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figure.py
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figure.py
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# ==============================================================
# Author: Rodolfo Ferro
# Twitter: @rodo_ferro
#
# ABOUT COPYING OR USING PARTIAL INFORMATION:
# This script has been originally created by Rodolfo Ferro.
# Any explicit usage of this script or its contents is granted
# according to the license provided and its conditions.
# ==============================================================
# -*- coding: utf-8 -*-
import plotly as py
import plotly.graph_objs as go
def plotly_figure_1(data):
"""Creates a nice figure."""
t1_box = go.Box(
name='Largo del sépalo (cm)',
y=data['sepal length (cm)'],
marker=dict(color='rgba(160,160,50,0.7)')
)
t2_box = go.Box(
name='Ancho del sépalo (cm)',
y=data['sepal width (cm)'],
marker=dict(color='rgba(50,160,150,0.7)')
)
t3_box = go.Box(
name='Largo del pétalo (cm)',
y=data['petal length (cm)'],
marker=dict(color='rgba(160,60,150,0.7)')
)
t4_box = go.Box(
name='Ancho del pétalo (cm)',
y=data['petal width (cm)'],
marker=dict(color='rgba(150,160,150,0.7)')
)
fig_box = [t1_box, t2_box, t3_box, t4_box]
return fig_box
def plotly_figure_2(data):
# Iris-setosa
trace_setosa = go.Scatter3d(
x = data['sepal length (cm)'][:50],
y = data['sepal width (cm)'][:50],
z = data['petal length (cm)'][:50],
mode = 'markers',
opacity = 0.7,
name = "Iris-setosa",
marker = dict(
size = 5,
color = 'rgba(255,102, 255,0.8)'
)
)
# Iris-versicolor
trace_versicolor = go.Scatter3d(
x = data['sepal length (cm)'][50:100],
y = data['sepal width (cm)'][50:100],
z = data['petal length (cm)'][50:100],
mode = 'markers',
opacity = 0.7,
name = "Iris-versicolor",
marker = dict(
size = 5,
color = 'rgba(102, 255, 51, 0.8)'
)
)
# Iris-virginica
trace_virginica = go.Scatter3d(
x = data['sepal length (cm)'][100:],
y = data['sepal width (cm)'][100:],
z = data['petal length (cm)'][100:],
mode = 'markers',
opacity = 0.7,
name = "Iris-virginica",
marker = dict(
size = 5,
color = 'rgba(51, 102, 255, 0.8)'
)
)
list_3d = [trace_setosa, trace_versicolor, trace_virginica]
fig_3d = go.Figure(data=list_3d)
return fig_3d