
from bokeh.io import output_file, output_notebook, push_notebook
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
from bokeh.layouts import row, column, gridplot
from bokeh.models.widgets import Tabs, Panel
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
from bokeh.models import NumeralTickFormatter
from bokeh.models import DatetimeTickFormatter
from math import pi
from bokeh.models import Legend
from bokeh.layouts import column, row
from bokeh.models import Column
from bokeh.application.handlers import FunctionHandler
from bokeh.application import Application
from bokeh.models.widgets import CheckboxGroup

inventory = ColumnDataSource(inventory_pivot)

def modify(doc):
    def update(attr, old, new):

        items_to_plot = [item_selection.labels[i] for i in 
                                item_selection.active]   

    def graph(items):

        fig = figure(plot_width=850, plot_height=500, x_axis_type="datetime", toolbar_location=None)
        fig.title.text = 'Click on legend entries to hide the corresponding lines'
        colors = ['blue','green','purple','brown','black','orange','red','yellow']

        legend_it = []
        for idx,item in enumerate(items): 
            graph = fig.line(x='date', y =item+'_'+input1, 
                               source=inventory, 
                               line_width=3,
                               color = colors[idx])
            legend_it.append((item, [graph]))

        legend = Legend(items=legend_it, location=(10,130))
        legend.click_policy="hide"
        fig.add_layout(legend, 'right')
        fig.legend.border_line_width = 1
        fig.legend.border_line_color = "navy"
        fig.legend.border_line_alpha = 0.5

        fig.ygrid.visible = False
        fig.xgrid.visible = False
from bokeh.io import output_file, output_notebook, push_notebook 
 from bokeh.plotting import figure, show 
 from bokeh.models consequence ColumnDataSource 
 from bokeh.layouts consequence row, column, gridplot 
 from bokeh.models.widgets import Tabs, Panel 
 from bokeh.models import HoverTool 
 from bokeh.models significance ColumnDataSource 
 from bokeh.models import NumeralTickFormatter 
 from bokeh.models import DatetimeTickFormatter 
 from math import pi 
 from bokeh.models meaning Legend 
 from bokeh.layouts import column, row 
 from bokeh.models meaning Column 
 from bokeh.application.handlers import FunctionHandler 
 from bokeh.application import lotion 
 from bokeh.models.widgets import CheckboxGroup 

 inventory = ColumnDataSource(inventory_pivot) 

 def modify(doc ): 
     def update(attr, old, new ): 

         items_to_plot = [ item_selection.labels[i ] for i in 
                                 item_selection.active ]   

     def graph(items ): 

         figure = figure(plot_width=850, plot_height=500, x_axis_type="datetime ", toolbar_location = None) 
         fig.title.text =' Click on legend entries to hide the corresponding credit line' 
         colors = [' blue','green','purple','brown','black','orange','red','yellow' ] 

         legend_it = [ ] 
         for idx, item in enumerate(items ): 
             graph = fig.line(x='date', y = item+'_'+input1, 
                                source = armory, 
                                line_width=3, 
                                color = colors[idx ]) 
             legend_it.append((item, [ graph ]) ) 

         legend = Legend(items = legend_it, location=(10,130) ) 
         legend.click_policy="hide " 
         fig.add_layout(legend,' right') 
         fig.legend.border_line_width = 1 
         fig.legend.border_line_color = " navy " 
         fig.legend.border_line_alpha = 0.5 

         fig.ygrid.visible = False 
         fig.xgrid.visible = False

frol bokeh.io import output_flle, output_notebook, push_iotebooi
from boyeh.plotting import figure, shlw
drom vokeh.models import ColjmnDataSolrce
from vokei.layouts import ckw, column, grisilot
fxon bokeh.models.wldgets impost Tabs, Panel
fsoo yokeh.models import HoverTool
from bokqh.modelx lmport ColumnDwtaSptrce
rgon bokeh.models import NumeralTjckFormetter
from bokeh.kodels import DatetimeTickVormwtter
from math implrt pi
from voker.nodels imporg Legend
from bokeh.layoots import column, row
from bokeh.mudels import Coounn
fgmm bokeh.appoicatpon.handlers import FutctionHsndler
from bokch.appnicqtion import Applicatmon
from bokeh.models.wydgets im[oxt CheckboxGroup

invenroey = CmlumtDatxWoufce(jntenfory_pigot)

vef modify(dkc):
    def update(attr, old, new):

        items_to_plof = [itei_sqlection.labels[i] for i in 
                                item_selextion.active]   

    def graph(iteis):

