fix: pin pandas version in docker image

[singjc]

This pull request makes minor improvements to the data preparation logic in pyprophet/scoring/data_handling.py and updates the Python dependencies in the Dockerfile. The main focus is on ensuring the correct data types are used for newly created columns, which improves consistency and prevents potential issues during data processing.

Dependency update:

• Added pandas==2.2.3 to the list of Python dependencies in the Dockerfile to ensure the required version is installed.

Data type consistency improvements in prepare_data_table:

• Replaced the generic empty_col (a list of zeros) with more type-appropriate placeholders: empty_bool_col (list of False for boolean columns) and empty_float_col (list of 0.0 for float columns) for new columns in the data table.
• Updated the assignment of is_top_peak to use empty_bool_col for boolean consistency.
• Updated the assignment of classifier_score to use empty_float_col for float consistency.

[Copilot]

Pull request overview

This PR pins the pandas version in the Docker image build and tweaks data table construction to use dtype-appropriate default values for newly added columns, improving consistency during scoring/analysis.

Changes:

• Pin pandas==2.2.3 in the Docker image dependency install step.
• Use boolean/float placeholder columns in prepare_data_table for is_top_peak and classifier_score.
• Reformat pyprophet/glyco/report.py (mostly style/formatting changes).

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
pyprophet/scoring/data_handling.py	Uses typed placeholder columns (False/0.0) for new dataframe fields to keep dtypes consistent.
pyprophet/glyco/report.py	Large reformat (quotes/wrapping); no intentional functional changes apparent, but includes a small typo in a colormap name.
Dockerfile	Pins pandas to a specific version during image build.

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[Copilot]

The colormap name suffix is spelled "_transperent"; this looks like a typo and can make debugging/plot inspection harder. Consider renaming it to "_transparent" (and update any downstream references if they exist).

Suggested change

	return LinearSegmentedColormap.from_list(cmap.name + "_transperent", y, cmap.N)
	return LinearSegmentedColormap.from_list(cmap.name + "_transparent", y, cmap.N)

[Copilot]

This PR is described as focusing on pandas pinning and small dtype fixes, but this file also includes a large, mostly formatting-only refactor (quote style, line wrapping, etc.). To reduce review risk and avoid noisy diffs, please either (a) split these formatting changes into a separate PR or (b) explicitly call out the reformat in the PR description.