Python基于plotly模块实现的画图操作示例_Python

Python基于plotly模块实现的画图操作示例

2021-05-21 00:11云金杞 Python

这篇文章主要介绍了Python基于plotly模块实现的画图操作,涉及Python基于plotly模块的数值运算与图形操作相关实现技巧,需要的朋友可以参考下

本文实例讲述了python基于plotly模块实现的画图操作。分享给大家供大家参考，具体如下：

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									import plotly

									plotly.tools.set_credentials_file(username='tianjixuetu', api_key='xxxxxxxx')#此处要去官网申请自己的api，#https://plot.ly/ssu/

				?

									#案例1

									import plotly.plotly as py

									from plotly.graph_objs import *

									trace0 = scatter(

									  x=[1, 2, 3, 4],

									  y=[10, 15, 13, 17]

									)

									trace1 = scatter(

									  x=[1, 2, 3, 4],

									  y=[16, 5, 11, 9]

									)

									data = data([trace0, trace1])

									py.plot(data, filename = 'basic-line')

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									#案例2

									import plotly.graph_objs as go

									import plotly.plotly as py

									import numpy as np

									colorscale = [[0, '#faee1c'], [0.33, '#f3558e'], [0.66, '#9c1de7'], [1, '#581b98']]

									trace1 = go.scatter(

									  y = np.random.randn(500),

									  mode='markers',

									  marker=dict(

									    size='16',

									    color = np.random.randn(500),

									    colorscale=colorscale,

									    showscale=true

									  )

									)

									data = [trace1]

									url_1 = py.plot(data, filename='scatter-for-dashboard', auto_open=false)

									py.iplot(data, filename='scatter-for-dashboard')

									url_1

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									#案例3

									import plotly.plotly as py

									import plotly.graph_objs as go

									import numpy as np

									x0 = np.random.randn(50)

									x1 = np.random.randn(50) + 2

									x2 = np.random.randn(50) + 4

									x3 = np.random.randn(50) + 6

									colors = ['#faee1c', '#f3558e', '#9c1de7', '#581b98']

									trace0 = go.box(x=x0, marker={'color': colors[0]})

									trace1 = go.box(x=x1, marker={'color': colors[1]})

									trace2 = go.box(x=x2, marker={'color': colors[2]})

									trace3 = go.box(x=x3, marker={'color': colors[3]})

									data = [trace0, trace1, trace2, trace3]

									url_2 = py.plot(data, filename='box-plots-for-dashboard', sharing='public', auto_open=true,world_readable=true)

									py.iplot(data, filename='box-plots-for-dashboard')

									url_2