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Add layer information in histogram title
Fix Histogram Return Value
refactor histogram by returning hist_data
Spatial annos
| def heatmap_datashader(x, y, labels=None, theme=None, | ||
| x_axis_title="Component 1", y_axis_title="Component 2", | ||
| plot_title=None, **kwargs): | ||
| """ |
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Make sure the docstring follows the same format as the other functions in visualizations. Also make sure all your lines are < 80 chars in length
Parameters
----------
var_name: type, [optional/default]
description
Returns
-------
...
| logging.basicConfig(level=logging.INFO, | ||
| format='%(asctime)s - %(levelname)s - %(message)s') | ||
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| def heatmap_datashader(x, y, labels=None, theme=None, |
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Why is the input x and y, and not an adata object? I think all the spac functions are supposed to have adata as input
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This is a low-level function which is designed to only accept x and y coordinates. See visualize_2d_scatter() as an example which does not accept adata but rather x and y.
| 'inferno': ds.colors.inferno, | ||
| 'color_lookup': ds.colors.color_lookup, | ||
| } | ||
| cmap = themes.get(theme, ds.colors.viridis) # Default to 'viridis' if theme is not specified |
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George wants us to use the get_defined_color_map function to get the color_map from the adata object for consistency across functions
| heatmap_datashader(self.x, self.y, labels=wrong_labels) | ||
| self.assertIn("Labels length should match x and y length", str(context_manager.exception)) | ||
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Add a test of it running with valid inputs to make sure it returns a figure and correct number of subplots
| 'inferno': ds.colors.inferno, | ||
| 'color_lookup': ds.colors.color_lookup, | ||
| } | ||
| cmap = themes.get(theme, ds.colors.viridis) # Default to 'viridis' if theme is not specified |
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Move this comment to its own line so the line is >80 chars
…he import of unneccesary libraries
fix(select_values): added support when observation are numerical
Add comments UTAG tests
… added unit tests
…dataset fix(summarize_dataframe): remove duplicated missing index
…ncolor feat(visualize_nearest_neighbor): add pin-color and corresponding uni…
merge updated summarize_dataframe and visualize_nearest_neighbor with pin-color from dev to release_dev
…and helpers and unit test files individually
…nearest_neighbor feat(pin_color): add pin color feature to visualize nearest neighbor …
merge dev into release_dev with updated visualize_nearest_neighbor by adding pin-color feature
…nearest_neighbor fix(visualize_nearest_neighbor): rewrite unit tests and move up libr…
merge the updated visualize_nearest_neighbor function and unit tests from dev to dev_release
step: bumping minor version from 0.8 to 0.9
step: bumping minor version from 0.8 to 0.9
Minor version bumping from v0.8.0 to v0.9.0
10 participants
Created datashader heatmap function with faceted plots based off annotations as well as included test cases for usability.