plotly.Graph_object

Published onesixx on

trace=[]
trace.append(
	go.Scatter(
		x= df['x'],
		y= df['y']
		mode='markers'
	)
)
layout = go.Layout()
fig = go.Figure(
	data=trace, layout=layout)
fig.show()
fig = go.Figure()
fig.add_trace(
	go.Scatter(
		x= df['x'],
		y= df['y']
		mode='markers'
	)
)
fig.update_layout()



fig.show()

https://onesixx.com/plotly/

https://plotly.com/python-api-reference/plotly.graph_objects.html

low-level interface to figures, traces and layout

import plotly.graph_objects as go

Figure(data=None, layout=None, frames=None, skip_invalid=False, **kwargs)

Bar Chart

https://plotly.com/python/bar-charts/

Layout : https://plotly.com/python/reference/layout/

https://www.statworx.com/en/content-hub/blog/plotly-an-interactive-charting-library/

go vs. px

plotly.graph_objects (as go) vs. plotly.express (as px)

#!/usr/bin/env python
# coding: utf-8
import plotly.express as px
iris = px.data.iris()
df = iris.copy()

# plotly.express
fig = px.scatter(df, 
    x="sepal_width", y="sepal_length", 
    color="species", size='petal_length', 
    hover_data=['petal_width']
)
fig.show()

# plotly.graph_objects
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(
    go.Scatter(
        x=df[df.species=='setosa']['sepal_width'],
        y=df[df.species=='setosa']['sepal_length'],
        mode='markers', #name='setosa',
        marker=dict(
            color='#6973FB',
            size=df[df.species=='setosa']['petal_length']*10
        )
    )
)
fig.add_trace(
    go.Scatter(
        x=df[df.species=='versicolor']['sepal_width'],
        y=df[df.species=='versicolor']['sepal_length'],
        mode='markers', #name='versicolor',
        marker=dict(
            color='#F1644D',
            size=df[df.species=='versicolor']['petal_length']*5
        )
    )
)
fig.add_trace(
    go.Scatter(
        x=df[df['species']=='virginica']['sepal_width'],
        y=df[df['species']=='virginica']['sepal_length'],
        mode='markers', #name='virginica',
        marker=dict(
            color='#29C99F',
            size=df[df['species']=='virginica']['petal_length']*4.6
        )
    )
)
fig.update_layout(
    xaxis = dict(title='sepal_width'),
    yaxis = dict(title='sepal_length'),
    legend_title_text='species',
    title = 'plotly.graph_objects'
)
fig.show()

Figure 의 구조

import plotly.graph_objects as go
fig = go.Figure()

plotly의 graph_object인 go의 Figure에는 2가지 속성 즉, Data와 Layout 이 있다.

https://github.com/santosjorge/cufflinks

Data 객체 입력방식

import pandas as pd 
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
# pd.set_option('display.max_row', 500)
# pd.set_option('display.max_columns', 100)
# pd.options.plotting.backend = "plotly"

import chart_studio.plotly as py
import cufflinks as cf

df = pd.read_csv('../data/kc_house_data.csv')

px.scatter(df, 
    x="date", y="price", 
    hover_data=['id']
).show()

#-------------------------

trace1 = go.Scattergl(
    x= df.sqft_living15,
    y= df.price,
    mode='markers',
    marker = dict(
        opacity=0.5
    )
)
layout = go.Layout(
    title = 'Price vs. Living Room Area',
    xaxis = dict(title='Living room area (sq. ft.)'),
    yaxis = dict(title='Price ($)'),
    hovermode = 'closest'
)
fig = go.Figure(data=[trace1], layout=layout)
fig.show()

Dash

Categories: visualization

onesixx

Blog Owner

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