This answer from a few years ago shows how you can make jupyter notebook create graphs as svg. The solution is to tell the InlineBackend to use svg as output. import matplotlib.pyplot as plt %matplotlib inline %config InlineBackend.figure_format = 'svg' plt.plot () This will cause all images to be in svg format inside the notebook as well as1. Title and paragraphs. Use headings to separate your text in subsections with titles and subtitles. This will allow you to make it look like a real text and not just a succession of sentences. The tag for titles is with xxx being a number, the lower the number the bigger the text. displayHTML (""".
It is an list of images (your input). import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation from IPython.display import HTML #===== # Create Fake Images using Numpy # You don't need this in your code as you have your own imageList. # This is used as an example.
2 Answers. You can imshow the image in its original resolution by calculating the corresponding figure size, which depends on the dpi (dots per inch) value of matplotlib. The default value is 100 dpi and is stored in matplotlib.rcParams ['figure.dpi']. import cv2 from matplotlib import pyplot as plt import matplotlib %matplotlib inline 如果你想使用Jupyter Notebook API(而不是IPython)，我找到了ipywidgets Jupyter的sub-project。 您有一个 Image 小部件。 Docstring指定您有一个字节的 value 参数。 I am working on a custom widget for Jupyter Notebook. The widget does not automatically load when a user opens their notebook, due mainly to the widget state not being found in the kernel. The feature at hand is to display an image instead, until the notebook loads. I have determined that a cell containing the following: ApdG. 57 905 8 493 917 568 124 492