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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from ipywidgets import interact_manual, interact
from ipywidgets import Button, HBox, IntText, HTML, VBox
from IPython.display import display, clear_output



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%load_ext autoreload
%autoreload 2

Chargement des données

On charge les propositions présidentielles.



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from funcs import load_data



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propositions, candidate_labels = load_data()

Quizz candidats



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from funcs import GUI



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%matplotlib inline



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gui = GUI(candidate_labels, propositions)
display(gui.box)

Recherche plein texte de propositions



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def make_df(candidate, candidate_label):
    "Returns a dataframe with candidate name."
    ind_s = pd.Series(index=candidate.index, data=[candidate_label], name='candidat')
    return pd.DataFrame(data=[ind_s, candidate]).transpose()



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all_propositions = pd.concat([make_df(c, label) for c, label in zip(candidates, candidate_labels)])



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ind = all_propositions['proposition'].str.lower().str.contains('vert')



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all_propositions[ind]



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mask = all_propositions[ind]



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mask.groupby(by='candidat').sum().iloc[0].values



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from ipywidgets import interact, IntSlider, SelectMultiple



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mask.size



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slider = IntSlider(min=0, max=mask.size - 1)
slider



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selector = SelectMultiple(
        options=mask['proposition'].values.tolist(),
        value=[],
        description='',
        disabled=False,
        )
selector.layout.width='500px'
selector.layout.height = "300px"



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@interact
def search_for_props(search='croissance'):
    ind = all_propositions['proposition'].str.lower().str.contains(search)
    mask = all_propositions[ind]
    selector.options = mask['proposition'].values.tolist()

display(selector)



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