pyspi.calculator.CalculatorFrame

class pyspi.calculator.CalculatorFrame(calculators=None, name=None, datasets=None, names=None, labels=None)

Container for batch level commands such as computing/pruning/initialising multiple datasets at once.

Example

from pyspi.calculator import CalculatorFrame
from pyspi.calculator import Calculator
from pyspi.data import Data

# provide dataset filepaths
datsets = ['../pyspi/data/cml.npy', '../pyspi/data/forex.npy', '../pyspi/data/standard_normal.npy']
# provide names for each dataset
dataset_names = ['cml', 'forex', 'standard_normal']
# optionally, provide labels for each dataset/calculator
dataset_labels = ['label1', 'label2', 'label3']

# create calculator frame
calc_frame = CalculatorFrame(
    name="MyCalculatorFrame",
    datasets = [Data(data=data, dim_order = 'sp') for data in datasets],
    names=dataset_names,
    labels=dataset_labels,
    subset = 'fast' # pass the subset parameter along to the calculators
)

# run compute on all calculators in the frame
calc_frame.compute()

# access the results table for dataset 1
calc_frame.calculators[0][0].table

# get correlation frame
cf = calc_frame.get_correlation_df()

__init__(calculators=None, name=None, datasets=None, names=None, labels=None, **kwargs)

Methods

Attributes

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