Plotting DF drops labels?

Community Support
1

Using the example in the doc here:
http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#chart-builders

The 1st example using a pandas df is as follows:

from collections import OrderedDict

from bokeh.charts import Scatter

from bokeh.sampledata.iris import flowers

df = flowers[[“petal_length”, “petal_width”, “species”]]

g = df.groupby(“species”)

scatter = Scatter(g, title=“iris dataset, DataFrame”, notebook=True)

scatter.show()

The doc shows getting the x and y labels

I only get the x-axis and y-axis default label? the rest plost fine

2

Hi Tom,

Thanks for reporting. I’ve just pushed this PR to fix the docs. With 0.8 release new charts design this behaviour is not supported anymore and a more explicit specification is promoted.

Cheers

Fabio

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On Thursday, February 19, 2015 at 10:40:42 PM UTC+1, Tom Brander wrote:

Using the example in the doc here:
http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#chart-builders

The 1st example using a pandas df is as follows:

from collections import OrderedDict

from bokeh.charts import Scatter

from bokeh.sampledata.iris import flowers

df = flowers[[“petal_length”, “petal_width”, “species”]]

g = df.groupby(“species”)

scatter = Scatter(g, title=“iris dataset, DataFrame”, notebook=True)

scatter.show()

The doc shows getting the x and y labels

I only get the x-axis and y-axis default label? the rest plost fine