plotly绘制简单图形<2>--条形图

之前说了散点图和折线图，本次主要说一下条形图：

1、简单条形图

import plotly.plotly as py
import plotly.graph_objs as go

data = [go.Bar(
            x=['A', 'B', 'C'],
            y=[20, 14, 23]
    )]

py.iplot(data, filename='basic-bar')

2、分组条形图

import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Bar(
    x=['A', 'B', 'C'],
    y=[20, 14, 23],
    name='SF Zoo'
)
trace2 = go.Bar(
    x=['A', 'B', 'C'],
    y=[12, 18, 29],
    name='LA Zoo'
)

data = [trace1, trace2]
layout = go.Layout(
    barmode='group'#分组
)

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='grouped-bar')

3、堆积条形图

import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Bar(
    x=['A', 'B', 'C'],
    y=[20, 14, 23],
    name='SF Zoo'
)
trace2 = go.Bar(
    x=['A', 'B', 'C'],
    y=[12, 18, 29],
    name='LA Zoo'
)

data = [trace1, trace2]
layout = go.Layout(
    barmode='stack'
)

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='stacked-bar')

4、悬停文本

import plotly.plotly as py
import plotly.graph_objs as go

trace0 = go.Bar(
    x=['A', 'B', 'C'],
    y=[20, 14, 23],
    text=['27% market share', '24% market share', '19% market share'],
    marker=dict(
        color='rgb(158,202,225)',
        line=dict(
            color='rgb(8,48,107)',
            width=2.5,#线宽
        )
    ),
    opacity=0.5#透明度
)

data = [trace0]
layout = go.Layout(
    title='January 2013 Sales Report',
)

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='text-hover-bar')

5、数据标签

import plotly.plotly as py
import plotly.graph_objs as go

x = ['A', 'B', 'C']
y = [20, 14, 23]

data = [go.Bar(
            x=x,
            y=y,
            text=y,
            textposition = 'auto',
            marker=dict(
                color='rgb(158,202,225)',
                line=dict(
                    color='rgb(8,48,107)',
                    width=1.5),
            ),
            opacity=0.6
        )]

py.iplot(data, filename='bar-direct-labels')

6、瀑布图

import plotly.plotly as py
import plotly.graph_objs as go

x_data = ['A', 'B', 'C','D']
y_data = [20, 30, 30,25]
text=['20','10','30','-5']

# Base
trace0 = go.Bar(
    x=x_data,
    y=[0, 20, 0, 25],
    marker=dict(
        color='rgba(1,1,1, 0.0)',
    )
)

# Revenue
trace1 = go.Bar(
    x=x_data,
    y=[20, 10, 30, 5],
    marker=dict(
        color='rgba(55, 128, 191, 0.7)',
        line=dict(
            color='rgba(55, 128, 191, 1.0)',
            width=2,
        )
    )
)

data = [trace0, trace1]
layout = go.Layout(
    title='Profit- 2018',
    barmode='stack',
    paper_bgcolor='rgba(245, 246, 249, 1)',
    plot_bgcolor='rgba(245, 246, 249, 1)',
    showlegend=False
)

annotations = []

for i in range(0, 4):
    annotations.append(dict(x=x_data[i], y=y_data[i], text=text[i],
                                  font=dict(family='Arial', size=24,
                                  color='rgba(55, 60, 100, 1)'),
                                  showarrow=False,))
    layout['annotations'] = annotations

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='waterfall-bar-profit')