scibeam.util package

Submodules

scibeam.util.folderstruct module

class scibeam.util.folderstruct.Folder(pathStr)[source]

Bases: scibeam.core.base.Defaults

path
query(regex='.*_(\\d+\\.?\\d+).*.lvm$')[source]
class scibeam.util.folderstruct.FolderTools[source]

Bases: object

static query(path, regex='.*_(\\d+\\.?\\d+).*.lvm$')[source]
query_gen(regex='.*_(\\d+\\.?\\d+).*.lvm$')[source]

scibeam.util.io module

class scibeam.util.io.Loader(addressDict)[source]

Bases: object

fileDict
load(ncol=2)[source]
static toDataFrame(data)[source]

Convert dictionary structured time series data into pandas DataFrame

[Input] Data loaded by method loadFromDict

[Output] Pandas dataframe if 2D data or dictionary of dataframes if 3D data

scibeam.util.multiframe module

class scibeam.util.multiframe.MultiFrame(items)[source]

Bases: object

scibeam.util.pipeline module

class scibeam.util.pipeline.Pipeline(steps, momery=None)[source]

Bases: object

__init__(steps, momery=None)[source]

[(name, func, func_kwargs)]

apply(inputs)[source]
names
params
tasks

Module contents