plotly - pypi Package Compare versions

Comparing version 6.3.0 to 6.3.1

plotly/labextensio...tic/remoteEntry.6e6831fa75252e0d6206.js

+var _JUPYTERLAB;(()=>{"use strict";var e,r,t={987:(e,r,t)=>{var o={"./index":()=>t.e(340).then((()=>()=>t(340))),"./mimeExtension":()=>t.e(340).then((()=>()=>t(340)))},a=(e,r)=>(t.R=r,r=t.o(o,e)?o[e]():Promise.resolve().then((()=>{throw new Error('Module "'+e+'" does not exist in container.')})),t.R=void 0,r),n=(e,r)=>{if(t.S){var o="default",a=t.S[o];if(a&&a!==e)throw new Error("Container initialization failed as it has already been initialized with a different share scope");return t.S[o]=e,t.I(o,r)}};t.d(r,{get:()=>a,init:()=>n})}},o={};function a(e){var r=o[e];if(void 0!==r)return r.exports;var n=o[e]={exports:{}};return t[e](n,n.exports,a),n.exports}a.m=t,a.c=o,a.amdO={},a.d=(e,r)=>{for(var t in r)a.o(r,t)&&!a.o(e,t)&&Object.defineProperty(e,t,{enumerable:!0,get:r[t]})},a.f={},a.e=e=>Promise.all(Object.keys(a.f).reduce(((r,t)=>(a.f[t](e,r),r)),[])),a.u=e=>e+".6ef45c5e0eac9143a6d4.js?v=6ef45c5e0eac9143a6d4",a.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),a.o=(e,r)=>Object.prototype.hasOwnProperty.call(e,r),e={},r="jupyterlab-plotly:",a.l=(t,o,n,i)=>{if(e[t])e[t].push(o);else{var l,u;if(void 0!==n)for(var p=document.getElementsByTagName("script"),s=0;s<p.length;s++){var c=p[s];if(c.getAttribute("src")==t||c.getAttribute("data-webpack")==r+n){l=c;break}}l||(u=!0,(l=document.createElement("script")).charset="utf-8",l.timeout=120,a.nc&&l.setAttribute("nonce",a.nc),l.setAttribute("data-webpack",r+n),l.src=t),e[t]=[o];var d=(r,o)=>{l.onerror=l.onload=null,clearTimeout(f);var a=e[t];if(delete e[t],l.parentNode&&l.parentNode.removeChild(l),a&&a.forEach((e=>e(o))),r)return r(o)},f=setTimeout(d.bind(null,void 0,{type:"timeout",target:l}),12e4);l.onerror=d.bind(null,l.onerror),l.onload=d.bind(null,l.onload),u&&document.head.appendChild(l)}},a.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},(()=>{a.S={};var e={},r={};a.I=(t,o)=>{o||(o=[]);var n=r[t];if(n||(n=r[t]={}),!(o.indexOf(n)>=0)){if(o.push(n),e[t])return e[t];a.o(a.S,t)||(a.S[t]={});var i=a.S[t],l="jupyterlab-plotly",u=[];return"default"===t&&((e,r,t,o)=>{var n=i[e]=i[e]||{},u=n[r];(!u||!u.loaded&&(1!=!u.eager?o:l>u.from))&&(n[r]={get:()=>a.e(340).then((()=>()=>a(340))),from:l,eager:!1})})("jupyterlab-plotly","6.0.1"),e[t]=u.length?Promise.all(u).then((()=>e[t]=1)):1}}})(),(()=>{var e;a.g.importScripts&&(e=a.g.location+"");var r=a.g.document;if(!e&&r&&(r.currentScript&&"SCRIPT"===r.currentScript.tagName.toUpperCase()&&(e=r.currentScript.src),!e)){var t=r.getElementsByTagName("script");if(t.length)for(var o=t.length-1;o>-1&&(!e||!/^http(s?):/.test(e));)e=t[o--].src}if(!e)throw new Error("Automatic publicPath is not supported in this browser");e=e.replace(/^blob:/,"").replace(/#.*$/,"").replace(/\?.*$/,"").replace(/\/[^\/]+$/,"/"),a.p=e})(),(()=>{var e={80:0};a.f.j=(r,t)=>{var o=a.o(e,r)?e[r]:void 0;if(0!==o)if(o)t.push(o[2]);else{var n=new Promise(((t,a)=>o=e[r]=[t,a]));t.push(o[2]=n);var i=a.p+a.u(r),l=new Error;a.l(i,(t=>{if(a.o(e,r)&&(0!==(o=e[r])&&(e[r]=void 0),o)){var n=t&&("load"===t.type?"missing":t.type),i=t&&t.target&&t.target.src;l.message="Loading chunk "+r+" failed.\n("+n+": "+i+")",l.name="ChunkLoadError",l.type=n,l.request=i,o[1](l)}}),"chunk-"+r,r)}};var r=(r,t)=>{var o,n,[i,l,u]=t,p=0;if(i.some((r=>0!==e[r]))){for(o in l)a.o(l,o)&&(a.m[o]=l[o]);u&&u(a)}for(r&&r(t);p<i.length;p++)n=i[p],a.o(e,n)&&e[n]&&e[n][0](),e[n]=0},t=self.webpackChunkjupyterlab_plotly=self.webpackChunkjupyterlab_plotly||[];t.forEach(r.bind(null,0)),t.push=r.bind(null,t.push.bind(t))})();var n=a(987);(_JUPYTERLAB=void 0===_JUPYTERLAB?{}:_JUPYTERLAB)["jupyterlab-plotly"]=n})();

