数据可视化学习---plotly基本图形（二）之箱线图、饼图

3. 箱线图
4. 饼图

3.箱线图

import plotly.offline as of
import plotly.graph_objs as go

x0 = np.random.randn(50)
x1 = np.random.randn(50)

colors = ['#faee1c', '#f3558e']
trace0 = go.Box(
	x = x0,
	name = 'box1',
	marker = {'color': colors[0]}
)
trace1 = go.Box(
	x = x1,
	name = 'box2',
	boxpoints = 'all', # 显示出每一个点
	jitter = 0.3, # 点在y轴上的随机抖动距离
	pointpos = -1.8, # 点在y轴上的偏移距离
	marker = dict(
		color = colors[3],
		line = dict(
			color = 'red',
			widh = 1
		)
	)
)
data = [trace0, trace1]
layout = go.Layout(
	title = '箱线图测试'
)

fig = go.Figure(data=data, layout=layout)
of.init_notebook_mode()
of.iplot(fig)

4.饼图

import plotly.offline as of
import plotly.graph_objs as go

labels = ['产品1', '产品2','产品3', '产品4', '产品5']
values = [30, 25, 15, 22, 2]
colors = ['#FFFF00', '#FF0000', '#E066FF', '#0D0D0D']

trace = [
	go.Pie(
		labels = labels,  # 每一部分的标签列表
		values = values,  # 每一部分的值
		rotation = 30, 
		showlegend = False,
		pull = [0.1, 0, 0, 0, 0],
		textinfo = 'label+value',  # 'percent'
		hoverinfo = 'label+value+percent',
		textfont = dict(size=20, color='blue'),
		marker = dict(
			colors = colors,
			line = dict(
				color =['blue','black','red','yellow','green'],
				width = 2				
			)
		)
	)
]
'''
colors ----> 在marker里，设置每一块label的颜色

rotation ----> 饼图旋转的角度

opacity ----> 图表的透明度

showlegend ----> 是否显示图例

pull ----> 相当于matplotlib的explode,突出显示

textinfo ----> 每一块图中显示的内容，参数有value,percent,label

hoverinfo ----> 鼠标经过显示的信息
        label - 显示对应的label值
        value - 显示对应的value值
        percent - 显示对应的百分比

textfont ----> 每一块图中显示的字体的样式参数
'''
layout = go.Layout(
    title = '产品比例配比图',
)

fig = go.Figure(data=trace, layout=layout)
of.init_notebook_mode()
of.iplot(fig)

如果要画空心的饼图，需要用到hole参数
例子：

labels = ['完成', '未完成']
values = [0.8, 0.2]

trace = [
	go.Pie(
		labels = labels,
		values = values,
		hole = 0.7	# 空心的比例
	)
	layout = go.Layout(
    title = '产品完成进度图'
)

fig = go.Figure(data=trae, layout=layout)
of.init_notebook_mode()
of.iplot(fig)