散景图像字形将图像上下颠倒显示 [英] Bokeh image glyph displays image upside-down
本文介绍了散景图像字形将图像上下颠倒显示的处理方法,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
散景图像字形显示的图像上下颠倒,并且y轴不符合图像显示标准,其中刻度线零从顶部开始(矩阵符号).
Bokeh image glyph shows images upside-down and y-axis does not conform to standards of image display, where tick mark zero starts at the top (matrix-like notation).
from scipy.misc import lena
import bokeh.plotting as bp
import matplotlib.pyplot as plt
bp.output_notebook()
%matplotlib inline
lena_img = lena()/256.0
plt.figure(figsize=(10, 10))
plt.imshow(lena_img, cmap='gray')
plt.show()
f1 = bp.figure(plot_width=512, plot_height=512,
x_range=[0, 512], y_range=[0, 512], logo='grey')
f1.image(image=image=[lena_img], x=[0], y=[0],
dw=[512], dh=[512], palette='Greys9')
f1.title = 'Lena upside-down'
f1.title_text_color = 'red'
f1.title_text_font_style = 'bold'
bp.show(f1)
除了翻转图像lena_img[::-1, :]
之外,还有其他解决方案吗?仍然使y轴处于坐标系模式.
Is there a solution other than flipping image lena_img[::-1, :]
? This still leaves y-axis in coordinate system mode.
推荐答案
Bokeh图像绘图存在相同的问题.唯一适合我的方法是在绘制img
之前添加img=np.flipud(img)
.当然,您必须事先导入numpy.
Same issue with Bokeh image plot.The only thing that worked for me was adding img=np.flipud(img)
before plotting img
. Of course you will have to import numpy beforehand.
希望有帮助!
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