metobs_toolkit.sensordata.SensorData.get_qc_freq_statistics#

SensorData.get_qc_freq_statistics() → DataFrame[source]#

Generate quality control (QC) frequency statistics.

This method calculates the frequency statistics for various QC checks applied, including the number of records labeled as ‘good’, ‘gap’, and outliers for each QC check. The results are returned as a pandas DataFrame.

Returns:

A DataFrame containing the QC frequency statistics. The DataFrame has a multi-index with the station name and QC check label, and includes the following columns:

  • N_all: Total number of records in the dataset (including gaps).

  • N_labeled: Number of records with the specific label.

  • N_checked: Number of records checked for the specific QC check. This is not necessarily the same as N_all, as some records may be excluded from the check due to previous QC checks.

Return type:

pandas.DataFrame

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