class plots ( )

The method to generate the model class plots and maps

Methods

  • best_estimator_plots ( )

  • partial_dep_plots ( )

  • isotopes_meteoline_plot ( )

  • map_generator ( )

plots.best_estimator_plots ( )

plots.best_estimator_plots( cls, st1=True, st2=True )

The method to plot the model class best estimators

Parameters

st1 boolean default=True

Generate plots for stage one regression models of the model class

st2 boolean default=True

Generate plots for stage one regression models of the model class

plots.partial_dep_plots ( )

plots. partial_dep_plots(cls,st1=True,st2=True)

The method to plot the partial dependency of the features of the model class

Parameters

st1 boolean default=True

Generate plots for stage one regression models of the model class

st2 boolean default=True

Generate plots for stage two regression models of the model class

Method plots.isotopes_meteoline_plot ( )

plots.isotopes_meteoline_plot( ev_class, iso_class, var_list, iso_18=None, iso_2h=None, a=8, b=10, obs_data=False, residplot=False )

The method to plot the (meteorological) line between two features (isotopes) that are determined in var_list

Parameters

ev_class evaluation class

evaluation class that contains the second stage models predictions

iso_class model class

model class that contains the second stage models

iso_18 none type or Pandas Dataframe default=None

First feature (isotope) observed raw data. Ignored if obs_data=False

iso_2h none type or Pandas Dataframe default=None

Second feature (isotope) observed raw data. Ignored if obs_data=False

var_list list of strings

List of strings that identifies the names of two features in the evaluation and model class (in stage two)

a float default=8

Coefficient of the line

b float default=10

Intercept of the line

obs_data boolean default=False

False if iso_18 and iso_2h are not observed data. True if the predictions in evaluation class have an specified date, in "month" field.

  • EXAMPLE:

    pred_inputs=model_class.all_preds[["CooX","CooY","CooZ","month","ID"]].reset_index()
ev_class_obs=tools_copy.evaluation()
ev_class_obs.predict(model_class,pred_inputs,direc=direc)
tools_copy.plots.isotopes_meteoline_plot(ev_class_obs,model_class,var_list=['is1','is2'],obs_data=True)

residplot boolean default=False

Ignored if obs_data=False. It create residual plots in each month for each ID.

Method plots.map_generator ( )

plots.map_generator(ev_class,feat_list,observed_class_list=None,month_list=None,unit_list=None,opt_title_list=None,x="CooX",y="CooY",shp_file=None,html=True,direc=None,minus_to_zero_list=None,max_to_hundred_list=None)

The method to generate the maps (.png and HTML) of the evaluation class

Parameters

ev_class evaluation class

Evaluation class that contains the second stage models predictions

feat_list list

List of strings that identifies the desired features to map

observed_class_list none type or list default=None

List of the preprocess classes of the observed data. No observed data will be shown in the maps if observed_class_list=None, or an element of the list is none.

month_list none type or list default=None

List of the desired month to generate the maps. If None, the maps will be generated for all the months available in evaluation class

unit_list list of strings default=None

List of strings that identifies the units to be shown for every feature in the generated maps

opt_title_list list of strings default=None

List of strings that identifies the titles to be shown for every feature in the generated maps

x string default=”CooX”

Identifies the name of the x (longitude) field in the evaluation class (same as defined in preprocess classess)

y string default=”CooY”

Identifies the name of the y (latitude) field in the evaluation class (same as defined in preprocess classess)

shp_file none type or string default=None

Directory to the shape file to be used in .png maps. If None, no shape file will be included in the maps.If shapefile exists, it has to be in the same coordination system as the x & y.

html boolean default=True

If True, an HTML version of the maps will be created

direc none type or string default=None

The new directory to store the maps. If None, a new folder will be created in the directory that determined in the evaluation class

minus_to_zero_list none type or list default=None

If minus_to_zero_list is a list of booleans, when it is True, replace the minus values with zero for that feature. Usage in features such as relative humidity.

max_to_hundred_list none type or list default=None

If max_to_hundred_list is a list of booleans, when it is True, replace the values more that 100 with 100 for that feature. Usage in features such as relative humidity.