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+---
+jupyter:
+ jupytext:
+ notebook_metadata_filter: all
+ text_representation:
+ extension: .md
+ format_name: markdown
+ format_version: '1.3'
+ jupytext_version: 1.17.0
+ kernelspec:
+ display_name: Python 3 (ipykernel)
+ language: python
+ name: python3
+ language_info:
+ codemirror_mode:
+ name: ipython
+ version: 3
+ file_extension: .py
+ mimetype: text/x-python
+ name: python
+ nbconvert_exporter: python
+ pygments_lexer: ipython3
+ version: 3.13.2
+ plotly:
+ description: A list of supported named CSS Colors
+ display_as: file_settings
+ language: python
+ layout: base
+ name: Supported CSS Colors
+ order: 40
+ page_type: example_index
+ permalink: python/css-colors/
+ thumbnail: thumbnail/shape.jpg
+---
+
+# Supported CSS Colors
+
+Many properties in Plotly.py for configuring colors support named CSS colors. For example, marker colors:
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure([
+ go.Bar(
+ x=['Jan', 'Feb', 'Mar', 'Apr'],
+ y=[20, 14, 25, 16],
+ name='Primary Product',
+ # Named CSS color
+ marker_color='indianred'
+ )
+])
+
+fig.show()
+```
+
+The following CSS colors are supported in Plotly.py when a property accepts a named CSS color:
+
+```python hide_code=true
+import plotly.graph_objects as go
+import pandas as pd
+
+supported_colors = ["aliceblue", "antiquewhite", "aqua", "aquamarine", "azure",
+ "beige", "bisque", "black", "blanchedalmond", "blue",
+ "blueviolet", "brown", "burlywood", "cadetblue",
+ "chartreuse", "chocolate", "coral", "cornflowerblue",
+ "cornsilk", "crimson", "cyan", "darkblue", "darkcyan",
+ "darkgoldenrod", "darkgray", "darkgrey", "darkgreen",
+ "darkkhaki", "darkmagenta", "darkolivegreen", "darkorange",
+ "darkorchid", "darkred", "darksalmon", "darkseagreen",
+ "darkslateblue", "darkslategray", "darkslategrey",
+ "darkturquoise", "darkviolet", "deeppink", "deepskyblue",
+ "dimgray", "dimgrey", "dodgerblue", "firebrick",
+ "floralwhite", "forestgreen", "fuchsia", "gainsboro",
+ "ghostwhite", "gold", "goldenrod", "gray", "grey", "green",
+ "greenyellow", "honeydew", "hotpink", "indianred", "indigo",
+ "ivory", "khaki", "lavender", "lavenderblush", "lawngreen",
+ "lemonchiffon", "lightblue", "lightcoral", "lightcyan",
+ "lightgoldenrodyellow", "lightgray", "lightgrey",
+ "lightgreen", "lightpink", "lightsalmon", "lightseagreen",
+ "lightskyblue", "lightslategray", "lightslategrey",
+ "lightsteelblue", "lightyellow", "lime", "limegreen",
+ "linen", "magenta", "maroon", "mediumaquamarine",
+ "mediumblue", "mediumorchid", "mediumpurple",
+ "mediumseagreen", "mediumslateblue", "mediumspringgreen",
+ "mediumturquoise", "mediumvioletred", "midnightblue",
+ "mintcream", "mistyrose", "moccasin", "navajowhite", "navy",
+ "oldlace", "olive", "olivedrab", "orange", "orangered",
+ "orchid", "palegoldenrod", "palegreen", "paleturquoise",
+ "palevioletred", "papayawhip", "peachpuff", "peru", "pink",
+ "plum", "powderblue", "purple", "red", "rosybrown",
+ "royalblue", "rebeccapurple", "saddlebrown", "salmon",
+ "sandybrown", "seagreen", "seashell", "sienna", "silver",
+ "skyblue", "slateblue", "slategray", "slategrey", "snow",
+ "springgreen", "steelblue", "tan", "teal", "thistle", "tomato",
+ "turquoise", "violet", "wheat", "white", "whitesmoke",
+ "yellow", "yellowgreen"]
+
+fig = go.Figure(layout=dict(title="Supported CSS Colors in Plotly.py"))
+
+for i, color in enumerate(supported_colors):
+ row, col = i // 5, i % 5
+ x0, y0 = col * 1.2, -row * 1.2
+
+ fig.add_shape(
+ type="rect",
+ x0=x0, y0=y0,
+ x1=x0+1, y1=y0+1,
+ fillcolor=color,
+ line=dict(color="black", width=0.2),
+ )
+
+ fig.add_annotation(
+ x=x0+0.5, y=y0-0.1,
+ text=color,
+ showarrow=False,
+ font=dict(size=10)
+ )
+
+height = ((len(supported_colors) // 5) + (1 if len(supported_colors) % 5 else 0)) * 120
+
+fig.update_layout(
+ height=height,
+ width=800,
+ showlegend=False,
+ plot_bgcolor='rgba(0,0,0,0)',
+ margin=dict(l=0, r=50, t=50, b=0),
+ xaxis=dict(
+ showgrid=False,
+ zeroline=False,
+ showticklabels=False,
+ range=[-0.5, 6]
+ ),
+ yaxis=dict(
+ showgrid=False,
+ zeroline=False,
+ showticklabels=False,
+ scaleanchor="x",
+ scaleratio=1,
+ range=[-((len(supported_colors) // 5) + 1) * 1.2, 1.5]
+ )
+)
+
+fig.show()
+```
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