我在以下代码上遇到了问题(我切出了大块,但我可以将它们重新添加–这些看起来很重要)。在我的主代码中,我建立了一个绘图(“ sectionizePlot”),它是另一个晶须绘图(https://bokeh.pydata.org/en/latest/docs/user_guide/examples/plotting_whisker.html)的简单变体。我正在寻找动态更新。在同一脚本中,我使用的是热图(“ ModifiedGenericHeatMap”),该图可以正常更新。
有什么想法可以更新我的晶须图吗?更新ColumnDataSource似乎不起作用(这很有意义)。我想我在将每个圆/点分别添加到绘图上时遇到了问题。
一种想法是每次都清除图并手动将点添加到图中,但是每次都需要清除,我不确定该怎么做。
任何帮助,将不胜感激。我只是一个卑微的科学家,试图在医疗研究中利用Bokeh。
def ModifiedgenericHeatMap(source, maxPct):
colors = ["#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41", "#550b1d"]
#mapper = LinearColorMapper(palette=colors, low=0, high=data['count'].max())
mapper = LinearColorMapper(palette=colors, low=0, high=maxPct)
TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom"
globalDist = figure(title="derp",
x_range=cols, y_range=list(reversed(rows)),
x_axis_location="above", plot_width=1000, plot_height=400,
tools=TOOLS, toolbar_location='below')
globalDist.grid.grid_line_color = None
globalDist.axis.axis_line_color = None
globalDist.axis.major_tick_line_color = None
globalDist.axis.major_label_text_font_size = "5pt"
globalDist.axis.major_label_standoff = 0
globalDist.xaxis.major_label_orientation = pi / 3
globalDist.rect(x="cols", y="rows", width=1, height=1,
source=source,
fill_color={'field': 'count', 'transform': mapper},
line_color=None)
color_bar = ColorBar(color_mapper=mapper, major_label_text_font_size="5pt",
ticker=BasicTicker(desired_num_ticks=len(colors)),
# fix this via using a formatter with accounts for
formatter=PrintfTickFormatter(format="%d%%"),
label_standoff=6, border_line_color=None, location=(0, 0))
text_props = {"source": source, "text_align": "left", "text_baseline": "middle"}
x = dodge("cols", -0.4, range=globalDist.x_range)
r = globalDist.text(x=x, y=dodge("rows", 0.3, range=globalDist.y_range), text="count", **text_props)
r.glyph.text_font_size = "8pt"
globalDist.add_layout(color_bar, 'right')
globalDist.select_one(HoverTool).tooltips = [
('Well:', '@rows @cols'),
('Count:', '@count'),
]
return globalDist
def sectionizePlot(source, source_error, type, base):
print("sectionize plot created with typ: " + type)
colors = []
for x in range(0, len(base)):
colors.append(getRandomColor())
title = type + "-wise Intensity Distribution"
p = figure(plot_width=600, plot_height=300, title=title)
p.add_layout(
Whisker(source=source_error, base="base", upper="upper", lower="lower"))
for i, sec in enumerate(source.data['base']):
p.circle(x=source_error.data["base"][i], y=sec, color=colors[i])
p.xaxis.axis_label = type
p.yaxis.axis_label = "Intensity"
if (type.split()[-1] == "Row"):
print("hit a row")
conv = dict(enumerate(list("nABCDEFGHIJKLMNOP")))
conv.pop(0)
p.xaxis.major_label_overrides = conv
p.xaxis.ticker = SingleIntervalTicker(interval=1)
return p
famData = dict()
e1FractSource = ColumnDataSource(dict(count=[], cols=[], rows=[], index=[]))
e1Fract = ModifiedgenericHeatMap(e1FractSource, 100)
rowSectTotSource = ColumnDataSource(data=dict(base=[]))
rowSectTotSource_error = ColumnDataSource(data=dict(base=[], lower=[], upper=[]))
rowSectPlot_tot = sectionizePlot(rowSectTotSource,rowSectTotSource_error, "eSum Row", rowBase)
def update(selected=None):
global famData
famData = getFAMData(file_source_dt1, True)
global e1Stack
e1Fract = (famData['e1Sub'] / famData['eSum']) * 100
e1Stack = e1Fract.stack(dropna=False).reset_index()
e1Stack.columns = ["rows", "cols", "count"]
e1Stack['count'] = e1Stack['count'].apply(lambda x: round(x, 1))
e1FractSource.data = dict(cols=e1Stack["cols"], count=(e1Stack["count"]),
rows=e1Stack["rows"], index=e1Stack.index.values, codon=wells, )
rowData, colData = sectionize(famData['eSum'], rows, cols)
rowData_lower, rowData_upper = getLowerUpper(rowData)
rowBase = list(range(1, 17))
rowSectTotSource_error.data = dict(base=rowBase, lower=rowData_lower, upper=rowData_upper, )
rowSectTotSource.data = dict(base=rowData)
rowSectPlot_tot.title.text = "plot changed in update"
layout = column(e1FractSource, rowSectPlot_tot)
update()
curdoc().add_root(layout)
curdoc().title = "Specs"
print("ok")