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OpenMNGLab 0 documentation

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API Reference

  • openmnglab
    • openmnglab.datamodel
      • openmnglab.datamodel.exceptions
        • openmnglab.datamodel.exceptions.DataSchemaCompatibilityError
        • openmnglab.datamodel.exceptions.DataSchemaConformityError
        • openmnglab.datamodel.exceptions.DataSchemaError
      • openmnglab.datamodel.matplot
        • openmnglab.datamodel.matplot.model
      • openmnglab.datamodel.pandas
        • openmnglab.datamodel.pandas.model
        • openmnglab.datamodel.pandas.schemas
        • openmnglab.datamodel.pandas.verification
    • openmnglab.execution
      • openmnglab.execution.exceptions
        • openmnglab.execution.exceptions.ExecutionException
        • openmnglab.execution.exceptions.FunctionError
        • openmnglab.execution.exceptions.FunctionExecutionError
        • openmnglab.execution.exceptions.FunctionInputError
        • openmnglab.execution.exceptions.FunctionOutputError
        • openmnglab.execution.exceptions.FunctionReturnCountMissmatch
        • openmnglab.execution.exceptions.StageExecutionError
      • openmnglab.execution.singlethreaded
        • openmnglab.execution.singlethreaded.SingleThreadedExecutor
    • openmnglab.model
      • openmnglab.model.datamodel
        • openmnglab.model.datamodel.interface
      • openmnglab.model.execution
        • openmnglab.model.execution.interface
      • openmnglab.model.functions
        • openmnglab.model.functions.interface
      • openmnglab.model.planning
        • openmnglab.model.planning.interface
        • openmnglab.model.planning.plan
    • openmnglab.planning
      • openmnglab.planning.base
        • openmnglab.planning.base.check_input
        • openmnglab.planning.base.DataReference
        • openmnglab.planning.base.ExecutionPlan
        • openmnglab.planning.base.PlannerBase
      • openmnglab.planning.default
        • openmnglab.planning.default.DefaultPlanner
        • openmnglab.planning.default.Stage
        • openmnglab.planning.default.VirtualData
      • openmnglab.planning.exceptions
        • openmnglab.planning.exceptions.FunctionArgumentSchemaError
        • openmnglab.planning.exceptions.FunctionArgumentsError
        • openmnglab.planning.exceptions.InvalidFunctionArgumentCountError
        • openmnglab.planning.exceptions.PlanningError
    • openmnglab.util
      • openmnglab.util.dicts
        • openmnglab.util.dicts.get_and_incr
        • openmnglab.util.dicts.get_any
        • openmnglab.util.dicts.get_any_key
        • openmnglab.util.dicts.group_dict
        • openmnglab.util.dicts.setfactory
      • openmnglab.util.hashing
        • openmnglab.util.hashing.HashBuilder
      • openmnglab.util.iterables
        • openmnglab.util.iterables.ensure_iterable
        • openmnglab.util.iterables.ensure_sequence
        • openmnglab.util.iterables.unpack_sequence
      • openmnglab.util.pandas
        • openmnglab.util.pandas.ensure_dataframe
        • openmnglab.util.pandas.index_names
        • openmnglab.util.pandas.iterdfcols
        • openmnglab.util.pandas.pandas_names
      • openmnglab.util.seaborn
        • openmnglab.util.seaborn.Theme
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openmnglab.datamodel.pandas.schemas

openmnglab.datamodel.pandas.schemas#

Functions

float_timeseries(name[, index_name])

sorted_spikes()

stimulus_list()

str_eventseries(name[, index_name])

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openmnglab.datamodel.pandas.model.PanderaSchemaAcceptor

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openmnglab.datamodel.pandas.schemas.float_timeseries

By Peter Konradi

© Copyright 2023, Peter Konradi.