我在Django中创建了一个垃圾邮件检测系统，在应用的主页上，我将输入任意字符串，该字符串将传递给机器学习函数，该函数会返回字符串是垃圾邮件还是正常邮件，结果将在下一页显示，但我在pd.read_csv函数中无法定义CSV文件的路径。它显示错误 ‘../data/spam.csv’ 不存在: b’../data/spam.csv’

view.py 文件

def hompage(request):    form = DetectForm(request.POST)    return render(request, 'index.html', {'form': form})def result(request):     form=DetectForm(request.POST)    if form.is_valid():        x=form.cleaned_data['msg']        y=machine(x)    return render(request, 'result.html',{'msg':y})

ml.py 文件

    def machine(stringx):        import pandas as pd        import numpy as np        import re        from nltk.stem.porter import PorterStemmer        from nltk.corpus import stopwords        data = pd.read_csv('../data/spam.csv', encoding='latin-1')        data = data.iloc[:, [0, 1]]        data['v1'] = data.v1.map({'ham': 0, 'spam': 1})        courpas = []        # data_cleaning        string = stringx        df2 = pd.DataFrame({"v1": [0],                            "v2": [string]})        data = data.append(df2, ignore_index=True)        # data_cleaning        for a in data['v2']:            review = re.sub('[^a-zA-Z]', ' ', a)            review = review.lower()            review = review.split()            ps = PorterStemmer()            review = [ps.stem(x) for x in review if not x in stopwords.words('english')]            review = ' '.join(review)            courpas.append(review)        # create a bag of word model        from sklearn.feature_extraction.text import CountVectorizer        cv = CountVectorizer(max_features=5000)        x = cv.fit_transform(courpas).toarray()        y = data.iloc[:, 0].values        x_train, ytrain = x[:-1], y[:-1]        x_test, y_test = x[5572:5573], y[5572:5573]        from sklearn.model_selection import train_test_split        from sklearn.naive_bayes import GaussianNB        classifier = GaussianNB()        classifier.fit(x_train, ytrain)        y_pred = classifier.predict(x_test)        if y_pred == 1:            return 'spam'        else:            return 'ham'

result.html 文件

{% block title %}    <h2>Result</h2>    {% endblock %}    {% block content %}    <p>{{msg}}</p>        {% endblock %}

url.py 文件

    from django.conf.urls import url    from . import  views    from django.urls import path    app_name = "spam"    urlpatterns=[    url(r'^',views.hompage,name='hompage'),    ]

回答：

如果数据文件夹位于项目的根目录，则

data = pd.read_csv('data/spam.csv', encoding='latin-1') 就可以工作

或者你可以使用 BASE_DIR 变量来创建路径

然后在你的视图中使用这个变量

data_dir = os.path.join(BASE_DIR, 'data') # 将此放在settings.py中

在视图中

from django.conf import settingsdata = pd.read_csv(settings.data_dir + 'spam.csv', encoding='latin-1')