plotly/matplotlylib/tests/__init__.py

+import matplotlib
+
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt

plotly/matplotlylib/tests/test_renderer.py

+import matplotlib.pyplot as plt
+import plotly.tools as tls
+
+
+def test_native_legend_enabled_when_matplotlib_legend_present():
+    """Test that when matplotlib legend is present, Plotly uses native legend."""
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1], label="Line 1")
+    ax.plot([0, 1], [1, 0], label="Line 2")
+    ax.legend()
+
+    plotly_fig = tls.mpl_to_plotly(fig)
+
+    # Should enable native legend
+    assert plotly_fig.layout.showlegend == True
+    # Should have 2 traces with names
+    assert len(plotly_fig.data) == 2
+    assert plotly_fig.data[0].name == "Line 1"
+    assert plotly_fig.data[1].name == "Line 2"
+
+
+def test_no_fake_legend_shapes_with_native_legend():
+    """Test that fake legend shapes are not created when using native legend."""
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1], "o-", label="Data with markers")
+    ax.legend()
+
+    plotly_fig = tls.mpl_to_plotly(fig)
+
+    # Should use native legend
+    assert plotly_fig.layout.showlegend == True
+    # Should not create fake legend elements
+    assert len(plotly_fig.layout.shapes) == 0
+    assert len(plotly_fig.layout.annotations) == 0
+
+
+def test_legend_disabled_when_no_matplotlib_legend():
+    """Test that legend is not enabled when no matplotlib legend is present."""
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1], label="Line 1")  # Has label but no legend() call
+
+    plotly_fig = tls.mpl_to_plotly(fig)
+
+    # Should not have showlegend explicitly set to True
+    # (Plotly's default behavior when no legend elements exist)
+    assert (
+        not hasattr(plotly_fig.layout, "showlegend")
+        or plotly_fig.layout.showlegend != True
+    )
+
+
+def test_legend_disabled_when_matplotlib_legend_not_visible():
+    """Test that legend is not enabled when no matplotlib legend is not visible."""
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1], label="Line 1")
+    legend = ax.legend()
+    legend.set_visible(False)  # Hide the legend
+
+    plotly_fig = tls.mpl_to_plotly(fig)
+
+    # Should not enable legend when matplotlib legend is hidden
+    assert (
+        not hasattr(plotly_fig.layout, "showlegend")
+        or plotly_fig.layout.showlegend != True
+    )
+
+
+def test_multiple_traces_native_legend():
+    """Test native legend works with multiple traces of different types."""
+    fig, ax = plt.subplots()
+    ax.plot([0, 1, 2], [0, 1, 0], "-", label="Line")
+    ax.plot([0, 1, 2], [1, 0, 1], "o", label="Markers")
+    ax.plot([0, 1, 2], [0.5, 0.5, 0.5], "s-", label="Line+Markers")
+    ax.legend()
+
+    plotly_fig = tls.mpl_to_plotly(fig)
+
+    assert plotly_fig.layout.showlegend == True
+    assert len(plotly_fig.data) == 3
+    assert plotly_fig.data[0].name == "Line"
+    assert plotly_fig.data[1].name == "Markers"
+    assert plotly_fig.data[2].name == "Line+Markers"
+    # Verify modes are correct
+    assert plotly_fig.data[0].mode == "lines"
+    assert plotly_fig.data[1].mode == "markers"
+    assert plotly_fig.data[2].mode == "lines+markers"

