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Co-authored-by: Demetris Roumis <[email protected]>
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'elements', | ||
'containers', | ||
'streams', | ||
'apps' | ||
'apps', | ||
'features', | ||
] | ||
} | ||
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "df229fb9-0a56-47b4-a8d2-72cab8782624", | ||
"metadata": {}, | ||
"source": [ | ||
"#### **Title**: Scalebar\n", | ||
"\n", | ||
"**Dependencies**: Bokeh\n", | ||
"\n", | ||
"**Backends**: [Bokeh](./Scalebar.ipynb)\n", | ||
"\n", | ||
"The `scalebar` feature overlays a scale bar on the element to help gauge the size of features on a plot. This is particularly useful for maps, images like CT or MRI scans, and other scenarios where traditional axes might be insufficient." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "1cee420f-3ad1-4b0c-ae66-b26d726d7a0a", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import holoviews as hv\n", | ||
"import numpy as np\n", | ||
"\n", | ||
"hv.extension(\"bokeh\")\n", | ||
"\n", | ||
"pollen = hv.RGB.load_image(\"../assets/pollen.png\", bounds=(-10, -5, 10, 15)).opts(scalebar=True)\n", | ||
"pollen" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "d58cb23b-206b-4368-aed7-b083a7766320", | ||
"metadata": {}, | ||
"source": [ | ||
"Zoom in and out to see the scale bar dynamically adjust." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "04f983fc-69cf-4b79-bdd2-6e437366167d", | ||
"metadata": {}, | ||
"source": [ | ||
"### Custom Units" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "298933cc-8122-4252-b510-fca24f07326b", | ||
"metadata": {}, | ||
"source": [ | ||
"By default, the `scalebar` uses meters. To customize the units, use the `scalebar_unit` parameter, which accepts a tuple of two strings: the first for the actual measurement and the second for the base unit that remains invariant regardless of scale. In the example below, the y-axis unit is micro-volts (`µV`), and the base unit is Volts (`V`).\n", | ||
"\n", | ||
"You can also apply a unit to the y-label independently of the scale bar specification using `hv.Dimension`." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "1140d0c9-5538-477c-b461-82f09648bd1c", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"dim = hv.Dimension('Voltage', unit='µV')\n", | ||
"hv.Curve(np.random.rand(1000), ['time'], [dim]).opts(\n", | ||
" width=400,\n", | ||
" scalebar=True,\n", | ||
" scalebar_range='y',\n", | ||
" scalebar_unit=('µV', 'V'),\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "39af797f-4ea2-449b-96c7-eb7d0da8394e", | ||
"metadata": {}, | ||
"source": [ | ||
"### Customization\n", | ||
"\n", | ||
"In the plot above, you can see that we applied the scalebar to the y-axis by specifying the `scalebar_range` argument. Below are further customization options for the scalebar:\n", | ||
"\n", | ||
"- The `scalebar_location` parameter defines the positioning anchor for the scalebar, with options like \"bottom_right\", \"top_left\", \"center\", etc.\n", | ||
"- The `scalebar_label` parameter allows customization of the label template, using variables such as `@{value}` and `@{unit}`.\n", | ||
"- The `scalebar_opts` parameter enables specific styling options for the scalebar, as detailed in the [Bokeh's documentation](https://docs.bokeh.org/en/latest/docs/reference/models/annotations.html#bokeh.models.ScaleBar).\n", | ||
"\n", | ||
"All these parameters are only utilized if `scalebar` is set to `True` in `.opts()`." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0ab063b3-d1cb-40b4-9fa7-a5860932c16d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"dim = hv.Dimension('Voltage', unit='µV')\n", | ||
"hv.Curve(np.random.rand(1000), ['time'], [dim]).opts(\n", | ||
" color='lightgrey',\n", | ||
" width=400,\n", | ||
" scalebar=True,\n", | ||
" scalebar_range='y',\n", | ||
" scalebar_unit=('µV', 'V'),\n", | ||
" scalebar_location = 'top_right',\n", | ||
" scalebar_label = '@{value} [@{unit}]',\n", | ||
" scalebar_opts={\n", | ||
" 'background_fill_alpha': 0,\n", | ||
" 'border_line_color': None,\n", | ||
" 'label_text_font_size': '20px',\n", | ||
" 'label_text_color': 'maroon',\n", | ||
" 'label_text_alpha': .5,\n", | ||
" 'label_location': 'left',\n", | ||
" 'length_sizing': 'exact',\n", | ||
" 'bar_length': 0.5,\n", | ||
" 'bar_line_color': 'maroon',\n", | ||
" 'bar_line_alpha': .5, \n", | ||
" 'bar_line_width': 5,\n", | ||
" 'margin': 0,\n", | ||
" 'padding': 5,\n", | ||
" },\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "871c7b55-353e-4ec6-8b79-bf1299cd2a45", | ||
"metadata": {}, | ||
"source": [ | ||
"### Toolbar \n", | ||
"\n", | ||
"The scalebar tool is added to the toolbar with a measurement ruler icon. Toggling this icon will either hide or show the scalebars. To remove scalebar icon from the toolbar, set `scalebar_tool = False`.\n" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python", | ||
"pygments_lexer": "ipython3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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examples/reference/features/bokeh/table_hooks_example.ipynb
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