| from shiny import render, reactive, ui
|
| import pandas as pd
|
| import matplotlib.pyplot as plt
|
|
|
| def create_server():
|
| def server(input, output, session):
|
|
|
| @reactive.Effect
|
| def _():
|
| file = input.file()
|
| if file is not None:
|
|
|
| df = pd.read_csv(file[0]['datapath'])
|
| choices = list(df.columns)
|
| ui.update_select("var1", choices=choices, session=session)
|
| ui.update_select("var2", choices=choices, session=session)
|
|
|
|
|
| @output
|
| @render.table
|
| def table():
|
| file = input.file()
|
| if file is None:
|
| return None
|
| return pd.read_csv(file[0]['datapath'])
|
|
|
|
|
| @output
|
| @render.plot
|
| def plot():
|
| file = input.file()
|
| if file is None:
|
| return None
|
|
|
| df = pd.read_csv(file[0]['datapath'])
|
|
|
|
|
| plt.figure(figsize=(10, 6))
|
| plt.scatter(df[input.var1()], df[input.var2()])
|
| plt.xlabel(input.var1())
|
| plt.ylabel(input.var2())
|
| plt.title(input.plot_title())
|
|
|
| return plt.gcf()
|
|
|
| return server |
