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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) |