In [1]:

    

from bokeh.io import output_notebook, show
output_notebook()


    

    





    
        
        
        
    

        
        BokehJS successfully loaded.
    

In [13]:

    

import pandas as pd
from bokeh.sampledata import stocks

ibm = pd.DataFrame(stocks.IBM)
ibm.date = pd.to_datetime(ibm.date)
ibm.head()


    

    
Out[13]:






  

    

      

      
adj_close
      
close
      
date
      
high
      
low
      
open
      
volume
    
  
  

    

      
0
      
84.48
      
100.25
      
2000-03-01
      
105.50
      
100.06
      
102.00
      
10807800
    
    

      
1
      
86.90
      
103.12
      
2000-03-02
      
105.44
      
99.50
      
100.50
      
11192900
    
    

      
2
      
91.01
      
108.00
      
2000-03-03
      
110.00
      
106.06
      
107.25
      
10162800
    
    

      
3
      
86.85
      
103.06
      
2000-03-06
      
111.00
      
101.00
      
109.94
      
10747400
    
    

      
4
      
86.80
      
103.00
      
2000-03-07
      
107.00
      
101.69
      
106.00
      
10035100
    
  

In [6]:

    

ibm.volume.min()


    

    
Out[6]:





1027500

In [46]:

    

from bokeh.io import output_notebook, show
output_notebook()

import pandas as pd
from bokeh.sampledata import stocks

ibm = pd.DataFrame(stocks.IBM)
ibm.date = pd.to_datetime(ibm.date)

from datetime import datetime
from bokeh.models import (
    ColumnDataSource, 
    Range1d, 
    Plot, 
    DatetimeAxis, 
    LinearAxis,
    DatetimeTickFormatter,
    DatetimeTicker,
    Line,
    WheelZoomTool,
)
from bokeh.properties import value

source = ColumnDataSource(ibm)
xdr = Range1d(ibm.date.min(), ibm.date.max())
ydr = Range1d(ibm.volume.min(), ibm.volume.max())
PLOT_FORMATS = dict(
    x_range=xdr,
    y_range=ydr,
    title="",
    plot_width=600,
    plot_height=400,
    outline_line_color=None,
    toolbar_location=None,    
)
AXIS_FORMATS = dict(
    minor_tick_in=None,
    minor_tick_out=None,
    major_tick_in=None,
    major_label_text_font_size="10pt",
    major_label_text_font_style="normal",
    axis_label_text_font_size="10pt",

    axis_line_color='#AAAAAA',
    major_tick_line_color='#AAAAAA',
    major_label_text_color='#666666',

    major_tick_line_cap="round",
    axis_line_cap="round",
    axis_line_width=1,
    major_tick_line_width=1,
)

formatter = DatetimeTickFormatter(
    formats=dict(
        hours=["%B %Y"],
        days=["%B %Y"],
        months=["%B %Y"],
        years=["%B %Y"],
    )
)

xaxis = DatetimeAxis(formatter=formatter, ticker=DatetimeTicker(desired_num_ticks=3), **AXIS_FORMATS)
default_x = DatetimeAxis(**AXIS_FORMATS)

yaxis = LinearAxis(axis_label="volume", **AXIS_FORMATS)   

line = Line(x='date', y='volume', line_color=value('darkcyan'), line_width=5)

plot = Plot(**PLOT_FORMATS)
plot.add_layout(default_x, 'above')
plot.add_layout(xaxis, 'below')
plot.add_layout(yaxis, 'left')
plot.add_glyph(source, line)
plot.add_tools(WheelZoomTool(dimensions=['width']))
show(plot)


    

In [ ]: