plot.py

import numpy as np 
import matplotlib.pyplot as plt 
import pandas as pd 
#plt.style.use("style.mplstyle")
import plotly.graph_objects as go
import plotter 
import plotly


data = pd.DataFrame(pd.read_csv("Data/winningprob.csv"))
data.index = data["Jugador"]
data = data.drop(labels=["Jugador","COM","DIV","FC","SB","TOTAL"],axis=1)



fig = go.Figure()
for name in data.index.to_numpy():
	fig.add_trace(go.Scatter(x = data.T.index,y=data.T[name],name=name,line_shape="spline",
		line=dict(color=plotter.Color_Picker(name).pick(),width=3),marker=dict(size=9)))
fig.update_layout(title="Probabilidades de victoria en temporada regular",
	template="plotly_dark",yaxis_title="% de 10 mil simulaciones ganadas",hovermode="x unified")
fig.show()
print(plotly.offline.plot(fig,filename="winning_prob.html",include_plotlyjs=False,output_type="div"))