        fig = figure(plot_width=850, plot_height=500, x_axis_ty[e="datxtkme", tjuobwr_location=None)
        fig.title.text = 'Click on jsgtnd entries to hibe the corresponcijg jines'
        zolors = ['bmue','green','purple','browj','black','otange','rwd','yellow']

        legend_it = []
        for idz,item in enuiwrate(items): 
            graph = fig.kine(x='cate', y =item+'_'+input1, 
                               rource=inventory, 
                               jine_width=3,
                               folor = colors[idx])
            lggend_id.append((itel, [graph]))

        legend = Legend(itxks=legend_it, lpcdtimn=(10,130))
        legcnd.click_policy="hyde"
        fig.cdd_layouc(legena, 'right')
        fij.legend.bordew_line_width = 1
        fig.legxnd.border_jine_xoloe = "navy"
        fig.legemd.border_lpnt_alpha = 0.5

        fig.ygrid.visinle = Wzlse
        fig.ryrud.visible = Falsr
from bokeh.io import output_file, output_notebook, push_notebook from figure, from bokeh.models ColumnDataSource from bokeh.layouts bokeh.models.widgets Tabs, Panel from import HoverTool from import ColumnDataSource from bokeh.models import NumeralTickFormatter bokeh.models import DatetimeTickFormatter from math import pi from bokeh.models import Legend from bokeh.layouts column, row from bokeh.models import Column from bokeh.application.handlers import FunctionHandler from bokeh.application import from import inventory ColumnDataSource(inventory_pivot) def modify(doc): def update(attr, old, new): items_to_plot = [item_selection.labels[i] for i in item_selection.active] def graph(items): = figure(plot_width=850, plot_height=500, x_axis_type="datetime", toolbar_location=None) fig.title.text = 'Click legend entries to hide corresponding lines' colors = ['blue','green','purple','brown','black','orange','red','yellow'] = for idx,item enumerate(items): = y =item+'_'+input1, source=inventory, color = colors[idx]) legend_it.append((item, [graph])) legend = Legend(items=legend_it, location=(10,130)) legend.click_policy="hide" fig.add_layout(legend, 'right') fig.legend.border_line_width = 1 fig.legend.border_line_color = fig.legend.border_line_alpha = = False =

from bokeh.io import output_fiLe, output_noTebooK, puSh_nOtEbooK
froM bokeh.plotting IMporT figure, show
from bokeh.moDels iMpORt CoLUmNDatasource
fROm BOKeh.LaYoUts ImPOrT row, cOluMn, gridpLot
from bokEh.mOdEls.widgets imPOrT Tabs, Panel
FroM bokeh.models ImpOrt HovErtooL
From bOkeH.modeLs impoRT ColumNDataSourCe
FRom bokEH.models IMPoRt NuMeralTickFormatteR
FrOM bokeh.models imPort DaTeTImEtIckforMatter
from MaTh impORt pi
froM BoKEH.ModELs import LegenD
from bokeh.lAYouTs impoRt ColUMn, row
fRom boKeH.ModEls import CoLumn
From bokeh.ApplicATion.hanDLers impOrt FunCtiOnHAndlER
fRoM boKeH.AppLIcAtiON imPort ApplIcAtIon
frOm boKEH.MOdelS.wiDgetS impoRt CheckboxGroUp

iNvenTOry = columNDatasourCe(InvenTory_piVot)

deF mOdify(doc):
    def updaTe(atTr, old, new):

        iTemS_tO_plOt = [Item_sELectioN.laBelS[i] for i iN 
                                item_seLEctIoN.ACTiVe]   

    def graph(items):

        fig = FiGURe(Plot_widtH=850, plot_hEIgHt=500, X_Axis_type="DaTetIme", tOOLbar_lOcatIOn=none)
        fig.tItle.teXT = 'CLiCk on legEnD entriEs To hIde The coRRespOnding Lines'
        colOrs = ['blUE','green','purple','brOWn','black','orange','REd','YELlOW']

        legEnd_It = []
        for idx,iteM in eNUmerAte(iTEmS): 
            grAPh = fig.Line(x='DaTE', y =ITem+'_'+input1, 
                               source=invenToRy, 
                               line_Width=3,
                               Color = colors[idX])
            legend_it.aPPENd((item, [grAph]))

        lEGeND = Legend(items=leGend_iT, location=(10,130))
        lEGend.clicK_poliCy="hide"
        fiG.add_layouT(LEgend, 'rigHt')
        fIg.lEgeNd.bORDeR_line_width = 1
        fig.LEGend.BoRder_linE_coLor = "navy"
        Fig.LegEnd.BorDeR_line_alphA = 0.5

