2. Diagnostics (processor.utilities.diagnostics)
@author: Steinn Ymir Agustsson
- processor.utilities.diagnostics.binned_array_size(processor)[source]
Prints the expected size in memory of the binned array, computed with the current binning parameters
- processor.utilities.diagnostics.channel_report(dd)[source]
Generates a table containing relevant statistical quantities on all available channels [EXPENSIVE!!]
- Args:
dd (dask.DataFrame): Table to analyse
- Returns:
df (pandas.DataFrame): table with computed values
- Notes:
Author: Steinn Ymir Agustsson <sagustss@uni-mainz.de>
- processor.utilities.diagnostics.channel_statistics(dd, columns=None)[source]
Statistical overiview of the dataset.
The report contains minimum, maximum, amplitude(max-min), mean and standard deviation of each column.
- Args:
dd (dask.DataFrame): Table to analyse columns (list,None): list of columns to analyse, if None it checks all
columns in the dataframe.
- Returns:
df (pandas.DataFrame): table with computed values
- Notes:
Author: Steinn Ymir Agustsson <sagustss@uni-mainz.de>