PKG-INFO

 Metadata-Version: 2.4
 Name: plotly
-Version: 6.3.0
+Version: 6.3.1
 Summary: An open-source interactive data visualization library for Python
@@ -5,0 +5,0 @@ Author-email: Chris P <[e-mail]>

plotly.egg-info/PKG-INFO

 Metadata-Version: 2.4
 Name: plotly
-Version: 6.3.0
+Version: 6.3.1
 Summary: An open-source interactive data visualization library for Python
@@ -5,0 +5,0 @@ Author-email: Chris P <[e-mail]>

plotly/_subplots.py

@@ -749,5 +749,16 @@ # Constants
 
-    _configure_shared_axes(layout, grid_ref, specs, "x", shared_xaxes, row_dir)
-    _configure_shared_axes(layout, grid_ref, specs, "y", shared_yaxes, row_dir)
+    _configure_shared_axes(layout, grid_ref, specs, "x", shared_xaxes, row_dir, False)
+    _configure_shared_axes(layout, grid_ref, specs, "y", shared_yaxes, row_dir, False)
 
+    any_secondary_y = any(
+        spec["secondary_y"]
+        for spec_row in specs
+        for spec in spec_row
+        if spec is not None
+    )
+    if any_secondary_y:
+        _configure_shared_axes(
+            layout, grid_ref, specs, "y", shared_yaxes, row_dir, True
+        )
+
     # Build inset reference
@@ -883,3 +894,5 @@ # ---------------------
 
-def _configure_shared_axes(layout, grid_ref, specs, x_or_y, shared, row_dir):
+def _configure_shared_axes(
+    layout, grid_ref, specs, x_or_y, shared, row_dir, secondary_y
+):
     rows = len(grid_ref)
@@ -895,2 +908,9 @@ cols = len(grid_ref[0])
 
+    if secondary_y:
+        cols_iter = range(cols - 1, -1, -1)
+        axis_index = 1
+    else:
+        cols_iter = range(cols)
+        axis_index = 0
+
     def update_axis_matches(first_axis_id, subplot_ref, spec, remove_label):
@@ -919,3 +939,3 @@ if subplot_ref is None:
     if shared == "columns" or (x_or_y == "x" and shared is True):
-        for c in range(cols):
+        for c in cols_iter:
             first_axis_id = None
@@ -926,3 +946,5 @@ ok_to_remove_label = x_or_y == "x"
                     continue
-                subplot_ref = grid_ref[r][c][0]
+                if axis_index >= len(grid_ref[r][c]):
+                    continue
+                subplot_ref = grid_ref[r][c][axis_index]
                 spec = specs[r][c]
@@ -937,6 +959,8 @@ first_axis_id = update_axis_matches(
             ok_to_remove_label = x_or_y == "y"
-            for c in range(cols):
+            for c in cols_iter:
                 if not grid_ref[r][c]:
                     continue
-                subplot_ref = grid_ref[r][c][0]
+                if axis_index >= len(grid_ref[r][c]):
+                    continue
+                subplot_ref = grid_ref[r][c][axis_index]
                 spec = specs[r][c]
@@ -949,11 +973,13 @@ first_axis_id = update_axis_matches(
         first_axis_id = None
-        for c in range(cols):
-            for ri, r in enumerate(rows_iter):
+        for ri, r in enumerate(rows_iter):
+            for c in cols_iter:
                 if not grid_ref[r][c]:
                     continue
-                subplot_ref = grid_ref[r][c][0]
+                if axis_index >= len(grid_ref[r][c]):
+                    continue
+                subplot_ref = grid_ref[r][c][axis_index]
                 spec = specs[r][c]
 
                 if x_or_y == "y":
-                    ok_to_remove_label = c > 0
+                    ok_to_remove_label = c < cols - 1 if secondary_y else c > 0
                 else:
@@ -960,0 +986,0 @@ ok_to_remove_label = ri > 0 if row_dir > 0 else r < rows - 1

plotly/figure_factory/_ternary_contour.py

@@ -385,3 +385,3 @@ import plotly.colors as clrs
     linecolor="rgb(150,150,150)",
-    interp_mode="llr",
+    interp_mode="ilr",
     coloring=None,
@@ -388,0 +388,0 @@ v_min=0,

plotly/graph_objs/_image.py

@@ -524,3 +524,4 @@ #                   --- THIS FILE IS AUTO-GENERATED ---
         Specifies the data URI of the image to be visualized. The URI
-        consists of "data:image/[<media subtype>][;base64],<data>"
+        consists of "data:image/[<media
+        subtype\\>][;base64\\],<data\\>"
 
