HedTagSummary¶
- class HedTagSummary(sum_op)[source]
Manager of the HED tag summaries.
Methods
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Constructor for HED tag summary manager. |
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Return the summary-specific information in a dictionary. |
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Return a dictionary of the individual file summaries. |
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Return a summary dictionary with the information. |
Return a dictionary with the details for individual files and the overall dataset. |
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Return a complete text summary by assembling the individual pieces. |
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Return a text summary of the information represented by this summary. |
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Create a HedTagCounts containing the overall dataset HED tag summary. |
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Save the summaries using the format indicated. |
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Save the summary visualizations if any. |
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Convert a HedTagSummary json specifics dict into the word cloud input format. |
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Update the summary for a given tabular input file. |
Attributes
- HedTagSummary.__init__(sum_op)[source]¶
Constructor for HED tag summary manager.
- Parameters:
sum_op (SummarizeHedTagsOp) – Operation associated with this summary.
- static HedTagSummary.dump_summary(filename, summary)¶
- HedTagSummary.get_details_dict(tag_counts)[source]¶
Return the summary-specific information in a dictionary.
- Parameters:
tag_counts (HedTagCounts) – Contains the counts of tags in the dataset.
- Returns:
dictionary with the summary results.
- Return type:
dict
- HedTagSummary.get_individual(summary_details, separately=True)¶
Return a dictionary of the individual file summaries.
- Parameters:
summary_details (dict) – Dictionary of the individual file summaries.
separately (bool) – If True (the default), each individual summary has a header for separate output.
- HedTagSummary.get_summary(individual_summaries='separate')¶
Return a summary dictionary with the information.
- Parameters:
individual_summaries (str) – “separate”, “consolidated”, or “none”
- Returns:
dict - dictionary with “Dataset” and “Individual files” keys.
- Notes: The individual_summaries value is processed as follows:
“separate” individual summaries are to be in separate files.
“consolidated” means that the individual summaries are in same file as overall summary.
“none” means that only the overall summary is produced.
- HedTagSummary.get_summary_details(include_individual=True)¶
Return a dictionary with the details for individual files and the overall dataset.
- Parameters:
include_individual (bool) – If True, summaries for individual files are included.
- Returns:
dict - a dictionary with ‘Dataset’ and ‘Individual files’ keys.
Notes
The ‘Dataset’ value is either a string or a dictionary with the overall summary.
- The ‘Individual files’ value is dictionary whose keys are file names and values are
their corresponding summaries.
Users are expected to provide merge_all_info and get_details_dict functions to support this.
- HedTagSummary.get_text_summary(individual_summaries='separate')¶
Return a complete text summary by assembling the individual pieces.
- Parameters:
individual_summaries (str) – One of the values “separate”, “consolidated”, or “none”.
- Returns:
Complete text summary.
- Return type:
str
- Notes: The options are:
“none”: Just has “Dataset” key.
“consolidated” Has “Dataset” and “Individual files” keys with the values of each is a string.
“separate” Has “Dataset” and “Individual files” keys. The values of “Individual files” is a dict.
- HedTagSummary.get_text_summary_details(include_individual=True)¶
Return a text summary of the information represented by this summary.
- Parameters:
include_individual (bool) – If True (the default), individual summaries are in “Individual files”.
- HedTagSummary.merge_all_info()[source]¶
Create a HedTagCounts containing the overall dataset HED tag summary.
- Returns:
The overall dataset summary object for HED tag counts.
- Return type:
HedTagCounts
- HedTagSummary.save(save_dir, file_formats=['.txt'], individual_summaries='separate', task_name='')¶
Save the summaries using the format indicated.
- Parameters:
save_dir (str) – Name of the directory to save the summaries in.
file_formats (list) – List of file formats to use for saving.
individual_summaries (str) – Save one file or multiple files based on setting.
task_name (str) – If this summary corresponds to files from a task, the task_name is used in filename.
- HedTagSummary.save_visualizations(save_dir, file_formats=['.svg'], individual_summaries='separate', task_name='')[source]¶
Save the summary visualizations if any.
- Parameters:
save_dir (str) – Path to directory in which visualizations should be saved.
file_formats (list) – List of file formats to use in saving.
individual_summaries (str) – One of “consolidated”, “separate”, or “none” indicating what to save.
task_name (str) – Name of task if segregated by task.
- static HedTagSummary.summary_to_dict(specifics, transform=<ufunc 'log10'>, scale_adjustment=7)[source]¶
Convert a HedTagSummary json specifics dict into the word cloud input format.
- Parameters:
specifics (dict) – Dictionary with keys “Main tags” and “Other tags”.
transform (func) – The function to transform the number of found tags. Default log10
scale_adjustment (int) – Value added after transform.
- Returns:
a dict of the words and their occurrence count.
- Return type:
word_dict(dict)
- Raises:
KeyError – A malformed dictionary was passed.
- HedTagSummary.update_summary(new_info)[source]¶
Update the summary for a given tabular input file.
- Parameters:
new_info (dict) – A dictionary with the parameters needed to update a summary.
Notes
The summary needs a “name” str, a “schema”, a “df, and a “Sidecar”.
- HedTagSummary.DISPLAY_INDENT = ' '¶
- HedTagSummary.INDIVIDUAL_SUMMARIES_PATH = 'individual_summaries'¶