I try to display images inside a Jupyter notebook. To do that, I use a code like the following one:
import numpy as np
import matplotlib.pyplot as plt
for N in [20, 100, 300]:
x, y = np.meshgrid(np.linspace(1,N,N), np.linspace(1,N,N))
img = (x+y) % 2
plt.figure()
plt.imshow(img,cmap='gray')
plt.title("Image shape: " + str(img.shape));
I obtain the images below:
As you can see, the images are not properly displayed because they are resized so as to have the same size on the screen. Therefore, the images are interpolated (to the nearest neighbors), creating unwanted aliasing. This is too bad for image processing...
I tried to define figsize
and dpi
in figure
, but that not works.
To show the full data without any hiding, you can use pd. set_option('display. max_rows', 500) and pd.
first, change the type of the cell to -> markdown. Step 2: After that click edit in the jupyter notebook menu. after that click 'insert image'. Edit -> insert image.
If you want all the cells to display long outputs without scrolling, then go to the Cell tab -> All Outputs -> Toggle Scrolling . That's it !!!
Next, to increase the size of the plot in the jupyter notebook use plt. rcParams[“figure. figsize”] method and set width and height of the plot.
I used this & it worked:
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (width,height)
(Here width & height are in inches)
For more detail, you can have a look at this question
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