Collection of imagesΒΆ

[1]:
import seaborn_image as isns

isns.set_context("notebook")
/home/docs/checkouts/readthedocs.org/user_builds/seaborn-image/envs/latest/lib/python3.8/site-packages/traitlets/traitlets.py:3044: FutureWarning: --rc={'figure.dpi': 96} for dict-traits is deprecated in traitlets 5.0. You can pass --rc <key=value> ... multiple times to add items to a dict.
  warn(
[2]:
pl = isns.load_image("fluorescence")
polymer = isns.load_image("polymer")

img_coll = [pl, polymer]

We will now see how to plot the collection of images on a grid

[3]:
g = isns.ImageGrid(img_coll)
../_images/Tutorial_Image_Collection_4_0.svg

Different scalebars for different images

[4]:
g = isns.ImageGrid(img_coll, dx=[0.1, 0.015], units="um")
../_images/Tutorial_Image_Collection_6_0.svg

Different colormaps and colorbar titles

[5]:
g = isns.ImageGrid(
    img_coll,
    cmap=["deep", "magma"],
    cbar_label=["PL Intensity", "Height (nm)"],
    height=5
    )
../_images/Tutorial_Image_Collection_8_0.svg

Apply parameters to specific images. Here, we apply robust parameter only to a specific image.

[6]:
pol_outliers = isns.load_image("polymer outliers")

img_coll.append(pol_outliers)

g = isns.ImageGrid(
    img_coll,
    robust=[False, False, True],
    perc=[None, None, (0.5, 99.5)],
    height=5
    )
../_images/Tutorial_Image_Collection_10_0.svg
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