cbook.get_sample_data('@公众号:数据STUDIO.jpg') as image_file: image = plt.imread(image_file) fig, ax = plt.subplots() ax.imshow(image) im = ax.imshow(image) patch = matplotlib.patches.Circle((1200, 900), radius=800, transform=ax.transData) im.set_clip_path(patch) ax.axis('off...
If you worry about, how to read and show an image using the matplotlib library then here you will get a solution for your problem using matplotlib imshow()
from PIL import Image img = Image.open("00.jpg") fig = plt.figure() fig.canvas.manager.window.SetPosition((300, 300)) fig.imshow(img) fig.show() 当类型为Qt5Agg时,可以这样写: import matplotlib import matplotlib.pyplot as plt from PIL import Image img = Image.open("00.jpg") fig =...
我们会发现,Seaborn 不仅有许多高级的画图功能,而且可以改写 Matplotlib 的默认参数,从而用简单的 Matplotlib 脚本获得更好的效果。可以用 Seaborn 的 set() 方法设置样式。为简便起见,将Seaborn 导入简记为 sns: import seaborn as sns sns,set() # 同样的画图代码 plt.plot(x,y) plt.legend('ABCDF',ncol=2...
# Showing an inline image with matplotlib in Jupyter Notebook You can also use the matplotlib and numpy modules to show an inline image in Jupyter Notebook. main.py from PIL import Image from matplotlib.pyplot import imshow import numpy as np %matplotlib inline pil_image = Image.open('image...
and run it with: python simple_plot.py --verbose-helpful 1. This will give you additional information about which backends matplotlib is loading, version information, and more. At this point you might want to make sure you understand matplotlib’sconfigurationprocess, governed by the matplotlibrc...
# save the plot as a PNG image file (optional) pylab.savefig('Fig1.png') # show the pylab plot window # you can zoom the graph, drag the graph, change the margins, save the graph pylab.show() === matplotlib compiled fine, but nothing...
plot_title ='_'.join(uid, str(i))# just display user uid and index of this imagetry: fig = plt.figure(plot_title) plt.imshow(img) plt.show()except:pass# allow matplotlib to crash without stopping other function 开发者ID:tacaswell,项目名称:xpdAcq,代码行数:31,代码来源:analysis.py ...
Too many people ask about how to display the plot in Juno (or think it doesn't work). I agree there is a difference making the plot and displaying the plot. However, this difference will matter to users as they become more familiar with ...
# 需要导入模块: import Part [as 别名]# 或者: from Part importshow[as 别名]defshowimage(fn):mpl=MatplotlibWidget() mpl.resize(100,100) mpl.show() plt=mpl.figure plt.clf() img2=mpimg.imread(fn) plt.figimage(img2) l,b,c=img2.shape ...