我想使用 django 运行机器学习算法，但 django 没有采用 csv 文件路径

Question

我正在主页的应用程序中的 django 中创建垃圾邮件检测系统，我将输入任何字符串，该字符串将转到 ML 函数，该函数返回字符串是垃圾邮件或火腿，该结果将在下一页打印，但我无法在函数pd.read_csv定义 csv 文件的 pata。 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'

结果.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'),
    ]

Answer 1

如果数据文件夹是项目的根目录，则

data = pd.read_csv('data/spam.csv', encoding='latin-1')会完成这项工作

或者您可以使用BASE_DIR变量
创建路径

然后在视图中使用此变量

data_dir = os.path.join(BASE_DIR, 'data') # place this in settings.py

在视图中

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