Jupyter实验室或pandas可以提供静态文件吗?

如果我在经营一家 Jupyter notebook server 分析员可以浏览服务器URL来运行IPython(典型的IPython,但托管在远程),分析员可以将CSV格式的数据导出到本地机器吗?比如从熊猫数据争吵过程中下载他们正在处理的CSV文件?

# Example python program to read data from a PostgreSQL table
# and load into a pandas DataFrame
import psycopg2
import pandas as pds
from sqlalchemy import create_engine

# Create an engine instance
alchemyEngine = create_engine('postgresql+psycopg2://test:@127.0.0.1', pool_recycle=3600);

# Connect to PostgreSQL server
dbConnection = alchemyEngine.connect();

# Read data from PostgreSQL database table and load into a DataFrame instance
dataFrame = pds.read_sql("select * from \"StudentScores\"", dbConnection);

pds.set_option('display.expand_frame_repr', False);

# Print the DataFrame
print(dataFrame);

# Close the database connection
dbConnection.close();

Jupyter实验室会像web服务器一样提供静态文件吗?例如,Flask服务器可以提供静态文件,很抱歉不是web开发人员,但我已经在Flask中进行了实验。烧瓶代码如下所示 send_file 要提供静态文件,请执行以下操作:

from flask import Flask, request, send_file
import io
import os
import csv 
app = Flask(__name__)
@app.route('/get_csv')
def get_csv():
    """ 
    Returns the monthly weather csv file (Montreal, year=2019)
    corresponding to the month passed as parameter.
    """
    # Checking that the month parameter has been supplied
    if not "month" in request.args:
        return "ERROR: value for 'month' is missing"
    # Also make sure that the value provided is numeric
    try:
        month = int(request.args["month"])
    except:
        return "ERROR: value for 'month' should be between 1 and 12"
    csv_dir  = "./static"
    csv_file = "2019_%02d_weather.csv" % month
    csv_path = os.path.join(csv_dir, csv_file)
    
    # Also make sure the requested csv file does exist
    if not os.path.isfile(csv_path):
        return "ERROR: file %s was not found on the server" % csv_file
    # Send the file back to the client
    return send_file(csv_path, as_attachment=True, attachment_filename=csv_file)

如果IPython托管在远程计算机上,IPython或pandas能否提供静态文件?