FixedTickFormatter stop working in 0.12.4rc1

Hello,

an example using DateGapTickFormatter used to work in 0.12.3, not in 0.12.4rc1.

The errors are a bit cryptic. Hopefully a simple bug / a simple cure.

Code below.

Thx !

Complaints in the javascript console:

TypeError: DateGapTickFormatter.define is not a function. (In 'DateGapTickFormatter.define({

date_labels: [p.Any]

})’, ‘DateGapTickFormatter.define’ is undefined)

Error: Model `DateGapTickFormatter’ does not exists. The problem may be two fold. Either a model was requested that’s available in an extra bundle, e.g. a widget, or a custom model was requested, but it wasn’t registered before first usage.

Code:

from math import pi

import pandas as pd

from bokeh.models.formatters import TickFormatter, String, List

from bokeh.plotting import figure, show, output_file

from bokeh.sampledata.stocks import MSFT

from bokeh.io import curdoc,output_file, show

class DateGapTickFormatter(TickFormatter):

date_labels = List(String)

implementation = “”"

_ = require “underscore”

Model = require “model”

p = require “core/properties”

class DateGapTickFormatter extends Model

type: ‘DateGapTickFormatter’

doFormat: (ticks) ->

date_labels = @date_labels

return (date_labels[tick] ? “” for tick in ticks)

@define {

date_labels: [ p.Any ]

}

module.exports =

Model: DateGapTickFormatter

“”"

df = pd.DataFrame(MSFT)[:50]

date_labels = [date.strftime(’%b %d’) for date in pd.to_datetime(df[“date”])]

mids = (df.open + df.close)/2

spans = abs(df.close-df.open)

inc = df.close > df.open

dec = df.open > df.close

w = 0.5

TOOLS = “pan,wheel_zoom,box_zoom,reset,save”

p = figure(tools=TOOLS, plot_width=1000, title=“MSFT Candlestick with Custom X-Axis”)

p.xaxis.major_label_orientation = pi/4

p.grid[0].ticker.desired_num_ticks = 6

p.xaxis[0].formatter = DateGapTickFormatter(date_labels = date_labels)

p.segment(df.index, df.high, df.index, df.low, color=“black”)

p.rect(df.index[inc], mids[inc], w, spans[inc], fill_color="#D5E1DD", line_color=“black”)

p.rect(df.index[dec], mids[dec], w, spans[dec], fill_color="#F2583E", line_color=“black”)

curdoc().add_root§

Extension models are still quite new and some aspects of their format and expression are still evolving, please consult the most recent version of the example:
  
  https://github.com/bokeh/bokeh/blob/master/examples/plotting/file/custom_datetime_axis.py

Bryan

···

On Jan 6, 2017, at 3:24 PM, chupach <[email protected]> wrote:

Hello,

an example using DateGapTickFormatter used to work in 0.12.3, not in 0.12.4rc1.
The errors are a bit cryptic. Hopefully a simple bug / a simple cure.
Code below.

Thx !

Complaints in the javascript console:

TypeError: DateGapTickFormatter.define is not a function. (In 'DateGapTickFormatter.define({
                date_labels: [p.Any]
            })', 'DateGapTickFormatter.define' is undefined)

Error: Model `DateGapTickFormatter' does not exists. The problem may be two fold. Either a model was requested that's available in an extra bundle, e.g. a widget, or a custom model was requested, but it wasn't registered before first usage.

Code:

from math import pi
import pandas as pd
from bokeh.models.formatters import TickFormatter, String, List
from bokeh.plotting import figure, show, output_file
from bokeh.sampledata.stocks import MSFT
from bokeh.io import curdoc,output_file, show

class DateGapTickFormatter(TickFormatter):
    date_labels = List(String)

    __implementation__ = """
    _ = require "underscore"
    Model = require "model"
    p = require "core/properties"

    class DateGapTickFormatter extends Model
      type: 'DateGapTickFormatter'

      doFormat: (ticks) ->
        date_labels = @date_labels
        return (date_labels[tick] ? "" for tick in ticks)

