Question

我需要使用带小部件的plotly（而非matplotlib）笔记本-Jupiter仪表板。数据来自表格

每个仪表板都有相同的x轴（标题为“ month”） y轴包括用于相关的两列（在接下来的四个可选列中）接下来的其他列是过滤器

我在Jupiter中制作了我想要的各种仪表板和小部件，以便您可以看到我想做的事情

我需要用户通过Jupiter中的小部件进行的每个选择都将从表中获取正确的数据，并提供给所选仪表板和过滤器

我没有成功将所选过滤器（出现在代码末尾）连接到我的一个仪表板。我该怎么做？

我正在使用anaconda python 3.7 文件和我的Jupyter笔记本

例如，我添加了条形仪表板，小部件和要获取数据的表的代码（仪表板中显示的数据不是正确的数据，如果您想了解我想显示的内容，您现在通过jupyter运行它）表格：

month,   10,          20,        30,      season,   kind
1   0.00588687  0.043767597 0.550294343 1   Red
1   0.016125698 0.092619392 0.443456688 1   Red
2   0.014282714 0.04620878  0.624658685 1   Red
3   0.02751474  0.079149544 0.480257281 1   Red
5   0.019949335 0.050348322 0.583597213 1   Red
4   0.018382353 0.058088235 0.445588235 1   Yellow
3   0.044879899 0.123893805 0.269068689 2   Yellow
2   0.006295247 0.029902424 0.544224111 2   Yellow
4   0.004061641 0.027595269 0.668617847 2   Red
5   0.007654623 0.046233925 0.484690753 2   Red
1   0.001231022 0.012310217 0.645876077 2   Yellow
2   0.007413344 0.037767982 0.44760569  2   Orange


`#imports
import numpy as np
from IPython.core.display import HTML
css_file = 'style.css'
HTML(open(css_file, 'r').read())
import plotly
import pandas as pd
import plotly.plotly as py

# Off-line mode
from plotly.offline import iplot, init_notebook_mode
init_notebook_mode()

# Importing high-level chart objects
import plotly.graph_objs as go

# Importing the figure factory
import plotly.figure_factory as ff

#Bar- Dashboards for 2 columns
trace0 = go.Bar(x = ["January", "February", "March"],
          y = [10, 11, 14],
          name = "Weight range x")

trace1 = go.Bar(x = ["January", "February", "March"],
          y = [12, 13, 17],
          name = "Weight range y")

 data = [trace0, trace1]

layout = {"title":"First quarter sales for two previous years",
     "xaxis":{"title":"Months"},
     "yaxis":{"title":"Units"},
    "barmode":"group"}

iplot({"data":data, "layout":layout})

#all the gui widgets
# I want background around all the widgets with title "Pepper Growers"
from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets

def f(month):
return month

def g(season1):
return season1

def h(season2):
return season2

interact(f, month=[('Bar', 10), ('Histogram', 20),('Boxplot', 30), 
   ('Lines', 40),('Scatter', 50), ('Normal', 60)]);
interact(g, season1=[('100<', 10), ('100-155', 20),('155-210', 30),('>210', 
40)]);
 interact(h, season2=[('100<', 10), ('100-155', 20),('155-210', 30),('>210', 
40)]);

  widgets.SelectMultiple(
  options=['Green Lotan', 'Erez Gvori', 'Green zofar','Nisim Saban 38', 
 'Amikam Saban 102','shabi', 'frequent','Nissim saban'],
value=['Green Lotan'],
description='Growers',
disabled=False
 )

widgets.SelectMultiple(
    options=['Red', 'Yellow', 'Orange','Green'],
value=['Red'],
description='Colour',
disabled=False
)

 widgets.DatePicker(
 description='Pick a Date',
 disabled=False
  )

   widgets.Button(
    description='Show Dashboard',
     disabled=False,
    button_style='', # 'success', 'info', 'warning', 'danger' or ''
    tooltip='Click me',
    #     icon='check'
    )`

使用小部件/ gui和plotly制作Jupyter仪表板

0 个答案: