phsheth/flask_to_pandas.py

## flask_to_pandas.py
from flask import Flask, make_response, request
import io
import csv
import numpy as np
import pandas as pd

app = Flask(__name__)

def transform(text_file_contents):
    return text_file_contents.replace("=", ",")


@app.route('/')
def form():
    return """
        <html>
            <body>
                <h1>Transform a file demo</h1>

                <form action="/transform" method="post" enctype="multipart/form-data">
                    <input type="file" name="data_file" />
                    <input type="submit" />
                </form>
            </body>
        </html>
    """

@app.route('/transform', methods=["POST"])
def transform_view():
    f = request.files['data_file']
    if not f:
        return "No file"

    datafile = pd.read_csv(f)
    print(datafile)
    return datafile.values()

if __name__ == "__main__":
    app.run(host='0.0.0.0', port=5001, debug=True)
	from flask import Flask, make_response, request
	import io
	import csv
	import numpy as np
	import pandas as pd

	app = Flask(__name__)

	def transform(text_file_contents):
	return text_file_contents.replace("=", ",")


	@app.route('/')
	def form():
	return """
	<html>
	<body>
	<h1>Transform a file demo</h1>

	<form action="/transform" method="post" enctype="multipart/form-data">
	<input type="file" name="data_file" />
	<input type="submit" />
	</form>
	</body>
	</html>
	"""

	@app.route('/transform', methods=["POST"])
	def transform_view():
	f = request.files['data_file']
	if not f:
	return "No file"

	datafile = pd.read_csv(f)
	print(datafile)
	return datafile.values()

	if __name__ == "__main__":
	app.run(host='0.0.0.0', port=5001, debug=True)