Comments (1)
I posted the same issue on the bokeh repository not knowing that bokeh.charts was moved here. For the sake of completeness and because I found a workaround, I'm going to repost it here:
Using any of the bokeh.charts classes on a pandas DataFrame as source, I get an TypeError, if one of the axes is timezone aware. However, it works fine with timezone naive axes. I solved the issue for myself by removing the timezone information manually. However, you need to pay attention to use tz_localize(None)
in order to not convert the timestamps to UTC when making it unaware (as shown in the minimum not working example below).
ALL software version info (bokeh, python, notebook, OS, browser, any other relevant packages)
Python 3.5.3 and 3.6.0
Bokeh 0.12.5
Pandas 0.19.2 and 0.20.2
Windows 10
Tried notebooks:
- Cauldron 0.0.31
- Jupyter 4.3.1
Description of expected behavior and the observed behavior
I expected there would be no difference whether a DataFrame column is aware or naive of the timezone. If it is naive, it works fine. If it is time zone aware, I get the TypeError "data type not understood"
Complete, minimal, self-contained example code that reproduces the issue
import pandas as pd
from bokeh.charts import Scatter # also tried with Line. I guess the issue is more fundamental
rng = pd.date_range('1/1/2017', periods=4, freq='H', tz='Europe/Berlin')
df = pd.DataFrame(
{'value': [1, 2, 3, 4]},
index=rng
)
df.index.set_names('time', inplace=True)
df.reset_index(inplace=True)
# df.time = df.time.dt.tz_localize(None) # uncommenting this line "fixes" the issue
Scatter(df, x='time', y='value')
Stack traceback and/or browser JavaScript console output
TypeError Traceback (most recent call last)
<ipython-input-3-b296041eae00> in <module>()
11
12 # df.time = df.time.dt.tz_localize(None)
---> 13 Line(df, x='time', y='value')
Anaconda3\lib\site-packages\bokeh\charts\builders\line_builder.py in Line(data, x, y, **kws)
88 kws['x'] = x
89 kws['y'] = y
---> 90 return create_and_build(LineBuilder, data, **kws)
91
92
Anaconda3\lib\site-packages\bokeh\charts\builder.py in create_and_build(builder_class, *data, **kws)
55 chart_kws = {k: v for k, v in kws.items() if k not in builder_props}
56 chart = Chart(**chart_kws)
---> 57 chart.add_builder(builder)
58 chart.start_plot()
59
Anaconda3\lib\site-packages\bokeh\charts\chart.py in add_builder(self, builder)
151 def add_builder(self, builder):
152 self._builders.append(builder)
--> 153 builder.create(self)
154
155 def add_ranges(self, dim, range):
Anaconda3\lib\site-packages\bokeh\charts\builder.py in create(self, chart)
523 # handle ranges after renders, since ranges depend on aggregations
524 # ToDo: should reconsider where this occurs
--> 525 self.set_ranges()
526 chart.add_ranges('x', self.x_range)
527 chart.add_ranges('y', self.y_range)
Anaconda3\lib\site-packages\bokeh\charts\builder.py in set_ranges(self)
616 endx = extents['x_max']
617 startx = extents['x_min']
--> 618 self.x_range = self._get_range('x', startx, endx)
619
620 endy = extents['y_max']
Anaconda3\lib\site-packages\bokeh\charts\builder.py in _get_range(self, dim, start, end)
671 setattr(self, dim + 'scale', 'categorical')
672 return FactorRange(factors=factors.tolist())
--> 673 elif np.issubdtype(dtype, np.datetime64):
674 setattr(self, dim + 'scale', 'datetime')
675 return Range1d(start=start, end=end)
Anaconda3\lib\site-packages\numpy\core\numerictypes.py in issubdtype(arg1, arg2)
753 """
754 if issubclass_(arg2, generic):
--> 755 return issubclass(dtype(arg1).type, arg2)
756 mro = dtype(arg2).type.mro()
757 if len(mro) > 1:
TypeError: data type not understood
from bkcharts.
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