values=[
ds2016.somaBancas(),
ds2016.somaVideoAulas(),
ds2016.somaSessoesClinicas(),
ds2016.somaSigs(),
ds2016.somaVCEbserh()
],
name="Atividades 2016"), 1, 2)
fig.add_trace(
go.Pie(labels=labels,
values=[
ds2017.somaBancas(),
ds2017.somaVideoAulas(),
ds2017.somaSessoesClinicas(),
ds2017.somaSigs(),
ds2017.somaVCEbserh()
],
name="Atividades 2017"), 2, 1)
fig.add_trace(
go.Pie(labels=labels,
values=[
ds2018.somaBancas(),
ds2018.somaVideoAulas(),
ds2018.somaSessoesClinicas(),
ds2018.somaSigs(),
ds2018.somaVCEbserh()
],
name="Atividades 2018"), 2, 2)
import numpy as np
import DashNuts2015.DashNuts2015 as ds2015
import DashNuts2016.DashNuts2016 as ds2016
import DashNuts2017.DashNuts2017 as ds2017
import DashNuts2018.DashNuts2018 as ds2018
dadosDoAno = ReceberArquivoCSV("atividade2015.csv")
fig = plt.figure(constrained_layout=True)
gs = GridSpec(2, 2, figure=fig)
valoresCategorias2015 = [ds2015.somaBancas(), ds2015.somaSigs(), ds2015.somaSessoesClinicas(), ds2015.somaVCEbserh(), ds2015.somaVideoAulas()]
valoresCategorias2016 = [ds2016.somaBancas(), ds2016.somaSigs(), ds2016.somaSessoesClinicas(), ds2016.somaVCEbserh(), ds2016.somaVideoAulas()]
valoresCategorias2017 = [ds2017.somaBancas(), ds2017.somaSigs(), ds2017.somaSessoesClinicas(), ds2017.somaVCEbserh(), ds2017.somaVideoAulas()]
valoresCategorias2018 = [ds2018.somaBancas(), ds2018.somaSigs(), ds2018.somaSessoesClinicas(), ds2018.somaVCEbserh(), ds2018.somaVideoAulas()]
categorias = ["Bancas", "SIG's", "Sessões Clínicas", "EBSERH", "Videoaulas"]
#
explode = (0.1,0,0,0,0.1)
ax1 = fig.add_subplot(gs[0, 0])
ax1.set_title("Atividades 2015: " + str(ds2015.somaMeses()))
ax1.pie(valoresCategorias2015, explode = explode,labels = categorias, autopct='%1.1f%%', shadow=True, startangle=90)
ax1.legend()
ax2 = fig.add_subplot(gs[1, 0])
ax2.set_title("Atividades 2016: " + str(ds2016.somaMeses()))
ax2.pie(valoresCategorias2016, explode = explode,labels = categorias, autopct='%1.1f%%', shadow=True, startangle=90)
ax2.legend()