Skip to content

test: add comprehensive test suite for main interface functions#7

Open
thorwhalen wants to merge 4 commits intomasterfrom
claude/improve-repository-comprehensive-011CV2gNPpkRH5X9crvt9Um3
Open

test: add comprehensive test suite for main interface functions#7
thorwhalen wants to merge 4 commits intomasterfrom
claude/improve-repository-comprehensive-011CV2gNPpkRH5X9crvt9Um3

Conversation

@thorwhalen
Copy link
Member

This commit adds 74 tests covering the main interface functions exported
by oplot.init.py:

  • test_matrix.py: Tests for heatmap, xy_boxplot, vlines_ranges, vlines_of_matrix
  • test_plot_data_set.py: Tests for density_distribution, scatter_and_color_according_to_y, side_by_side_bar
  • test_plot_stats.py: Tests for plot_confusion_matrix, make_tables_tn_fp_fn_tp, make_normal_outlier_timeline, render_mpl_table
  • test_distributions.py: Tests for kdeplot_w_boundary_condition
  • test_multiplots.py: Tests for ax_func_to_plot
  • test_outlier_scores.py: Tests for plot_scores_and_zones and related functions
  • test_plot_mappings.py: Tests for dict_bar_plot

All tests pass successfully (74/74). This provides a safety net for future
changes and validates current functionality.

This commit adds 74 tests covering the main interface functions exported
by oplot.__init__.py:

- test_matrix.py: Tests for heatmap, xy_boxplot, vlines_ranges, vlines_of_matrix
- test_plot_data_set.py: Tests for density_distribution, scatter_and_color_according_to_y, side_by_side_bar
- test_plot_stats.py: Tests for plot_confusion_matrix, make_tables_tn_fp_fn_tp, make_normal_outlier_timeline, render_mpl_table
- test_distributions.py: Tests for kdeplot_w_boundary_condition
- test_multiplots.py: Tests for ax_func_to_plot
- test_outlier_scores.py: Tests for plot_scores_and_zones and related functions
- test_plot_mappings.py: Tests for dict_bar_plot

All tests pass successfully (74/74). This provides a safety net for future
changes and validates current functionality.
…o_y (#1)

Fixed AttributeError: 'AxesSubplot' object has no attribute 'colorbar'
that occurred when plotting with continuous y values (floats).

The issue was on lines 298 and 324 where ax.colorbar() was incorrectly
called. Axes objects don't have a colorbar() method in matplotlib.

Changed to:
- Capture the scatter plot object in variable 'sc'
- Call fig.colorbar(sc, ax=ax) instead of ax.colorbar()

This fix applies to both 1D and 2D projection modes when using
continuous color mapping.

Fixes #1
Fixed issue where make_normal_outlier_timeline didn't respect the order
of class labels when y_order parameter was None.

Previously, the function used np.unique(y) which returns sorted unique
values, discarding the original order of appearance in the data.

Changed line 399 from:
    y_order = np.unique(y)

To:
    y_order = list(dict.fromkeys(y))

This preserves insertion order (order of first appearance) using
dict.fromkeys(), which maintains insertion order as of Python 3.7+.

For example, if y = ['C', 'A', 'B', 'C', 'A', 'B'], the order will now
be ['C', 'A', 'B'] instead of the alphabetically sorted ['A', 'B', 'C'].

Fixes #6
Added comprehensive analysis document covering:
- Main functionality overview (20+ exported functions)
- Test coverage assessment (was 0%, now has 74 tests)
- Documentation quality evaluation (excellent README)
- Detailed analysis of all 4 open issues:
  * #1: Fixed - colorbar AttributeError
  * #3: Enhancement request - needs user clarification
  * #5: Bug report - needs reproduction steps
  * #6: Fixed - class ordering not preserved
- Resolution strategy and commit plan
- Testing approach and priorities
- Recommendations for future work

This document provides a complete record of the comprehensive repository
improvement effort and serves as reference for maintainers.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants