I’m creating a pandas dataframe in a bokeh-server dependent applet, and I’m getting an error that ‘TypeError: True is not JSON serializable’ referencing back to to L89 in protocol.py. This only happens when my df contains a column of bool values. I can convert the column to string, and back, but that seems rather inefficient. Is there a way I can get around this issue?
For more detail: I’m running bokeh 0.7.1 on python 2.7 via Anaconda, on Windows 7
This might be a bug, can you file a GitHub issue? We are about to have a code freeze for 0.8 release but this kind of fix could go in a dev build soon after that.
Thanks,
Bryan
On Feb 11, 2015, at 8:39 AM, [email protected] wrote:
I'm creating a pandas dataframe in a bokeh-server dependent applet, and I'm getting an error that 'TypeError: True is not JSON serializable' referencing back to to L89 in protocol.py. This only happens when my df contains a column of bool values. I can convert the column to string, and back, but that seems rather inefficient. Is there a way I can get around this issue?
For more detail: I'm running bokeh 0.7.1 on python 2.7 via Anaconda, on Windows 7
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Hi,
On Wed, Feb 11, 2015 at 3:39 PM, [email protected] wrote:
I’m creating a pandas dataframe in a bokeh-server dependent applet, and I’m getting an error that ‘TypeError: True is not JSON serializable’ referencing back to to L89 in protocol.py. This only happens when my df contains a column of bool values. I can convert the column to string, and back, but that seems rather inefficient. Is there a way I can get around this issue?
For more detail: I’m running bokeh 0.7.1 on python 2.7 via Anaconda, on Windows 7
I can reproduce this:
In [1]: import pandas as pd
In [2]: from bokeh.protocol import *
In [3]: pd.DataFrame({“x”: True, “y”: False}, index=[0, 1]).to_dict()
Out[3]: {‘x’: {0: True, 1: True}, ‘y’: {0: False, 1: False}}
In [4]: serialize_json(_)
(…)
TypeError: False is not JSON serializable
In [5]: type(3[‘x’][0])
Out[5]: numpy.bool
Bryan, I will take care of this.
Mateusz
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Hi,
On Wed, Feb 11, 2015 at 4:55 PM, Mateusz Paprocki [email protected] wrote:
Hi,
Fixed in PR #1854.
Mateusz
On Wed, Feb 11, 2015 at 3:39 PM, [email protected] wrote:
I’m creating a pandas dataframe in a bokeh-server dependent applet, and I’m getting an error that ‘TypeError: True is not JSON serializable’ referencing back to to L89 in protocol.py. This only happens when my df contains a column of bool values. I can convert the column to string, and back, but that seems rather inefficient. Is there a way I can get around this issue?
For more detail: I’m running bokeh 0.7.1 on python 2.7 via Anaconda, on Windows 7
I can reproduce this:
In [1]: import pandas as pd
In [2]: from bokeh.protocol import *
In [3]: pd.DataFrame({“x”: True, “y”: False}, index=[0, 1]).to_dict()
Out[3]: {‘x’: {0: True, 1: True}, ‘y’: {0: False, 1: False}}
In [4]: serialize_json(_)
(…)
TypeError: False is not JSON serializable
In [5]: type(3[‘x’][0])
Out[5]: numpy.bool
Bryan, I will take care of this.
Mateusz
–
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For more options, visit https://groups.google.com/a/continuum.io/d/optout.