import plotly.graph_objs as go
import plotly
import numpy as np

# 画线
trace1 = go.Scatter(
    x=np.arange(15),
    y=[np.sin(i) if i % 5 else None for i in np.arange(15)],
    name='Gaps',
)

# 画线，要求对于缺失值，断开
trace2 = go.Scatter(
    x=np.arange(15),
    y=[np.cos(i) if i % 5 else None for i in np.arange(15)],
    name='<b>No</b> Gaps',  # 可以使用html风格
    connectgaps=True  # 对于缺失值，是否跳过去，默认为False
)

# 画散点图，并配置每个点上的 text
trace3 = go.Scatter(
    x=np.arange(15),
    y=np.sin(0.666 * np.arange(15)),
    text=[str(i) + '_text' for i in np.arange(15)],  # 可以显示每个点对应的文字
    textposition='top center',
    mode='markers+text',  # markers 代表散点，text代表显示text
    name='scatter'
)

# 画散点图，并配置每个点的大小、颜色
trace4 = go.Scatter(
    x=np.arange(15),
    y=np.cos(0.666 * np.arange(15)),
    text=[str(i) + '_text' for i in np.arange(15)],  # 可以显示每个点对应的文字
    textposition='top center',
    marker={'color': ['red', 'blue', 'green'] * 5, 'size': [20, 50, 100] * 5},
    mode='markers',
    name='scatter2'
)

# layout:配置图表（也可以省略）
layout = go.Layout(title="all plots", xaxis={'title': 'x'}, yaxis={'title': 'value'})

# fig = go.Figure(data=[trace1, trace2, trace3], layout=layout)
fig = go.Figure(data=[trace1, trace2, trace3, trace4])
plotly.offline.plot(fig, filename='example.html')

import plotly.graph_objs as go
import plotly

# 原始数据
dataset = {'x': ['Windows', 'Linux', 'Unix', 'MacOS'],
           'y1': [45, 26, 37, 13],
           'y2': [19, 27, 33, 21]}

# 拆成画图所需数据格式
data1 = go.Bar(
    x=dataset['x'],
    y=dataset['y1'],
    name='v1'
)
data2 = go.Bar(
    x=dataset['x'],
    y=dataset['y2'],
    name='v2'
)

layout = go.Layout(title="bar charts", xaxis={'title': 'x'}, yaxis={'title': 'value'})
fig = go.Figure(data=[data1, data2], layout=layout)
plotly.offline.plot(fig, filename='example.html')

import plotly.graph_objs as go
import plotly

dataset = {'labels': ['Windows', 'Linux', 'Unix', 'MacOS', 'Android', 'iOS'],
           'values': [280, 25, 10, 100, 250, 270]}

data1 = go.Pie(
    labels=dataset['labels'],
    values=dataset['values']
)

layout = go.Layout(title="pie charts")
fig = go.Figure(data=[data1], layout=layout)
plotly.offline.plot(fig, filename='example.html')

trace=go.Heatmap(
    z=[
        [1,2,3,4],
        [5,6,7,8]
    ]
)
plotly.offline.plot([trace])

trace=go.Scatter(
    x=[1,2,6],
    y=[1,2,0.5],
    fill="tonexty",
    fillcolor="#FF0"
)
plotly.offline.plot([trace])

import scipy.stats as stats

trace=go.Histogram(
    x=stats.norm().rvs(100),
    marker=dict(
        color=["red","blue","green"]*30
    )
)
plotly.offline.plot([trace])

trace=go.Histogram2d(
    x=[1,2,3,3,3,4,5],
    y=[1,2,3,3,3,4,5]
)
py.iplot([trace])

trace=go.Scattergeo(
   lon=[100, 400],
    lat=[0,0],
    marker=dict(
        color=['red', 'blue'],
        size=[30,50]
    ),
    mode="markers"
)
plotly.offline.plot([trace])

trace=go.Choropleth(
    locations=['AZ','CA','VT'],
    locationmode='USA-states',
    colorscale='Picnic',
    z=[10,20,40]
)
layout=dict(geo=dict(scope='usa'))
fig=go.Figure(data=[trace], layout=layout)
py.iplot(fig)

trace=go.Surface(
    colorscale='Viridis',
    z=[
        [3,5,8,13],
        [21,13,8,5]
    ]
)
py.iplot([trace])

trace=go.Scatter3d(
    x=[9,8,5,1],
    y=[1,2,4,8],
    z=[11,8,15,3],
    mode="lines"
)
py.iplot([trace])

trace=go.Box(
    x=[1,2,3,3,3,4,5]
)
py.iplot([trace])

import plotly.graph_objs as go
import plotly

trace = go.Scatter(
    x=[-1, 2, 3, 4],
    y=[-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=50,  # 显示多少个网格
    showline=True,  # 显示图表的外窗格线
    title='X axis',
    mirror='all',
    zerolinecolor="#FF0000"
)
layout = go.Layout(xaxis=axis_template, yaxis=axis_template)

fig = go.Figure(data=[trace], layout=layout)
plotly.offline.plot(fig)