On Thursday, May 4, 2017 at 6:21:29 PM UTC+2, Enrico Rotundo wrote:

I’d like to have a boxplot for each column of my dataframe (example), with pandas it’s as easy as df.plot.box*()*, but with Bokeh I must specify the categorical variable, even if it is an optional parameter.

`from bokeh.charts import BoxPlot, show
import pandas as pd

df = pd.DataFrame({‘one’: [1,2,3,7,8,4,-1,5,2,1], ‘two’:[1,1,1,2,2,2,2,1,1,1]})

this works

p1 = BoxPlot(df, values=‘one’, label=‘two’)
show(p1)

this compiles a HTML file but rendering fails with the message below

p2 = BoxPlot(df, values=‘one’)
show(p2)`

this also fails

p3 = BoxPlot(df)
show(p3)

``

On May 5, 2017, at 00:56, Enrico Rotundo enrico.rotundo@gmail.com wrote:

Here’s the error message: “null is not an object (evaluation ‘h.indexOf’)”

On Thursday, May 4, 2017 at 6:21:29 PM UTC+2, Enrico Rotundo wrote:

I’d like to have a boxplot for each column of my dataframe (example), with pandas it’s as easy as df.plot.box*()*, but with Bokeh I must specify the categorical variable, even if it is an optional parameter.

`from bokeh.charts import BoxPlot, show
import pandas as pd

df = pd.DataFrame({‘one’: [1,2,3,7,8,4,-1,5,2,1], ‘two’:[1,1,1,2,2,2,2,1,1,1]})

this works

p1 = BoxPlot(df, values=‘one’, label=‘two’)
show(p1)

this compiles a HTML file but rendering fails with the message below

p2 = BoxPlot(df, values=‘one’)
show(p2)`

this also fails

p3 = BoxPlot(df)
show(p3)

``

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