在Bokeh Serve应用程序中绘制本地图像 [英] Plotting local images within Bokeh serve application

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本文介绍了在Bokeh Serve应用程序中绘制本地图像的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试使用ImageURL类绘制PNG图像,该类存储在应用程序./static目录中。在下面的代码中,当使用指向相同图像的Web URL时,它会按预期工作,但所有创建本地URL的尝试都会失败。此外,当运行基本相同的代码并输出到文件时,所有url用例都能正常工作。

bokeh发球--show

import os
import numpy as np
from bokeh.plotting import curdoc
from bokeh.models import ColumnDataSource, Range1d, Plot
from bokeh.models.glyphs import ImageURL

url= "http://pngimg.com/uploads/palm_tree/palm_tree_PNG2504.png", # works
# url= "static/palm.png", # 404 GET /static/palm.png
# url=os.path.join(os.path.dirname(__file__), 'palm.png'), # 404 GET /Volumes/Home/Code/scratch/palm.png
# url='file://'+os.path.join(os.path.dirname(__file__), 'static', 'palm.png'),
N = 1
source = ColumnDataSource(dict(
    url = [url]*N,
    x1  = np.linspace(  1, 1, N),
    y1  = np.linspace(  1, 1, N),
    w1  = np.linspace( 253,  253, N),
    h1  = np.linspace( 409,  409, N),
))
p = Plot(
    title=None, 
    x_range=Range1d(start=0, end=500), 
    y_range=Range1d(start=0, end=500), 
    plot_width=500, 
    plot_height=500,
    h_symmetry=False, 
    v_symmetry=False, 
    min_border=0, 
    toolbar_location=None
)
p.add_glyph(source, ImageURL(url="url", x="x1", y="y1", w="w1", h="h1", anchor="bottom_left"))
curdoc().add_root(p)

python main.py

from bokeh.plotting import show, output_file
output_file("tbe.html")

import os
import numpy as np
from bokeh.plotting import curdoc
from bokeh.models import ColumnDataSource, Range1d, Plot
from bokeh.models.glyphs import ImageURL
# all work
url = "http://pngimg.com/uploads/palm_tree/palm_tree_PNG2504.png", 
url = "static/palm.png",
url = os.path.join(os.path.dirname(__file__), 'static', 'palm.png'),
url ='file://'+os.path.join(os.path.dirname(__file__), 'static', 'palm.png'),
N = 1
source = ColumnDataSource(dict(
    url = [url]*N,
    x1  = np.linspace(  1, 1, N),
    y1  = np.linspace(  1, 1, N),
    w1  = np.linspace( 253,  253, N),
    h1  = np.linspace( 409,  409, N),
))
p = Plot(
    title=None, 
    x_range=Range1d(start=0, end=500), 
    y_range=Range1d(start=0, end=500), 
    plot_width=500, 
    plot_height=500,
    h_symmetry=False, 
    v_symmetry=False, 
    min_border=0, 
    toolbar_location=None
)
p.add_glyph(source, ImageURL(url="url", x="x1", y="y1", w="w1", h="h1", anchor="bottom_left"))
show(p)

推荐答案

this answer中所述,您必须从脚本上方的目录bokeh serve开始(这意味着您必须将脚本重命名为main.py)。您可以使用Then:

url = os.path.join(os.path.basename(os.path.dirname(__file__)), "static", "palm.png")

例如:

your_folder/
  +main.py
  +static/
    +palm.png

启动bokeh为bokeh serve your_folder --show。得到的映像的可访问地址将是http://localhost:5006/your_folder/static/palm.png

这篇关于在Bokeh Serve应用程序中绘制本地图像的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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