| import streamlit as st | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| st.title("Dashboard da turma") | |
| st.divider() | |
| if "df_estudantes" not in st.session_state: | |
| st.error("Volte para a tela principal faça login e carregue uma turma!") | |
| else: | |
| st.markdown('### Métricas da turma') | |
| df_estudantes = st.session_state["df_estudantes"] | |
| st.metric(label="Total de Alunos", value=len(df_estudantes)) | |
| #col1, col2, col3 = st.columns(3) | |
| #category_names = ['Discodo totalmente', 'Discordo', | |
| # 'indiferente', 'Concordo', 'Concordo totalmente'] | |
| # results = { | |
| # 'Extroversão': [1, 0, 0, 0, 1], | |
| # 'Amababilidade': [1, 0, 0, 0, 1], | |
| # 'Conscienciosidade': [1, 0, 0, 0, 1], | |
| # 'Estabilidade Emocional': [1, 0, 0, 0, 1], | |
| # 'Abertura a experiencias': [1, 0, 0, 0, 1], | |
| # } | |
| # def survey(results, category_names): | |
| # """ | |
| # Parameters | |
| # ---------- | |
| # results : dict | |
| # A mapping from question labels to a list of answers per category. | |
| # It is assumed all lists contain the same number of entries and that | |
| # it matches the length of *category_names*. | |
| # category_names : list of str | |
| # The category labels. | |
| # """ | |
| # labels = list(results.keys()) | |
| # data = np.array(list(results.values())) | |
| # data_cum = data.cumsum(axis=1) | |
| # category_colors = plt.get_cmap('RdYlGn')( | |
| # np.linspace(0.15, 0.85, data.shape[1])) | |
| # fig, ax = plt.subplots(figsize=(9.2, 5)) | |
| # ax.invert_yaxis() | |
| # ax.xaxis.set_visible(False) | |
| # ax.set_xlim(0, np.sum(data, axis=1).max()) | |
| # for i, (colname, color) in enumerate(zip(category_names, category_colors)): | |
| # widths = data[:, i] | |
| # starts = data_cum[:, i] - widths | |
| # ax.barh(labels, widths, left=starts, height=0.5, | |
| # label=colname, color=color) | |
| # xcenters = starts + widths / 2 | |
| # r, g, b, _ = color | |
| # text_color = 'white' if r * g * b < 0.5 else 'darkgrey' | |
| # for y, (x, c) in enumerate(zip(xcenters, widths)): | |
| # ax.text(x, y, str(int(c)), ha='center', va='center', | |
| # color=text_color) | |
| # ax.legend(ncol=len(category_names), bbox_to_anchor=(0, 1), | |
| # loc='lower left', fontsize='small') | |
| # return fig, ax | |
| # survey(results, category_names) | |
| # #plt.show() | |
| # st.pyplot(plt) |