[英]How do I manually set the limits of a holoview's colorbar?
When I try to input my own ticker... 当我尝试输入我自己的股票代码时......
In an earlier cell... 在较早的细胞中......
ticker = FixedTicker(ticks=range(0, 10))
In the following cell... 在以下单元格中......
%%opts HeatMap [colorbar=True colorbar_opts={'ticker': ticker}]
I get... 我明白了......
TypeError [Call holoviews.ipython.show_traceback() for details]
MetaModel object got multiple values for keyword argument 'ticker'
Here's the traceback... 这是追溯......
File "/Users/ahuang11/anaconda3/envs/tf/lib/python3.6/site-packages/holoviews/plotting/bokeh/element.py", line 757, in _init_glyphs
renderer, glyph = self._init_glyph(plot, mapping, properties)
File "/Users/ahuang11/anaconda3/envs/tf/lib/python3.6/site-packages/holoviews/plotting/bokeh/element.py", line 1201, in _init_glyph
self._draw_colorbar(plot, self.handles['color_mapper'])
File "/Users/ahuang11/anaconda3/envs/tf/lib/python3.6/site-packages/holoviews/plotting/bokeh/element.py", line 1100, in _draw_colorbar
**dict(opts, **self.colorbar_opts))
TypeError: MetaModel object got multiple values for keyword argument 'ticker'
The color range and all other ranges can be set on the Dimension
objects of HoloViews Elements. 可以在HoloViews Elements的
Dimension
对象上设置颜色范围和所有其他范围。 When you declare a HeatMap
three (or more) dimensions are created. 声明
HeatMap
会创建三个(或更多)维度。 The first two are the key dimensions ( kdims
) corresponding to the x- and y-axis of the HeatMap. 前两个是与
kdims
的x轴和y轴对应的关键尺寸( kdims
)。 Secondly there are two or more value dimensions ( vdims
) the first of which is mapped to the color range. 其次,有两个或多个值维度(
vdims
),其中第一个映射到颜色范围。 Dimension ranges can be explicitly declared when constructing the object. 可以在构造对象时显式声明维度范围。 Here we set the color of the 'z' Dimension, which should be the name of whatever column you are plotting:
在这里我们设置'z'维度的颜色,它应该是您正在绘制的任何列的名称:
hv.HeatMap(..., vdims=hv.Dimension('z', range=(0, 10)))
You can also use the redim
interface to override the range after the fact. 您也可以使用
redim
界面覆盖事后的范围。 This will also work when you have a collection of objects, as it will set the range recursively on all objects which contain that dimension and return a new object. 当您拥有一组对象时,这也将起作用,因为它将在包含该维度的所有对象上递归设置范围并返回一个新对象。 That looks something like this:
看起来像这样:
heatmap = hv.HeatMap(...)
redimensioned_heatmap = heatmap.redim.range(z=(0, 10))
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