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Add linear model with fixed default values of 0

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This commit is contained in:
usov_i 2021-04-07 14:59:04 +02:00
parent b2d1a0be02
commit 3db7dca7ba
2 changed files with 8 additions and 0 deletions
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4
pyzebra/app/panel_ccl_integrate.py
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@ -422,6 +422,10 @@ def create():
param=params, value=[None] * n, vary=[True] * n, min=[None] * n, max=[None] * n, param=params, value=[None] * n, vary=[True] * n, min=[None] * n, max=[None] * n,
) )
if function == "linear":
fitparams["value"] = [0, 0]
fitparams["vary"] = [False, False]
return fitparams return fitparams
fitparams_table_source = ColumnDataSource(dict(param=[], value=[], vary=[], min=[], max=[])) fitparams_table_source = ColumnDataSource(dict(param=[], value=[], vary=[], min=[], max=[]))

4
pyzebra/app/panel_param_study.py
View File

@ -516,6 +516,10 @@ def create():
param=params, value=[None] * n, vary=[True] * n, min=[None] * n, max=[None] * n, param=params, value=[None] * n, vary=[True] * n, min=[None] * n, max=[None] * n,
) )
if function == "linear":
fitparams["value"] = [0, 0]
fitparams["vary"] = [False, False]
return fitparams return fitparams
fitparams_table_source = ColumnDataSource(dict(param=[], value=[], vary=[], min=[], max=[])) fitparams_table_source = ColumnDataSource(dict(param=[], value=[], vary=[], min=[], max=[]))