Skip to content

fortsatte på p-value plots, la inn flere filter og mer interaktivitet #372

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 10 commits into from
Jul 2, 2020
Merged

fortsatte på p-value plots, la inn flere filter og mer interaktivitet #372

Changes from all commits
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
be8e0dd
added basic working regression plugin
JosteinGj Jul 1, 2020
bfda3ec
Merge branch 'master' of github.com:JosteinGj/webviz-subsurface
JosteinGj Jul 1, 2020
75c4b92
Merge branch 'group-b-test' of github.com:equinor/webviz-subsurface
JosteinGj Jul 2, 2020
0c7b177
testing
JosteinGj Jul 2, 2020
b64fcc6
testing stuff
JosteinGj Jul 2, 2020
9f1d757
Merge branch 'group-b-test' of github.com:equinor/webviz-subsurface
JosteinGj Jul 2, 2020
072a91a
fixed typo
JosteinGj Jul 2, 2020
2232723
table looking good pvalue plot broken
JosteinGj Jul 2, 2020
f7fb791
p-value plot working, kinda, table removed
JosteinGj Jul 2, 2020
858f1d3
Merge branch 'group-b-test' into koffer-funke-ikkje-dette
JosteinGj Jul 2, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
83 changes: 57 additions & 26 deletions webviz_subsurface/plugins/_test2_plug.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,7 @@ def __init__(
)
self.parameterdf = pd.read_csv(self.parameter_csv)
self.responsedf = pd.read_csv(self.response_csv)

# her lager vi parameter og response DataFrames
elif ensembles and response_file:
self.ens_paths = {
Expand Down Expand Up @@ -135,7 +136,9 @@ def parameters(self):
.dropna(how="all", axis="columns")
.columns
)
return parameters

parameters =[(param.replace(":","_") if ":" in param else param) for param in parameters]


@property
def ensembles(self):
Expand Down Expand Up @@ -240,10 +243,44 @@ def control_layout(self):
{"label": "on", "value": True},
{"label": "off", "value": False}
],
value=True

value=False
)
]
),
html.Div(
[
html.Label("Force out"),
dcc.Dropdown(
id=self.ids("force out"),
options=[
{"label": param,
"value": param} for param in self.parameters
],
clearable=True,
multi=True,
value=["FWL", "INTERPOLATE_WO"],

)
]
),
html.Div(
[
html.Label("number of variables"),
dcc.Input(
id=self.ids("nvars"),
type="number",
debounce=True,
placeholder="Max variables",
min=1,
max=len(self.parameterdf),
step=1,
value=9,

)
]
)

]

@property
Expand Down Expand Up @@ -315,7 +352,11 @@ def model_input_callbacks(self):
# Input(self.ids("initial-parameter"), "data"),
Input(self.ids("ensemble"), "value"),
Input(self.ids("responses"),"value"),
Input(self.ids("interaction"), "value")

Input(self.ids("interaction"), "value"),
Input(self.ids("force out"), "value"),
Input(self.ids("nvars"), "value")

]
if self.response_filters:
for col_name in self.response_filters:
Expand All @@ -330,7 +371,9 @@ def set_callbacks(self, app):
],
self.model_input_callbacks,
)
def update_pvalue_plot(ensemble, response, interaction, *filters):

def update_pvalue_plot(ensemble, response, interaction, force_out, nvars, *filters):

filteroptions = self.make_response_filters(filters)
responsedf = filter_and_sum_responses(
self.responsedf,
Expand All @@ -339,28 +382,15 @@ def update_pvalue_plot(ensemble, response, interaction, *filters):
filteroptions=filteroptions,
aggregation=self.aggregation,
)
parameter_filters=[
'RMSGLOBPARAMS:FWL',
'MULTFLT:MULTFLT_F1',
'MULTFLT:MULTFLT_F2',
'MULTFLT:MULTFLT_F3',
'MULTFLT:MULTFLT_F4',
'MULTFLT:MULTFLT_F5',
'MULTZ:MULTZ_MIDREEK',
'INTERPOLATE_RELPERM:INTERPOLATE_GO',
'INTERPOLATE_RELPERM:INTERPOLATE_WO',
'LOG10_MULTFLT:MULTFLT_F1',
'LOG10_MULTFLT:MULTFLT_F2',
'LOG10_MULTFLT:MULTFLT_F3',
'LOG10_MULTFLT:MULTFLT_F4',
'LOG10_MULTFLT:MULTFLT_F5',
'LOG10_MULTZ:MULTZ_MIDREEK',
"RMSGLOBPARAMS:COHIBA_MODEL_MODE",
"COHIBA_MODEL_MODE"]
parameterdf = self.parameterdf.loc[self.parameterdf["ENSEMBLE"] == ensemble]
param_df = parameterdf.drop(columns=parameter_filters)
df = pd.merge(responsedf, param_df, on=["REAL"]).drop(columns=["REAL", "ENSEMBLE"])
model = gen_model(df, response, 9, interaction)
paramdf = self.parameterdf

paramdf.columns = [colname.replace(":","_") if ":" in colname else colname for colname in paramdf.columns]
paramdf = paramdf.loc[paramdf["ENSEMBLE"] == ensemble]
paramdf.drop(columns=force_out, inplace=True)

df = pd.merge(responsedf, paramdf, on=["REAL"]).drop(columns=["REAL", "ENSEMBLE"])
model = gen_model(df, response, nvars, interaction)

return make_p_values_plot(model)


Expand Down Expand Up @@ -504,6 +534,7 @@ def gen_interaction_df(
inter_only))
return interaction_df.join(df[response])


def forward_selected_interaction(data, response, maxvars=9):
"""Linear model designed by forward selection.

Expand Down