ) plot(trace, layout)</code></pre> <div> <div id=10e4bc20-b06a-487c-88ee-3221a7dd306e class="plotly-graph-div" style="height:500; width:800;"> </div> <script type="text/javascript"> require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} if (document.getElementById('10e4bc20-b06a-487c-88ee-3221a7dd306e')) { Plotly.newPlot( '10e4bc20-b06a-487c-88ee-3221a7dd306e', [{"y":[0,0,1,1,3,3,2,2,3,3,1,1,0,0],"type":"scatter","x":[0,1,1,0,0,1,1,2,2,3,3,2,2,3]}], 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, ) } }); </script> </div> <h4><code>nonnegative</code>, <code>tozero</code>, and <code>normal</code> Rangemode</h4> <p>The axis auto-range calculation logic can be configured using the <code>rangemode</code> axis parameter.</p> <p>If <code>rangemode</code> is <code>"normal"</code> (the default), the range is computed based on the min and max values of the input data. 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