Bokeh: Seç x-

Question

bu :: gibi bir arsa var arsa (sayı değil) gösterilmesini

from bokeh.io import output_file, show 
from bokeh.charts import Line 
from bokeh.models import FixedTicker 
import pandas as pd 

output_file('file.html') 
data = {'Date shift end': {0: '01/01/16', 1: '01/02/16', 2: '01/03/16', 
          3: '01/04/16', 4: '01/05/16', 5: '01/06/16', 
          6: '01/07/16', 7: '01/08/16', 8: '01/09/16', 
          9: '01/10/16', 10: '01/11/16', 11: '01/12/16', 
          12: '01/13/16', 13: '01/14/16', 14: '01/15/16', 
          15: '01/16/16', 16: '01/17/16', 17: '01/18/16', 
          18: '01/19/16', 19: '01/20/16'}, 
     'Finance_Lbs': {0: 0.0, 1: 92218.080000000002, 2: 469434.14000000001, 
         3: 513948.95000000001, 4: 578014.71999999997, 
         5: 432396.69, 6: 573912.75, 
         7: 519266.57000000001, 8: 586680.66000000003, 
         9: 561292.56999999995, 10: 459121.15000000002, 
         11: 364463.34999999998, 12: 560154.51000000001, 
         13: 473212.65999999997, 14: 576373.17000000004, 
         15: 587393.56999999995, 16: 585796.46999999997, 
         17: 553028.40000000002, 18: 541770.03000000003, 
         19: 534533.95999999996}} 
data = pd.DataFrame(data) 
plot = Line(data, 'Date shift end', 'Finance_Lbs', title='FG Lbs', 
      xlabel='Date', ylabel='Production Lbs', width=1000) 
show(plot) 

Onun bütün noktaları ile bu arsa, istiyorum ama sadece belirli kene göstermek Xaxis :: FixedTicker ile

['01/01/16', '01/05/16', '01/10/16', '01/15/16', '01/20/16'] 

yılında bu hatayı ::

>>> plot.xaxis[0].ticker=FixedTicker(ticks=['01/01/16', '01/05/16', 
              '01/10/16', '01/15/16']) 
Error: expected an element of Seq(Float), got seq with invalid items 
>>> 

0 olsun

Sadece :: ticks için

>>> plot.xaxis[0].ticker=FixedTicker(ticks=[0, 5, 10, 15]) 

sayıları kullanmayı Ama str formatında yerine 'tarih' sayıları sahip bir FixedTicker sonra p.xaxis.formatter kullanma

Answer 1

from bokeh.io import output_file, show 
from bokeh.charts import Line 
from bokeh.models import FixedTicker 
from bokeh.models import FuncTickFormatter, FixedTicker 
import json 
import pandas as pd 

output_file('file.html') 
data = {'Date shift end': {0: '01/01/16', 1: '01/02/16', 2: '01/03/16', 
          3: '01/04/16', 4: '01/05/16', 5: '01/06/16', 
          6: '01/07/16', 7: '01/08/16', 8: '01/09/16', 
          9: '01/10/16', 10: '01/11/16', 11: '01/12/16', 
          12: '01/13/16', 13: '01/14/16', 14: '01/15/16', 
          15: '01/16/16', 16: '01/17/16', 17: '01/18/16', 
          18: '01/19/16', 19: '01/20/16'}, 
     'Finance_Lbs': {0: 0.0, 1: 92218.080000000002, 2: 469434.14000000001, 
         3: 513948.95000000001, 4: 578014.71999999997, 
         5: 432396.69, 6: 573912.75, 
         7: 519266.57000000001, 8: 586680.66000000003, 
         9: 561292.56999999995, 10: 459121.15000000002, 
         11: 364463.34999999998, 12: 560154.51000000001, 
         13: 473212.65999999997, 14: 576373.17000000004, 
         15: 587393.56999999995, 16: 585796.46999999997, 
         17: 553028.40000000002, [![enter image description here][1]][1]18: 541770.03000000003, 
         19: 534533.95999999996}} 
data = pd.DataFrame(data) 
dicaxis = data['Date shift end'].to_dict() 
paxis = len(data)/5 
select_axis_key = range(0, len(data), paxis) 
select_axis = {k:v for (k,v) in dicaxis.items() if k in select_axis_key} 

plot = Line(data, 'Date shift end', 'Finance_Lbs', title='FG Lbs', 
      xlabel='Date', ylabel='Production Lbs', width=1000) 
mapp = """ var mapping = {}; 
     return mapping[tick]; """ 
plot.xaxis.ticker = FixedTicker(ticks=select_axis_key) 
plot.axis.formatter = FuncTickFormatter(code=mapp.format(json.dumps(select_axis))) 
show(plot) 

https://i.stack.imgur.com/8V4kP.png