找一份基于python的可视化大屏代码

以下是一个基于Python的可视化大屏的示例代码，使用了Bokeh库和Pandas库：

import pandas as pd
from bokeh.io import curdoc
from bokeh.layouts import row, column
from bokeh.models import ColumnDataSource, Select
from bokeh.plotting import figure

# load data
data = pd.read_csv('data.csv')

# create data source
source = ColumnDataSource(data=data)

# create scatter plot
scatter_plot = figure(title='Scatter Plot', x_axis_label='X', y_axis_label='Y')
scatter_plot.circle(x='x', y='y', size=10, source=source)

# create bar chart
bar_chart = figure(title='Bar Chart', x_axis_label='Category', y_axis_label='Value')
bar_chart.vbar(x='category', top='value', width=0.9, source=source)

# create select widget
options = ['Scatter Plot', 'Bar Chart']
select_widget = Select(title='Select Chart', options=options)

# define update function
def update_chart(attrname, old, new):
    if select_widget.value == 'Scatter Plot':
        layout.children[1] = scatter_plot
    else:
        layout.children[1] = bar_chart

# add select widget callback
select_widget.on_change('value', update_chart)

# create layout
layout = column(select_widget, scatter_plot)

# add layout to document
curdoc().add_root(layout)

这个代码加载了一个名为“data.csv”的数据文件，创建了一个散点图和一个条形图，还创建了一个下拉菜单，可以选择要显示的图表。当用户选择不同的图表时，相应的图表将在界面上更新。