[英]How to delete/add rows in Bokeh heatmap and maintain row height?
我制作了一个 Bokeh 热图链接到 CheckBoxGroup,以便 CheckBoxGroup 中的活动项目对应于热图中显示的行。 即选中/取消选中 CheckBoxGroup 中的框会添加或删除热图中的行。 一切正常,除了我希望热图的行保持相同的高度,而不管热图中有多少行。 实际发生的是保留热图的原始高度,并调整行的大小以适应原始高度。
我在这里有一个 MWE:
from bokeh.io import output_file, show
from bokeh.models import ColorBar, ColumnDataSource, LinearColorMapper
from bokeh.plotting import figure
from bokeh.transform import transform
from bokeh.layouts import row, widgetbox
from bokeh.models.callbacks import CustomJS
from bokeh.models.widgets import CheckboxGroup
import pandas as pd
output_file("test.html")
# set up data
df = pd.DataFrame([["1", "1", 0.09], ["2", "1", 0.21], ["3", "1", 0.31], ["4", "1", 0.41],
["1", "2", 0.5], ["2", "2", 0.61], ["3", "2", 0.71], ["4", "2", 0.81]],
columns=["x", "y", "values"])
# source data for plot
source = ColumnDataSource(df)
# original source dataset, does not get changed
savedsource = ColumnDataSource(df)
# set up plot
colors = ["#5A736F", "#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41",
"#550b1d"]
mapper = LinearColorMapper(palette=colors, low=0, high=1)
p = figure(title="Test", plot_width=200, plot_height=240,
x_range=["1", "2", "3", "4"], y_range=["1", "2"],
toolbar_location=None, tools="", x_axis_location="above")
p.rect(x="x", y="y", width=1, height=1, source=source,
line_color=None, fill_color=transform('values', mapper))
p.axis.axis_line_color = None
p.axis.major_tick_line_color = None
p.axis.major_label_text_font_size = "9pt"
p.axis.major_label_standoff = 0
p.xaxis.major_label_orientation = 1.0
# Create the checkbox selection element
rows = ["1", "2"]
selection = CheckboxGroup(labels=rows,
active=[i for i in range(0, len(rows))])
callback = CustomJS(args=dict(source=source, savedsource=savedsource, plot=p),
code="""
// get selected checkboxes
var active = cb_obj.active;
// get full original dataset
var origdata = savedsource.data;
// number of x-values
var numxs = plot.x_range.factors.length;
// this will be the new dataset
var newdata = {"index": [], "values": [], "x": [], "y": []};
// new y labels
var newlabels = [];
// slice out the data we want and put it into newdata
var i, j;
for (j=0; j<active.length; j++)
{
i = active[j]; // next active checkbox
newdata.index.push(...origdata.index.slice(i*numxs, i*numxs + numxs));
newdata.values.push(...origdata.values.slice(i*numxs, i*numxs + numxs));
newdata.x.push(...origdata.x.slice(i*numxs, i*numxs + numxs));
newdata.y.push(...origdata.y.slice(i*numxs, i*numxs + numxs));
newlabels.push(...origdata.y.slice(i*numxs, i*numxs + 1));
}
// replace the plot source data with newdata
source.data = newdata;
// update the yrange to reflect the deleted data
plot.y_range.factors = newlabels;
plot.y_range.end = newlabels.length;
source.change.emit();
""")
selection.js_on_change('active', callback)
layout = row(widgetbox(selection), p)
show(layout)
我试过改变 plot.plot_height 和 plot.height_policy 但似乎都没有任何效果。
在CustomJS
回调的最后CustomJS
行中,在update the yrange to reflect the deleted data
注释之后,您明确更改了范围 - 这正是使绘图表现出其行为方式的原因。
只需删除source.data = newdata;
之后的所有内容source.data = newdata;
- 你不需要source.change.emit();
要么因为您更改了整个数据属性。
这里需要的是在回调中调整frame_height
并调用plot.properties.height.change.emit()
- 从这里得到一些帮助回答: https : plot.properties.height.change.emit()
添加行散景热图和维护行高度/4917/10
最终 MWE:
from bokeh.io import output_file, show
from bokeh.models import ColorBar, ColumnDataSource, LinearColorMapper
from bokeh.plotting import figure
from bokeh.transform import transform
from bokeh.layouts import row, widgetbox
from bokeh.models.callbacks import CustomJS
from bokeh.models.widgets import CheckboxGroup
import pandas as pd
output_file("test.html")
# set up data
df = pd.DataFrame([["1", "1", 0.09], ["2", "1", 0.21], ["3", "1", 0.31], ["4", "1", 0.41],
["1", "2", 0.5], ["2", "2", 0.61], ["3", "2", 0.71], ["4", "2", 0.81]],
columns=["x", "y", "values"])
# source data for plot
source = ColumnDataSource(df)
# original source dataset, does not get changed
savedsource = ColumnDataSource(df)
# set up plot
colors = ["#5A736F", "#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41",
"#550b1d"]
mapper = LinearColorMapper(palette=colors, low=0, high=1)
p = figure(title="Test", plot_width=200, plot_height=240,
x_range=["1", "2", "3", "4"], y_range=["1", "2"],
toolbar_location=None, tools="", x_axis_location="above")
p.frame_height = 240 # 2 rows of height 120
p.rect(x="x", y="y", width=1, height=1, source=source,
line_color=None, fill_color=transform('values', mapper))
p.axis.axis_line_color = None
p.axis.major_tick_line_color = None
p.axis.major_label_text_font_size = "9pt"
p.axis.major_label_standoff = 0
p.xaxis.major_label_orientation = 1.0
# Create the checkbox selection element
rows = ["1", "2"]
selection = CheckboxGroup(labels=rows,
active=[i for i in range(0, len(rows))])
callback = CustomJS(args=dict(source=source, savedsource=savedsource, plot=p),
code="""
// get selected checkboxes
var active = cb_obj.active;
// get full original dataset
var origdata = savedsource.data;
// number of x-values
var numxs = plot.x_range.factors.length;
// this will be the new dataset
var newdata = {"index": [], "values": [], "x": [], "y": []};
// new y labels
var newlabels = [];
// slice out the data we want and put it into newdata
var i, j;
for (j=0; j<active.length; j++)
{
i = active[j]; // next active checkbox
newdata.index.push(...origdata.index.slice(i*numxs, i*numxs + numxs));
newdata.values.push(...origdata.values.slice(i*numxs, i*numxs + numxs));
newdata.x.push(...origdata.x.slice(i*numxs, i*numxs + numxs));
newdata.y.push(...origdata.y.slice(i*numxs, i*numxs + numxs));
newlabels.push(...origdata.y.slice(i*numxs, i*numxs + 1));
}
// replace the plot source data with newdata
source.data = newdata;
// update the yrange to reflect the deleted data
plot.y_range.factors = newlabels;
plot.y_range.end = newlabels.length;
// update plot height
new_height = newlabels.length * 120; //rowheight is 120
plot.frame_height = new_height;
plot.properties.height.change.emit();
""")
selection.js_on_change('active', callback)
layout = row(widgetbox(selection), p)
show(layout)
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