utils/plot: handle empty data in auto_adjust_colormap_lut_and_disp_limit

[frx08]

Description of proposed changes

Fix ValueError: zero-size array to reduction operation minimum in
auto_adjust_colormap_lut_and_disp_limit.

• Handle the case where input data has no finite values.
• Return neutral display limits [0.0, 0.0] and None LUT when no valid pixels are found.
• Prevents crashes in view.py plotting when datasets are fully NaN/invalid.

Reminders

• Fix #xxxx
• Pass Pre-commit check (green)
• Pass Codacy code review (green)
• Pass Circle CI test (green)
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Summary by Sourcery

Handle empty or fully invalid data in auto_adjust_colormap_lut_and_disp_limit by returning default neutral display limits and None LUT instead of crashing

Bug Fixes:

• Avoid ValueError from zero-size array reduction when no finite values are present

Enhancements:

• Warn when no valid pixels are found and return display limits [0.0, 0.0] with a None LUT

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

The PR updates auto_adjust_colormap_lut_and_disp_limit to gracefully handle cases where the input data contains no finite values by early exiting with default display limits and prevents crashes by refactoring the way unique values are extracted.

File-Level Changes

Change	Details	Files
Introduce empty-data handling with default return	Mask invalid entries and create finite_values array Check for zero-size finite_values Print warning and return neutral limits [0.0, 0.0] with None LUT	src/mintpy/utils/plot.py
Refactor unique value computation to use masked finite data	Replace direct NaN filtering with np.unique on finite_values	src/mintpy/utils/plot.py

Possibly linked issues

• update HyP3 example dataset RidgecrestSenDT71 #1182: The PR handles empty datasets in plotting, preventing view.py crashes from NaN values as reported in the issue.

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