@@ -1025,3 +1026,3 @@ The 'source' property is a string and must be specified as:
             The URI consists of "data:image/[<media
-            subtype>][;base64],<data>"
+            subtype\\>][;base64\\],<data\\>"
         stream
@@ -1299,3 +1300,3 @@ :class:`plotly.graph_objects.image.Stream` instance or
             The URI consists of "data:image/[<media
-            subtype>][;base64],<data>"
+            subtype\\>][;base64\\],<data\\>"
         stream
@@ -1302,0 +1303,0 @@ :class:`plotly.graph_objects.image.Stream` instance or

plotly/graph_objs/_parcats.py

@@ -252,10 +252,10 @@ #                   --- THIS FILE IS AUTO-GENERATED ---
         here applies when hovering over dimensions. Note that
-        `*categorycount`, "colorcount" and "bandcolorcount" are only
-        available when `hoveron` contains the "color" flagFinally, the
-        template string has access to variables `count`, `probability`,
-        `category`, `categorycount`, `colorcount` and `bandcolorcount`.
-        Anything contained in tag `<extra>` is displayed in the
-        secondary box, for example `<extra>%{fullData.name}</extra>`.
-        To hide the secondary box completely, use an empty tag
-        `<extra></extra>`.
+        "categorycount", "colorcount" and "bandcolorcount" are only
+        available when `hoveron` contains the "color" flag. Finally,
+        the template string has access to variables `count`,
+        `probability`, `category`, `categorycount`, `colorcount` and
+        `bandcolorcount`. Anything contained in tag `<extra>` is
+        displayed in the secondary box, for example
+        `<extra>%{fullData.name}</extra>`. To hide the secondary box
+        completely, use an empty tag `<extra></extra>`.
 
@@ -623,5 +623,5 @@ The 'hovertemplate' property is a string and must be specified as:
             are available.  This value here applies when hovering
-            over dimensions. Note that `*categorycount`,
+            over dimensions. Note that "categorycount",
             "colorcount" and "bandcolorcount" are only available
-            when `hoveron` contains the "color" flagFinally, the
+            when `hoveron` contains the "color" flag. Finally, the
             template string has access to variables `count`,
@@ -807,5 +807,5 @@ `probability`, `category`, `categorycount`,
             are available.  This value here applies when hovering
-            over dimensions. Note that `*categorycount`,
+            over dimensions. Note that "categorycount",
             "colorcount" and "bandcolorcount" are only available
-            when `hoveron` contains the "color" flagFinally, the
+            when `hoveron` contains the "color" flag. Finally, the
             template string has access to variables `count`,
@@ -812,0 +812,0 @@ `probability`, `category`, `categorycount`,

plotly/graph_objs/layout/map/_layer.py

@@ -382,3 +382,3 @@ #                   --- THIS FILE IS AUTO-GENERATED ---
         "fill" and "symbol". With `sourcetype` set to "raster" or
-        `*image*`, only the "raster" value is allowed.
+        "image", only the "raster" value is allowed.
 
@@ -514,3 +514,3 @@ The 'type' property is an enumeration that may be specified as:
             and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
+            "image", only the "raster" value is allowed.
         visible
@@ -646,3 +646,3 @@ Determines whether this layer is displayed
             and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
+            "image", only the "raster" value is allowed.
         visible
@@ -649,0 +649,0 @@ Determines whether this layer is displayed

plotly/graph_objs/layout/mapbox/_layer.py

@@ -384,3 +384,3 @@ #                   --- THIS FILE IS AUTO-GENERATED ---
         "fill" and "symbol". With `sourcetype` set to "raster" or
-        `*image*`, only the "raster" value is allowed.
+        "image", only the "raster" value is allowed.
 
