def update_figure(picks, curve, active_well):
"""redraw the plot when the data in tops-storage is updated"""
w = p.get_well(active_well) ##selects the correct welly.Well object
picks_df = pd.read_json(picks)
picks_selected = picks_df[picks_df['UWI'] == active_well.replace(' ', '-')]
# regenerate figure with the new horizontal line
fig = helper.make_log_plot(w=w, ymin=ymin)
fig.update_layout(uirevision=active_well)
helper.update_picks_on_plot(fig, picks_selected)
return fig
def update_figure(surface_picks, curve, active_well):
"""redraw the plot when the data in tops-storage is updated"""
surface_picks = pd.read_json(surface_picks)
surface_picks = surface_picks[surface_picks['UWI'] == active_well]
w = p.get_well(active_well) ##selects the correct welly.Well object
df = w.df() ##reloads the correct dataframe for the display
# regenerate figure with the new horizontal line
fig = helper.make_log_plot(df)
helper.update_picks_on_plot(fig, surface_picks)
return fig
def update_figure(picks, curve, active_well):
"""redraw the plot when the data in tops-storage is updated"""
w = p.get_well(active_well) ##selects the correct welly.Well object
picks_df = pd.read_json(picks)
for i, row in picks_df.iterrows():
print(row.UWI, row.PICK, row.MD)
print('***Active Well', active_well)
picks_selected = picks_df[picks_df['UWI'] == active_well.replace(' ', '-')]
print('***\n***\n***', picks_selected)
# regenerate figure with the new horizontal line
fig = helper.make_log_plot(df)
helper.update_picks_on_plot(fig, picks_selected)
return fig
well_uwi = [w.uwi for w in p]
well_uwi = st.sidebar.selectbox("Well Names", well_uwi)
df = p[0].df() ##gets data from the first well in the Welly Project
curve_list = df.columns.tolist(
) ##gets the column names for later use in the curve-selector tool
curve_dropdown_options = [{
'label': k,
'value': k
} for k in sorted(curve_list)] ##list of well log curves to the dropdown
curve = st.sidebar.selectbox(
"Well Names", [item['value'] for item in curve_dropdown_options])
# draw the initial plot
fig_well_1 = helper.make_log_plot(df)
surface_picks_df = get_tops_df(p)
tops_storage = surface_picks_df.to_json()
wells_tops = pd.read_json(tops_storage)
well_tops = wells_tops[wells_tops.UWI == well_uwi]
csv_txt = df_to_csvtxt(well_tops)
p.get_well(well_uwi).data['tops'] = Striplog.from_csv(text=csv_txt)
fig = section_plot(p)
col1, col2 = st.beta_columns((1, 2))
fig_well_1 = update_figure(tops_storage, curve, well_uwi)
"""we need to have a stratigraphic column at some point"""
tops_dropdown_options = [{
'label': k,
'value': k
} for k in list(surface_picks_df['PICK'].unique())
] ##list of tops to the dropdown
##well log curve dropdown options
curve_dropdown_options = [{
'label': k,
'value': k
} for k in sorted(curve_list)] ##list of well log curves to the dropdown
# draw the initial plot
#plotting only GR and RD in a subplot
ymin, ymax = 3000, 5500 # make dynamic later
fig_well_1 = helper.make_log_plot(w=well, ymin=ymin)
app.title = "SwellCorr"
controls = dbc.Card(children=[
dbc.FormGroup([
dbc.Label("Select Well"),
dcc.Dropdown(
id='well-selector',
options=well_dropdown_options,
value=p[0].uwi,
),
]),
dbc.FormGroup([
dbc.Label("Select a Pick to Edit"),
dcc.Dropdown(id='top-selector',
