def html_table_update(*sdv): sdv[0].insert(0, "Murder") formula_ ,_,_ = formula_builder(sdv) lmod = smf.ols(formula = formula_, data = df) results = lmod.fit() coef_df = signif(results.summary().tables).reset_index(drop = False) return df_to_table(coef_df)
def residsonly(*sdv):
sdv[0].insert(0, "Murder")
_,_, formula_ = formula_builder(sdv)
lmod = smf.ols(formula = formula_, data = df)
results = lmod.fit()
resids = results.resid
np.random.seed(45)
norm = np.random.normal(np.mean(resids), np.std(resids), 3*len(resids))
x_axis = np.arange(0,len(resids))
residsonly = go.Scatter({ "y": resids,
"x": x_axis,
"mode": "markers",
"marker": {"color": "#ff0000"},
"hoverinfo": "skip"})
norms = go.Scatter({ "y": norm,
"x": x_axis,
"mode": "markers",
"marker": {"color": "#C8C8C8"},
"hoverinfo": "skip"})
plot_layout = {'title': "Residuals",
'xaxis': {"title": "observations"},
'yaxis': {"title": "residuals"},
'height': '500',
'width' : '500'
}
return {"data": [residsonly, norms], "layout": plot_layout}
def residvsfttd(*sdv):
sdv[0].insert(0, "Murder")
_,_, formula_ = formula_builder(sdv)
lmod = smf.ols(formula = formula_, data = df)
results = lmod.fit()
resids = results.resid
ftd = results.fittedvalues
residvsfttd = go.Scatter({ "y": resids,
"x": ftd,
"mode": "markers",
"hoverinfo": "skip"})
plot_layout = {'title': "Residuals vs fitted-values",
'xaxis': {"title": "fitted-values"},
'yaxis': {"title": "residuals"},
'height': '500',
'width' : '500'
}
return {"data": [residvsfttd], "layout": plot_layout}
def update_formula(*sdv):
sdv[0].insert(0, "Murder")
frmla, _,_ = formula_builder(sdv)
return "Statsmodels formula: {}".format(frmla)
#@app.callback(
# Output("bare_formula","children"),
# [Input("select_inputs", "value"),
# Input("murder_radio", "value"),
# Input("population_radio","value"),
# Input("income_radio", "value"),
# Input("illiteracy_radio","value"),
# Input("life_exp_radio", "value"),
# Input("hs_grad_radio", "value"),
# Input("frost_radio", "value"),
# Input("area_radio", "value")]
# )
#def update_formula(*sdv):
# sdv[0].insert(0, "Murder")
# _,_,frmla = formula_builder(sdv)
return "Bare formula: {}".format(frmla)
def update_formula(*sdv):
sdv[0].insert(0, "Murder")
_, disp, _ = formula_builder(sdv)
return "Regression formula: {}".format(disp)