@@ -517,3 +517,3 @@ The 'type' property is an enumeration that may be specified as:
             and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
+            "image", only the "raster" value is allowed.
         visible
@@ -650,3 +650,3 @@ Determines whether this layer is displayed
             and "symbol". With `sourcetype` set to "raster" or
-            `*image*`, only the "raster" value is allowed.
+            "image", only the "raster" value is allowed.
         visible
@@ -653,0 +653,0 @@ Determines whether this layer is displayed

plotly/io/_kaleido.py

@@ -379,3 +379,21 @@ import os
 
-            # TODO: Refactor to make it possible to use a shared Kaleido instance here
+            width = (
+                width
+                or fig_dict.get("layout", {}).get("width")
+                or fig_dict.get("layout", {})
+                .get("template", {})
+                .get("layout", {})
+                .get("width")
+                or defaults.default_width
+            )
+            height = (
+                height
+                or fig_dict.get("layout", {}).get("height")
+                or fig_dict.get("layout", {})
+                .get("template", {})
+                .get("layout", {})
+                .get("height")
+                or defaults.default_height
+            )
+
             img_bytes = kaleido.calc_fig_sync(
@@ -385,4 +403,4 @@ fig_dict,
                     format=format or defaults.default_format,
-                    width=width or defaults.default_width,
-                    height=height or defaults.default_height,
+                    width=width,
+                    height=height,
                     scale=scale or defaults.default_scale,
@@ -389,0 +407,0 @@ ),

plotly/io/_renderers.py

@@ -488,3 +488,3 @@ import textwrap
     default_renderer = env_renderer
-elif ipython:
+elif ipython and ipython.get_ipython():
     # Try to detect environment so that we can enable a useful
@@ -491,0 +491,0 @@ # default renderer

plotly/labextension/package.json

@@ -22,3 +22,3 @@ {
     "lodash-es": "^4.17.21",
-    "plotly.js": "3.1.0",
+    "plotly.js": "3.1.1",
     "@lumino/widgets": "~2.4.0"
@@ -36,3 +36,3 @@ },
     "_build": {
-      "load": "static/remoteEntry.38ea05461c254e327731.js",
+      "load": "static/remoteEntry.6e6831fa75252e0d6206.js",
       "mimeExtension": "./mimeExtension"
@@ -39,0 +39,0 @@ }

plotly/matplotlylib/mplexporter/tests/test_utils.py

@@ -0,3 +1,4 @@
+import matplotlib.pyplot as plt
 from numpy.testing import assert_allclose, assert_equal
-from . import plt
+
 from .. import utils
@@ -4,0 +5,0 @@

plotly/matplotlylib/renderer.py

@@ -63,2 +63,4 @@ """
         self.msg = "Initialized PlotlyRenderer\n"
+        self._processing_legend = False
+        self._legend_visible = False
 
@@ -112,3 +114,2 @@ def open_figure(self, fig, props):
         """
-        self.plotly_fig["layout"]["showlegend"] = False
         self.msg += "Closing figure\n"
@@ -203,2 +204,33 @@
 
+    def open_legend(self, legend, props):
+        """Enable Plotly's native legend when matplotlib legend is detected.
+
+        This method is called when a matplotlib legend is found. It enables
+        Plotly's showlegend only if the matplotlib legend is visible.
+
+        Positional arguments:
+        legend -- matplotlib.legend.Legend object
+        props -- legend properties dictionary
+        """
+        self.msg += "  Opening legend\n"
+        self._processing_legend = True
+        self._legend_visible = props.get("visible", True)
+        if self._legend_visible:
+            self.msg += (
+                "    Enabling native plotly legend (matplotlib legend is visible)\n"
+            )
+            self.plotly_fig["layout"]["showlegend"] = True
+        else:
+            self.msg += "    Not enabling legend (matplotlib legend is not visible)\n"
+
+    def close_legend(self, legend):
+        """Finalize legend processing.
+
+        Positional arguments:
+        legend -- matplotlib.legend.Legend object
+        """
+        self.msg += "  Closing legend\n"
+        self._processing_legend = False
+        self._legend_visible = False
+
     def draw_bars(self, bars):
@@ -305,3 +337,3 @@ # sort bars according to bar containers
             self.msg += "    Heck yeah, I drew that bar chart\n"
-            (self.plotly_fig.add_trace(bar),)
+            self.plotly_fig.add_trace(bar)
             if bar_gap is not None:
@@ -316,79 +348,2 @@ self.plotly_fig["layout"]["bargap"] = bar_gap
 
