学plotly需要多久

学习周期通常为4-6个月。

plotlyPython包基于构建的开源库plotly.js(buildond3.js).我们使用的装饰器称为cufflinksPandas，可以使用pandas数据框。因此，我们的整个技术栈顺序都是cufflinks>plotly>plotly.js>d3.js，这意味着我们即通过d3获得令人难以置信的交互式图形功能，同时拥有了Python编码的效率。

线上运行以及绘图效果，欢迎移步 和鲸社区

#terminal里

pip install plotly

http://www.plot.ly/python/getting-started

import plotly.offline as py

import plotly.graph_objs as go

trace = {'x':[1,2], 'y':[1,2]}

data = [trace]

layout = {}

fig = go.Figure(

    data = data, layout = layout)

py.offline.plot(fig)

trace1 = go.Scatter(

    x = [1,2], y = [1,2])

trace2 = go.Scatter(

    x = [1,2], y = [2,2])

py.iplot([trace1,trace2])

trace1 = go.Scatter(

    x = [1,2,3], y = [1,2,3],

    text = ['A','B','C'],

    textposition = 'top center',

    mode = 'markers+text')

data = [trace]

py.iplot(data)

trace = go.Bar(

    x = [1,2],

    y = [1,2],)

data = [trace]

py.iplot(data)

trace = go.Scatter(

    x = [1,2,3],

    y = [1,2,3],

    marker = dict(

        color = ['red','blue','green'],

        size = [30,80,200]),

    mode = 'markers'

)

py.iplot([trace])

trace = go.Heatmap(

    z = [[1,2,3,4],

    [5,6,7,8]])

data = [trace]

py.iplot(data)

trace = go.Scatter(

    x = [1,2,6],

    y = [1,2,0.5],

    fill = "tonexty")

data = [trace]

py.iplot(data)

trace1 = go.Scatter(

    name = "Calvin",

    x = [1,2],

    y = [2,1])

trace2 = go.Scatter(

    name = "Hobbes",

    x = [2,1],

    y = [2,1])

layout = go.Layout(

    showlegend = True,

    # 设置图例相对于左下角的位置

    legend = dict(

        x = 0.2,

        y = 0.5))

data = [trace1, trace2]

fig = go.Figure(data = data, layout = layout)

py.iplot(fig)

trace = go.Scatter(

    x = [-1,1,2,3,4],

    y = [-1,1,2,3,6])

axis_template = dict(

    showgrid = True,  #网格

    zeroline = True,  #是否显示基线,即沿着(0,0)画出x轴和y轴

    nticks = 20,

    showline = True,

    title = 'X axis',

    mirror = 'all')

layout = go.Layout(

    xaxis = axis_template,

    yaxis = axis_template)

data = [trace]

fig = go.Figure(

    data = data,

    layout = layout)

py.iplot(fig)

trace = go.Histogram(

    x = [1,2,3,3,3,4,5])

data = [trace]

py.iplot(data)

trace=go.Box(

    x=[1,2,3,3,3,4,5])

data=[trace]

py.iplot(data)

trace=go.Histogram2d(

    x=[1,2,3,3,3,4,5],

    y=[1,2,3,3,3,4,5])

data=[trace]

py.iplot(data)

trace = dict(

    type = 'scattergeo',

    lon = [100,400],lat = [0,0],

    marker = dict(

        color = ['red','blue'],

        size = [30,50]),

    mode = 'markers')

py.iplot([trace])

import plotly.colors

trace = dict(

    type = 'choropleth',

    locations = ['AZ','CA','VT'],

    locationmode = 'USA-states',

    colorscale = 'Viridis',

    z = [10,20,40])

layout = dict(geo = dict(scope = 'usa'))

map = go.Figure(data = [trace], layout = layout)

py.iplot(map)

trace=go.Surface(

    colorscale='Viridis',

    z=[[3,5,8,13],

    [21,13,8,5]])

data = [trace]

py.iplot(data)

trace = go.Scatter3d(

    x = [9,8,5,1],

    y = [1,2,4,8],

    z = [11,8,15,3],

    mode = 'lines')

data = [trace]

py.iplot(data)

trace = go.Scatter3d(

    x = [9,8,5,1],

    y = [1,2,4,8],

    z = [11,8,15,3],

    mode = 'markers')

data = [trace]

py.iplot(data)

Figure {}

data []

  trace {}

  x,y,z []

  color,text,size []

  colorscale ABC or []

  marker {}

    color ABC

    symbol ABC

    line {}

    color ABC

    width 123

layout {}

title ABC

xaxis,yaxis {}

scene {}

  xaxis,yaxis,zaxis {}

geo {}

legend {}

annotations {}

{} 字典

[] 列表

ABC 字符

123 数字

plotly使用指南

plot.ly

Plot.ly是一个用于做分析和可视化的在线工具,Plotly与pandas可以无缝地集成，可以做出很多非常丰富，互动的图表，并且文档非常健全，创建条形图相对简单，另外申请了API密钥后，可以一键将统计图形同步到云端。

下面是一个用Ploty画直方图的例子，我参考的是这篇文章http://www.dcharm.com/?p=599

代码如下

import plotly.plotly as py

import pandas as pd

from plotly.graph_objs import *

from plotly.offline import plot

 

budget=pd.read_csv("mn-budget-detail-2014.csv")

budget = budget.sort('amount',ascending=False)[:10]

data = Data([

    Bar(

        x=budget["detail"],

        y=budget["amount"]

    )

])

layout = Layout(

    title='2014 MN Capital Budget',

    font=Font(

        family='Raleway, sans-serif'

    ),

    showlegend=False,

    xaxis=XAxis(

        tickangle=-45

    ),

    bargap=0.05

)

fig = Figure(data=data, layout=layout)

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