带有散景和pandas的简单条形图不会解析工具提示中的Column1值(而是显示???):
import pandas as pd
import bokeh.plotting as bk
from bokeh.models import HoverTool
my_df = pd.DataFrame(
{
"Column1": [7,19,16],
"Column2": ["Age","Age","Notage"]
}, index = [
"Row1",
"Row2",
"Row3"
]
)
hover = HoverTool(
tooltips = [
("index1", "@Column1")
]
)
p = bk.figure(
tools=[hover],
x_range=list(my_df.index.values),
)
p.vbar(
x=list(my_df.index.values),
width=0.4,
top=my_df["Column1"]
)
bk.show(p)
为什么这是为什么以及大多数示例传递source = ColumnDataSource(my_df)
的原因。可以在没有ColumnDataSource的情况下完成吗?
谢谢!
答案 0 :(得分:0)
是这样的吗?如果有人有没有ColumnDataSource的例子,请发帖。
import numpy as np
import pandas as pd
import bokeh.plotting as bk
from bokeh.models import HoverTool
my_df = pd.DataFrame(
{
"Column1": [7,19,16],
"Column2": ["Age","Age","Notage"],
"Rows": ["Row1", "Row2", "Row3" ]
}
)
source = bk.ColumnDataSource(my_df)
hover = HoverTool(
tooltips = [
("index1", "@Column1")
]
)
p = bk.figure(
tools=[hover],
x_range=list(my_df["Rows"].values),
)
p.vbar(
x="Rows",
width=0.4,
top="Column1",
source=source
)
bk.show(p)