如何在Flask应用程序中使用上载的CSV文件? [英] How can I use an uploaded CSV file in my flask app?
本文介绍了如何在Flask应用程序中使用上载的CSV文件?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我使用官方烧瓶指南创建了一个上传系统.现在，我想在Web应用程序中使用上载的文件读取为熊猫数据框，然后将其用于其他目的.我使用了以下行
I created an upload system with the official flask tutorial. Now I want to use the uploaded file in my web app to read as pandas data frame then use it for another purpose. I used the following line
df = pd.read_csv(url_for('static', filename=filename))
做到这一点.但这对我不起作用，如何从存储中读取上传的文件并将其分配给pandas数据框?
to do that. But It didn't work for me, how can I read the uploaded file from the storage and assign it to pandas data frame?
这是我的完整代码！
def allowed_file(filename):
return '.' in filename and filename.rsplit('.',1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/', methods=['GET','POST'])
def upload_file(filename=None,column=None, data=None):
if request.method == 'POST':
if 'file' not in request.files:
flash("No file part")
return redirect(request.url)
file = request.files['file']
if file.filename == '':
flash("No selected file")
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
df = pd.read_csv(url_for('static', filename=filename))
column = list(df)
data = [list(df[d]) for d in column]
return render_template('index.html', filename=filename, data=data, column=column)
index.html
<!doctype <!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Upload File</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" media="screen" href="main.css" />
<script src="main.js"></script>
</head>
<body>
{% if data %}
<p>Data Found!!!</p>
{% endif %}
<h1>Upload new File</h1>
<form method=post enctype=multipart/form-data>
<input type=file name=file>
<input type=submit value=Upload>
</form>
</body>
</html>
我是Flask Web开发的新手.
推荐答案
问题似乎是您没有从保存文件的位置读取文件.试试这个:
The issue looks like you're just not reading the file from where you saved it. Try this:
filename = secure_filename(file.filename)
file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(file_path)
df = pd.read_csv(file_path)
这篇关于如何在Flask应用程序中使用上载的CSV文件?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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