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咯咯哒鸭 2019-01-24
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以下是画图部分，是用dataframe中的数据画图，在图表中X轴显示的kernel_Time不是原始数据的样式，怀疑是要在layout中添加一些设置，但是不知道是啥。。。。
def cpu_plotly():
df_percent, cpu_percent = cpuInfo()
df = cpu_percent
#print(df)
data = []
if len(df) > 0:
#colName = df.column('user')
trace_user = go.Scatter(
x=df['kernel_Time'],
y=df['user%'],
name='user',
mode='lines+markers'
)
data.append(trace_user)
trace_nice = go.Scatter(
x=df['kernel_Time'],
y=df['nice%'],
name='nice',
mode='lines+markers'
)
data.append(trace_nice)
trace_system = go.Scatter(
x=df['kernel_Time'],
y=df['system%'],
name='system',
mode='lines+markers'
)
data.append(trace_system)
trace_idle = go.Scatter(
x=df['kernel_Time'],
y=df['idle%'],
name='idle',
mode='lines+markers'
)
data.append(trace_idle)
trace_iowait = go.Scatter(
x=df['kernel_Time'],
y=df['iowait%'],
name='iowait',
mode='lines+markers'
)
data.append(trace_iowait)
trace_irq = go.Scatter(
x=df['kernel_Time'],
y=df['irq%'],
name='irq',
mode='lines+markers'
)
data.append(trace_irq)
trace_softirq = go.Scatter(
x=df['kernel_Time'],
y=df['softirq%'],
name='softirq',
mode='lines+markers'
)
data.append(trace_softirq)
if len(data) > 0:
layout = go.Layout(
xaxis=dict(title = 'kernel_Time (ms)'),
yaxis=dict(title = 'percent (%)')
)
fig = go.Figure(data= data, layout= layout)
py.plot(fig, filename= './SYS_BLOCKIO_Percent.html', auto_open=False)
cpu_plotly()
