问题
I am trying to Create a bokeh bar chart using Python. The data2 is the values
from bokeh.plotting import figure, output_file, show,hplot
from bokeh.charts import Bar
data2=[65.75, 48.400000000000006, 58.183333333333337, 14.516666666666666]
bar = Bar(values=data2,xlabel="beef,pork,fowl,fish",ylabel="Avg consumtion", width=400)
show(bar)
Error
TypeError: Bar() takes at least 1 argument (1 given)
What am I doing wrong Here?
回答1:
The bokeh.charts API (including Bar) was deprecated and removed from Bokeh in 2017. It is unmaintained and unsupported and should not be used for any reason at this point. A simple bar chart can be accomplished using the well-supported bokeh.plotting API:
from bokeh.plotting import figure, show
categories = ["beef", "pork", "fowl", "fish"]
data = [65.75, 48.4, 58.183, 14.517]
p = figure(x_range=categories)
p.vbar(x=categories, top=data, width=0.9)
show(p)
For more information on the vastly improved support for bar and categorical plots in bokeh.plotting, see the extensive user guide section Handling Categorical Data
回答2:
Note from Bokeh project maintainers: This answer refers to an obsolete and deprecated API. For information about creating bar charts with modern and fully supported Bokeh APIs, see the other response.
You might want to put all of your data in a data frame.
To directly plot what you want without doing that, you need to remove the "values" keyword.
bar = Bar(data2,xlabel="beef,pork,fowl,fish",ylabel="Avg consumtion", width=400)
This won't add your x-labels though. To do that you can do the following:
from bokeh.plotting import figure, output_file, show,hplot
from bokeh.charts import Bar
from pandas import DataFrame as df
data2=[65.75, 48.400000000000006, 58.183333333333337, 14.516666666666666]
myDF = df(
dict(
data=data2,
label=["beef", "pork", "fowl", "fish"],
))
bar = Bar(myDF, values="data",label="label",ylabel="Avg consumption", width=400)
show(bar)
来源：https://stackoverflow.com/questions/36959406/bokeh-bar-plot