-    def draw_legend_shapes(self, mode, shape, **props):
-        """Create a shape that matches lines or markers in legends.
-
-        Main issue is that path for circles do not render, so we have to use 'circle'
-        instead of 'path'.
-        """
-        for single_mode in mode.split("+"):
-            x = props["data"][0][0]
-            y = props["data"][0][1]
-            if single_mode == "markers" and props.get("markerstyle"):
-                size = shape.pop("size", 6)
-                symbol = shape.pop("symbol")
-                # aligning to "center"
-                x0 = 0
-                y0 = 0
-                x1 = size
-                y1 = size
-                markerpath = props["markerstyle"].get("markerpath")
-                if markerpath is None and symbol != "circle":
-                    self.msg += (
-                        "not sure how to handle this marker without a valid path\n"
-                    )
-                    return
-                # marker path to SVG path conversion
-                path = " ".join(
-                    [f"{a} {t[0]},{t[1]}" for a, t in zip(markerpath[1], markerpath[0])]
-                )
-
-                if symbol == "circle":
-                    # symbols like . and o in matplotlib, use circle
-                    # plotly also maps many other markers to circle, such as 1,8 and p
-                    path = None
-                    shape_type = "circle"
-                    x0 = -size / 2
-                    y0 = size / 2
-                    x1 = size / 2
-                    y1 = size + size / 2
-                else:
-                    # triangles, star etc
-                    shape_type = "path"
-                legend_shape = go.layout.Shape(
-                    type=shape_type,
-                    xref="paper",
-                    yref="paper",
-                    x0=x0,
-                    y0=y0,
-                    x1=x1,
-                    y1=y1,
-                    xsizemode="pixel",
-                    ysizemode="pixel",
-                    xanchor=x,
-                    yanchor=y,
-                    path=path,
-                    **shape,
-                )
-
-            elif single_mode == "lines":
-                mode = "line"
-                x1 = props["data"][1][0]
-                y1 = props["data"][1][1]
-
-                legend_shape = go.layout.Shape(
-                    type=mode,
-                    xref="paper",
-                    yref="paper",
-                    x0=x,
-                    y0=y + 0.02,
-                    x1=x1,
-                    y1=y1 + 0.02,
-                    **shape,
-                )
-            else:
-                self.msg += "not sure how to handle this element\n"
-                return
-            self.plotly_fig.add_shape(legend_shape)
-            self.msg += "    Heck yeah, I drew that shape\n"
-
     def draw_marked_line(self, **props):
@@ -505,7 +460,7 @@ """Create a data dict for a line obj.
                 )
-            (self.plotly_fig.add_trace(marked_line),)
+            self.plotly_fig.add_trace(marked_line)
             self.msg += "    Heck yeah, I drew that line\n"
         elif props["coordinates"] == "axes":
             # dealing with legend graphical elements
-            self.draw_legend_shapes(mode=mode, shape=shape, **props)
+            self.msg += "    Using native legend\n"
         else:
@@ -676,2 +631,12 @@ self.msg += "    Line didn't have 'data' coordinates, not drawing\n"
             self.msg += "      Text object is a normal annotation\n"
+            # Skip creating annotations for legend text when using native legend
+            if (
+                self._processing_legend
+                and self._legend_visible
+                and props["coordinates"] == "axes"
+            ):
+                self.msg += (
+                    "        Skipping legend text annotation (using native legend)\n"
+                )
+                return
             if props["coordinates"] != "data":
@@ -678,0 +643,0 @@ self.msg += "        Text object isn't linked to 'data' coordinates\n"

plotly/offline/_plotlyjs_version.py

 # DO NOT EDIT
 # This file is generated by the updatebundle commands.py command
-__plotlyjs_version__ = "3.1.0"
+__plotlyjs_version__ = "3.1.1"

pyproject.toml

@@ -35,3 +35,3 @@ [build-system]
 license = {file="LICENSE.txt"}
-version = "6.3.0"
+version = "6.3.1"
 dependencies = [
@@ -38,0 +38,0 @@ "narwhals>=1.15.1",

plotly/labextensio...tic/remoteEntry.38ea05461c254e327731.js

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Improved metrics

Total package byte prevSize

37786991

0.54%

Number of package files

1659

0.12%

Lines of code

630133

0.01%