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