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Use facecolor for the filled area, edgecolor for its border, hatch for the pattern, and hatchcolor for the hatch strokes. These are separate style settings on the collection returned by fill_between.
Set the fill, outline, and hatch colors separately
Pass the style arguments directly to ax.fill_between(). This example fills the region between zero and a sine curve where the curve is positive:
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 2 * np.pi, 200)
y = np.sin(x)
fig, ax = plt.subplots()
ax.plot(x, y, color="navy")
ax.fill_between(
x, 0, y,
where=y >= 0,
facecolor="lightblue",
edgecolor="navy",
hatch="//",
hatchcolor="crimson",
)
plt.show()The example uses the documented arguments; exact appearance depends on the rendering backend. fill_between fills between two curves, and its where argument can restrict the filled regions. See the fill_between API and the basic fill_between example.
What each setting controls
| Argument | Visual layer | How to use it |
|---|---|---|
facecolor or fc |
Interior of the filled polygon | Set the area color. Face colors may be supplied as one color or as a sequence cycled over patches. |
edgecolor or ec |
Polygon boundary | Set the outline color. The special value 'face' makes the outline match the face color. |
hatch |
Pattern | Use a non-empty pattern such as '/', 'x', or 'o'. Combine characters or repeat one to change the pattern composition or density. |
hatchcolor |
Hatch strokes | Set a color independently, or use 'edge' to match the outline color. |
The pyplot API returns a FillBetweenPolyCollection, and its style properties are collection properties. Hatching applies to the collection as a whole rather than being assigned separately to each polygon member. See the collections API.
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- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
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Why the hatch may not appear
A hatch pattern must be specified, and the active Matplotlib backend must support hatching. The official hatch reference lists PS, PDF, SVG, macosx, and Agg as supported; WX and Cairo are listed as unsupported. If the hatch is missing in a display or exported file, check which backend rendered it and whether the output format or viewer is the source of the difference. See the hatch style reference.
Version compatibility
The stable documentation pages cited here identify Matplotlib 3.11.2. The collections API notes that Collection.set_color also sets hatch color, “Changed in version 3.11”; that note concerns set_color and does not establish the first Matplotlib version that accepted hatchcolor. If supporting older installations, check the installed version’s API before relying on that argument.
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