Python 使用破折号和Plotly的多个折线图
我正在尝试创建一个多折线图,其中X轴上的每个“机器”和“时间”都有一条线。然而,我尝试了很多组合来生成X和Y标签。我从预期结果中得到的最接近的结果是下面的图表 欢迎所有建议。 这是数据帧:Python 使用破折号和Plotly的多个折线图,python,plotly,plotly-dash,Python,Plotly,Plotly Dash,我正在尝试创建一个多折线图,其中X轴上的每个“机器”和“时间”都有一条线。然而,我尝试了很多组合来生成X和Y标签。我从预期结果中得到的最接近的结果是下面的图表 欢迎所有建议。 这是数据帧: df3: Machine Units Pruduced Time K2K02 1900 15 K2K03 311 15 K2K01 5230 17 K2K02 1096 12 K2K03 1082
df3:
Machine Units Pruduced Time
K2K02 1900 15
K2K03 311 15
K2K01 5230 17
K2K02 1096 12
K2K03 1082 11
K2K07 587 17...
因此,我正在分组和拆垛,以准备绘制图形
fdr = dff3.groupby(['Time', 'Machine']).sum()
fdr2 = fdr.unstack('Time')
fdr2
这是我的代码:
import dash_table_experiments
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objects as go
import numpy as np
import dash_table_experiments as dash_table
import dash
from dash.dependencies import Input, Output
import dash_table
import pandas as pd
import plotly_express as px
import plotly.offline as pyo
dff3 = pd.read_csv('df3.csv', encoding='latin-1', low_memory=False)
dff3
fdr = dff3.groupby(['Time', 'Machine']).sum()
fdr2 = fdr.unstack('Time')
fdr2
app = dash.Dash()
app.layout = html.Div([
dcc.Graph(
id = 'GrapGo',
figure = {
'data' : [
go.Scatter(
x = fdr2.index,
y = fdr2.loc[rowname],
mode = "markers+lines",
name = rowname
)for rowname in fdr2.index
],
'layout' : go.Layout(
title = "Grafico com go",
xaxis = {'title': 'X Label'},
yaxis = {'title': 'y Label'}
)
}
)
])
if __name__ == '__main__':
app.run_server()
这是我得到的图表:
预期结果是:
在你的问题中,我看不出有必要运行服务器。如果您只需要生成绘图,则此代码将完成Dash v1.6.0版的工作:
import plotly.graph_objects as go
import pandas as pd
df = pd.DataFrame({'Machine': ['K2K01','K2K01','K2K01','K2K02','K2K02','K2K02','K2K03','K2K03','K2K03'],
'Units': [100,200,400,400,300,100,500,700,500],
'Time':[11,12,13,11,12,13,11,12,13]})
groups = df.groupby(by='Machine')
data = []
colors=['red', 'blue', 'green']
for group, dataframe in groups:
dataframe = dataframe.sort_values(by=['Time'])
trace = go.Scatter(x=dataframe.Time.tolist(),
y=dataframe.Units.tolist(),
marker=dict(color=colors[len(data)]),
name=group)
data.append(trace)
layout = go.Layout(xaxis={'title': 'Time'},
yaxis={'title': 'Produced Units'},
margin={'l': 40, 'b': 40, 't': 50, 'r': 50},
hovermode='closest')
figure = go.Figure(data=data, layout=layout)
figure.show()
在你的问题中,我看不出有必要运行服务器。如果您只需要生成绘图,则此代码将完成Dash v1.6.0版的工作:
import plotly.graph_objects as go
import pandas as pd
df = pd.DataFrame({'Machine': ['K2K01','K2K01','K2K01','K2K02','K2K02','K2K02','K2K03','K2K03','K2K03'],
'Units': [100,200,400,400,300,100,500,700,500],
'Time':[11,12,13,11,12,13,11,12,13]})
groups = df.groupby(by='Machine')
data = []
colors=['red', 'blue', 'green']
for group, dataframe in groups:
dataframe = dataframe.sort_values(by=['Time'])
trace = go.Scatter(x=dataframe.Time.tolist(),
y=dataframe.Units.tolist(),
marker=dict(color=colors[len(data)]),
name=group)
data.append(trace)
layout = go.Layout(xaxis={'title': 'Time'},
yaxis={'title': 'Produced Units'},
margin={'l': 40, 'b': 40, 't': 50, 'r': 50},
hovermode='closest')
figure = go.Figure(data=data, layout=layout)
figure.show()
非常感谢你,托尼。服务器没有问题,我可以采用在服务器上运行,我的疑问是如何创建和附加更有效的跟踪。非常感谢你,我的朋友。祝你今天愉快。非常感谢你,托尼。服务器没有问题,我可以采用在服务器上运行,我的疑问是如何创建和附加更有效的跟踪。非常感谢你,我的朋友。祝您有个美好的一天。