import plotly.plotly as py
import plotly.graph_objs as go
from process import reader
py.sign_in("IMFluky", "80ck3k2e4n")
for x in range(len(reader())):
data = [
go.Bar(
x=[i for i in range(1, 60)],
y=reader()[x][1]
)
]
layout = go.Layout(
title=reader()[x][0],
)
fig = go.Figure(data=data, layout=layout)
url = py.plot(fig, filename=reader()[x][0])
#using information from process.py import process as information #using module plotly import plotly.plotly as py import plotly.graph_objs as go #add data txt = "Day" axis_x = [txt+str(num+1) for num in range(60)] #add axis_x axis_y = [[information.reader()[num][1][i] for i in range(60)] for num in range(28)] #stack data y_stack = [1 for _ in range(28)] y_stack[0] = axis_y[0] for i in range(28): if i > 0: y_stack[i] = [y0+y1 for y0, y1 in zip(axis_y[i], y_stack[i-1])] #trace data trace = [None for _ in range(28)] for num in range(28): trace[num] = go.Scatter( x = axis_x, y = y_stack[num], hoverinfo = 'name+x', #show information when mouse is over name = information.reader()[num][0], mode ='lines', line = dict( width = 0.5
"""Create Heatmap"""
import process as pr
import plotly.plotly as py
import plotly.graph_objs as go
data2 = pr.reader()
data2 = data2[2:-7] + data2[-8:-2]
games = [data2[x][0] for x in range(len(data2))]
data2 = [run[1] for run in data2]
data3 = []
for run in range(len(data2[0])):
temp = []
for run2 in range(len(data2)):
temp.append(data2[run2][run])
data3.append(temp)
data = [
go.Surface(
z=data3,
x=games,
y=[str(x) for x in range(1, 61)]
)
]
layout = go.Layout(
title='Steam Thailand Playtime 2015 (Aug - Sep)',
autosize=False,
width=500,
height=500,
margin=dict(
l=65,
r=50,
b=65,
t=90
import plotly.plotly as pty
import process as pr
import statistics as stat
from plotly.tools import FigureFactory
pty.sign_in("Chiibi", "lm7ftxursd")
data = pr.reader()
data_matrix = [['Games', 'Average', 'Ceiling', 'Floor', 'SD']] + [[i[0], '{0:,.2f}'.format(stat.mean(i[1])), '{0:,d}'.format(max(i[1])), '{0:,d}'.format(min(i[1])), '{0:,.2f}'.format(stat.stdev(i[1]))] for i in data]
table = FigureFactory.create_table(data_matrix, index=True)
url = pty.plot(table, filename='data_table')