      @define {
        date_labels: [ p.Any ]
      }

    module.exports =
      Model: DateGapTickFormatter
    """

df = pd.DataFrame(MSFT)[:50]
date_labels = [date.strftime('%b %d') for date in pd.to_datetime(df["date"])]
mids = (df.open + df.close)/2
spans = abs(df.close-df.open)
inc = df.close > df.open
dec = df.open > df.close
w = 0.5

TOOLS = "pan,wheel_zoom,box_zoom,reset,save"

p = figure(tools=TOOLS, plot_width=1000, title="MSFT Candlestick with Custom X-Axis")
p.xaxis.major_label_orientation = pi/4
p.grid[0].ticker.desired_num_ticks = 6
p.xaxis[0].formatter = DateGapTickFormatter(date_labels = date_labels)
p.segment(df.index, df.high, df.index, df.low, color="black")
p.rect(df.index[inc], mids[inc], w, spans[inc], fill_color="#D5E1DD", line_color="black")
p.rect(df.index[dec], mids[dec], w, spans[dec], fill_color="#F2583E", line_color="black")
curdoc().add_root(p)

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Hi,

···

On Fri, Jan 6, 2017 at 10:24 PM, chupach [email protected] wrote:

Hello,

an example using DateGapTickFormatter used to work in 0.12.3, not in 0.12.4rc1.

The errors are a bit cryptic. Hopefully a simple bug / a simple cure.

Code below.

Thx !

Complaints in the javascript console:

TypeError: DateGapTickFormatter.define is not a function. (In 'DateGapTickFormatter.define({

date_labels: [p.Any]

})’, ‘DateGapTickFormatter.define’ is undefined)

Error: Model `DateGapTickFormatter’ does not exists. The problem may be two fold. Either a model was requested that’s available in an extra bundle, e.g. a widget, or a custom model was requested, but it wasn’t registered before first usage.

Code:

from math import pi

import pandas as pd

from bokeh.models.formatters import TickFormatter, String, List

from bokeh.plotting import figure, show, output_file

from bokeh.sampledata.stocks import MSFT

from bokeh.io import curdoc,output_file, show

class DateGapTickFormatter(TickFormatter):

date_labels = List(String)

implementation = “”"

_ = require “underscore”

Model = require “model”

p = require “core/properties”

class DateGapTickFormatter extends Model

type: ‘DateGapTickFormatter’

doFormat: (ticks) ->

date_labels = @date_labels

return (date_labels[tick] ? “” for tick in ticks)

@define {

date_labels: [ p.Any ]

}

module.exports =

Model: DateGapTickFormatter

“”"

Model imports and exports changed in 0.12.4. Here are necessary changes:

Model = require “model”

{Model} = require “model”

module.exports =
Model: DateGapTickFormatter

module.exports = {

DateGapTickFormatter: DateGapTickFormatter
}

Alternatively, you can use new syntax for imports and exports:

import {Model} from “model”

export class DateGapTickFormatter extends Model

and remove module.exports = {...}.

Mateusz

df = pd.DataFrame(MSFT)[:50]

date_labels = [date.strftime(’%b %d’) for date in pd.to_datetime(df[“date”])]

mids = (df.open + df.close)/2

spans = abs(df.close-df.open)

inc = df.close > df.open

dec = df.open > df.close

w = 0.5

TOOLS = “pan,wheel_zoom,box_zoom,reset,save”

p = figure(tools=TOOLS, plot_width=1000, title=“MSFT Candlestick with Custom X-Axis”)

p.xaxis.major_label_orientation = pi/4

p.grid[0].ticker.desired_num_ticks = 6

p.xaxis[0].formatter = DateGapTickFormatter(date_labels = date_labels)

p.segment(df.index, df.high, df.index, df.low, color=“black”)

p.rect(df.index[inc], mids[inc], w, spans[inc], fill_color="#D5E1DD", line_color=“black”)

p.rect(df.index[dec], mids[dec], w, spans[dec], fill_color="#F2583E", line_color=“black”)

curdoc().add_root§

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].

To post to this group, send email to [email protected].

To view this discussion on the web visit https://groups.google.com/a/continuum.io/d/msgid/bokeh/cbb138ef-155e-43b4-84e4-64c28b60804c%40continuum.io.

For more options, visit https://groups.google.com/a/continuum.io/d/optout.