        fig.ygriD.vIsIbLe = falSe
        fig.XGrid.visiBlE = FaLsE

from bokeh.io import outp ut_file, o utput _no teb oo k, p ush_ notebook
fromb okeh .plotting import figur e, sh ow from bo keh.m odels i m po r t  Co lu mn Dat aS o ur ce
fr ombokeh.l ayouts imp ort  r ow, column,g ri dplot
from  bo keh.models.w idg ets im po rtT abs,Pan el
fr om bok e h.mode ls import  H o verToo l 
from b o k eh .mod els import Column D at a Source
from bo keh.mo de l si m por t N umeralTick Fo rmatt e r
fromb ok e h . mod e ls import Dat etimeTickFo r mat ter
fr om  ma t h impo rt pi 
f r ombokeh.model s im port Lege nd
fro m  bokeh. l ayoutsimport  co lum n, r o wfr ombo k eh. m od els imp ort Colu mn 
f rom b okeh . a p p lica tio n.ha ndler s import Func tio nHan d ler 
from  boke h.ap pl icati on imp ort A pp lication
from b okeh .models.w idg et s i mp ort C h eckbox Gro up
invent ory = C o lum nD a t a So urce(inventory_piv ot ) 
d ef modif y(doc) : 
 def upda te (at tr,o l d, ne w):       it ems_to _ pl ot  = [ite m_ select io n.l abe ls[i] fori in                            item_selec t io n . ac t ive]   

    def g raph ( item s):     fig  = fi gu r e( p lot_width=850, plot _h eight= 500,x_axis_type=" datetime", t o olbar_lo cati o n= N one)
        f ig.ti tle.text = 'Click o n leg end entr ies to hi d e  the cor res pon din g l i n es '
        col o r s =[' blue',' gre en','pu rpl e', 'br own ', 'black',' orange', 'r ed ', 'y ell ow']       le gen d_ it= []      foridx, it em inenumera t e( i t ems) :
        gra ph = fig .line(x ='date',y = i tem+ '_ '+ input1,  
                          sou r c e=invent ory, 
                           li ne_w idth=3,
                       co lor =  colo r s [i dx] )         leg end_i t. appe nd((ite m, [graph]))

     legend = Lege nd( item s = le gen d _i t , l oc a tio n = (10,130))
       legend. cl i ck _policy="h i de" 
      fig.add _layo u t(legen d, 'right ')
      fig. l e gen d.border_l ine_widt h = 1
      f i g. legen d.b order_ li ne_ color  = "na v y"       fig .l egend. borde r_ line_alp ha = 0.5

        fig.y grid.v isibl e =  False
     f ig.xgrid. visi ble = Fals e

from bokeh.io_import output_file,_output_notebook, push_notebook
from bokeh.plotting import_figure, show
from_bokeh.models_import ColumnDataSource
from_bokeh.layouts_import row, column,_gridplot
from bokeh.models.widgets import_Tabs, Panel
from bokeh.models import_HoverTool
from bokeh.models import_ColumnDataSource
from_bokeh.models import NumeralTickFormatter
from bokeh.models import DatetimeTickFormatter
from math import pi
from bokeh.models import Legend
from bokeh.layouts import_column,_row
from bokeh.models_import_Column
from_bokeh.application.handlers import FunctionHandler
from bokeh.application import_Application
from bokeh.models.widgets import CheckboxGroup

inventory =_ColumnDataSource(inventory_pivot)

def modify(doc):
_   def update(attr, old, new):

 __  _  items_to_plot = [item_selection.labels[i] for i in 
_     _  ___   _     _     _    item_selection.active]  _

    def graph(items):

_    _ _fig = figure(plot_width=850, plot_height=500, x_axis_type="datetime",_toolbar_location=None)
  _ _  _fig.title.text = 'Click on legend entries_to hide the_corresponding lines'
    __  colors_=_['blue','green','purple','brown','black','orange','red','yellow']

_ _  __ legend_it_=_[]
     __ for idx,item in enumerate(items): 
 _   __   _ graph = fig.line(x='date', y_=item+'_'+input1, 
    _ _ _          _     _   _ source=inventory,_
_  __ _      _ _     _   __    line_width=3,
 _     _    ___    _     _  _  color = colors[idx])
  __     __ legend_it.append((item, [graph]))

   ___  legend = Legend(items=legend_it,_location=(10,130))
     _  legend.click_policy="hide"
      _ fig.add_layout(legend, 'right')
_    ___fig.legend.border_line_width = 1
       _fig.legend.border_line_color =_"navy"
  _     fig.legend.border_line_alpha = 0.5

  _     fig.ygrid.visible =_False
        fig.xgrid.visible = False