我正在尝试使用绘制 png 图像ImageURL
本地存储在应用程序中的类./static
目录。在下面的代码中,当使用同一图像的 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 情况都可以正常工作。
散景服务--显示
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)
蟒蛇主.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)