我有一段 Python 示例，可以使瀑布可视化。它使用散景库
它看起来很棒并且在 Jupyter 中运行良好，但是当我在 PowerBI 中使用它时，我收到一个错误，说没有创建图像
该代码使用 show(p) ，当我在 PowerBI 中运行它时，它似乎打开了一个 Internet Explorer 页面
我尝试了一个 matplotlib 示例，它使用： my_plot.get_figure().savefig("waterfall.png",dpi=200,bbox_inches='tight') bokeh lib 有类似的东西吗？
from bokeh.plotting import figure, show
from bokeh.io import output_notebook
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.models.formatters import NumeralTickFormatter
import pandas as pd
#output_notebook()
# Create the initial dataframe
index = ['sales','returns','credit fees','rebates','late charges','shipping']
data = {'amount': [350000,-30000,-7500,-25000,95000,-7000]}
df = pd.DataFrame(data=data,index=index)
# Determine the total net value by adding the start and all additional transactions
net = df['amount'].sum()
df['running_total'] = df['amount'].cumsum()
df['y_start'] = df['running_total'] - df['amount']
# Where do we want to place the label?
df['label_pos'] = df['running_total']
df_net = pd.DataFrame.from_records([(net, net, 0, net)],
columns=['amount', 'running_total', 'y_start', 'label_pos'],
index=["net"])
df = df.append(df_net)
df['color'] = 'grey'
df.loc[df.amount < 0, 'color'] = 'red'
df.loc[df.amount > 0, 'color'] = 'green'
df.loc[df.amount > 300000, 'color'] = 'blue'
df.loc[df.amount < 0, 'label_pos'] = df.label_pos - 10000
df["bar_label"] = df["amount"].map('{:,.0f}'.format)
TOOLS = "box_zoom,reset,save"
source = ColumnDataSource(df)
p = figure(tools=TOOLS, x_range=list(df.index), y_range=(0, net+40000),
plot_width=800, title = "Sales Waterfall")
p.segment(x0='index', y0='y_start', x1="index", y1='running_total',
source=source, color="color", line_width=55)
p.grid.grid_line_alpha=0.3
p.yaxis[0].formatter = NumeralTickFormatter(format="($ 0 a)")
p.xaxis.axis_label = "Transactions"
labels = LabelSet(x='index', y='label_pos', text='bar_label',
text_font_size="8pt", level='glyph',
x_offset=-20, y_offset=0, source=source)
p.add_layout(labels)
show(p)