均匀切片数据帧并存储为其他名称

Question

我有一个 5745个数据，并希望将其分为 24 个相等的数据集。我使用了df_split = np.array_split（df，24），它像这样

我需要运行所有数据的函数并返回24输出。每个datframe具有240个数据集（24个数据集）。例如，我希望计算前240个数据的平均值并将其存储为 X 。

我的最终输出应为 X = [3,4,3,5,7,8 ...] 。其中3是前240个数据（df [0]）的平均值，而4是后240个数据（df 1）的平均值。连续24套。

Answer 1

无需拆分DataFrame-因为您必须分别计算每次拆分的平均值。使用"""Requests-OAuthlib sample for Microsoft Graph """ # Copyright (c) Microsoft. All rights reserved. Licensed under the MIT license. # See LICENSE in the project root for license information. import os import uuid import bottle import requests_oauthlib import config MSGRAPH = requests_oauthlib.OAuth2Session(config.CLIENT_ID, scope=config.SCOPES, redirect_uri=config.REDIRECT_URI) # Enable non-HTTPS redirect URI for development/testing. os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = '1' # Allow token scope to not match requested scope. (Other auth libraries allow # this, but Requests-OAuthlib raises exception on scope mismatch by default.) os.environ['OAUTHLIB_RELAX_TOKEN_SCOPE'] = '1' os.environ['OAUTHLIB_IGNORE_SCOPE_CHANGE'] = '1' bottle.TEMPLATE_PATH = ['./static/templates'] @bottle.route('/') @bottle.view('homepage.html') def homepage(): """Render the home page.""" return {'sample': 'Requests-OAuthlib'} @bottle.route('/login') def login(): """Prompt user to authenticate.""" auth_base = config.AUTHORITY_URL + config.AUTH_ENDPOINT authorization_url, state = MSGRAPH.authorization_url(auth_base) MSGRAPH.auth_state = state return bottle.redirect(authorization_url) @bottle.route('/login/authorized') def authorized(): """Handler for the application's Redirect Uri.""" if bottle.request.query.state != MSGRAPH.auth_state: raise Exception('state returned to redirect URL does not match!') MSGRAPH.fetch_token(config.AUTHORITY_URL + config.TOKEN_ENDPOINT, client_secret=config.CLIENT_SECRET, authorization_response=bottle.request.url) return bottle.redirect('/graphcall') @bottle.route('/graphcall') @bottle.view('graphcall.html') def graphcall(): """Confirm user authentication by calling Graph and displaying some data.""" endpoint = config.RESOURCE + config.API_VERSION + '/me' headers = {'SdkVersion': 'sample-python-requests-0.1.0', 'x-client-SKU': 'sample-python-requests', 'SdkVersion': 'sample-python-requests', 'client-request-id': str(uuid.uuid4()), 'return-client-request-id': 'true'} graphdata = MSGRAPH.get(endpoint, headers=headers).json() return {'graphdata': graphdata, 'endpoint': endpoint, 'sample': 'Requests-OAuthlib'} @bottle.route('/static/<filepath:path>') def server_static(filepath): """Handler for static files, used with the development server.""" root_folder = os.path.abspath(os.path.dirname(__file__)) return bottle.static_file(filepath, root=os.path.join(root_folder, 'static')) if __name__ == '__main__': bottle.run(app=bottle.app(), server='wsgiref', host='localhost', port=5000) ，您可以执行以下操作：

groupby

如果您想要单列的均值，则可以这样做：

n = 24
size = np.ceil(len(df) / n).astype(int)

X = df.groupby(df.index % size).mean()

或者，作为列表：

X = df.groupby(df.index % size)['Close'].mean()