我正在尝试将django与pandas一起用于数据分析.似乎没有简单的分步教程.我在网上看到的所有内容都解释了如何在django views.py文件中编写代码,但没有一个显示如何在浏览器中显示最终产品.
这是我的views.py中的代码
def index2(request):
qs = Product.objects.all()
df = read_frame(qs)
html= df.to_html
return HttpResponse(html)
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但这不起作用.任何详细的帮助将不胜感激.请不要只指我一些文件.事实上,django的大部分文档都不是用简单的简单英语写成的 - 对我们中的一些人来说更令人困惑.谢谢.
Ste*_*e W 19
这是使用Django_Pandas和'扩展Bootstrap表'的最小但优雅的解决方案(https://github.com/wenzhixin/bootstrap-table)
优雅来自于将Pandas DataFrame导出为JSON以及Bootstrap Table脚本使用该JSON内容的能力.
HTML表是为我们编写的,我们不需要担心它(看下面我们只是包含'table'标签,而不是自己编写行,甚至是for循环.)它是交互式的.而Bootstrap让它看起来很漂亮.
要求:Bootstrap,JQuery,Django_Pandas,wenzhixin/bootstrap-table
models.py
from django.db import models
from django_pandas.managers import DataFrameManager
class Product(models.Model):
product_name=models.TextField()
objects = models.Manager()
pdobjects = DataFrameManager() # Pandas-Enabled Manager
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views.py
from models import Product
def ProductView(request):
qs = Product.pdobjects.all() # Use the Pandas Manager
df = qs.to_dataframe()
template = 'product.html'
#Format the column headers for the Bootstrap table, they're just a list of field names,
#duplicated and turned into dicts like this: {'field': 'foo', 'title: 'foo'}
columns = [{'field': f, 'title': f} for f in Product._Meta.fields]
#Write the DataFrame to JSON (as easy as can be)
json = df.to_json(orient='records') # output just the records (no fieldnames) as a collection of tuples
#Proceed to create your context object containing the columns and the data
context = {
'data': json,
'columns': columns
}
#And render it!
return render(request, template, context)
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product.html
<script src='/path/to/bootstrap.js'>
<script src='/path/to/jquery.js'>
<script src='/path/to/bootstrap-table.js'>
<script src='/path/to/pandas_bootstrap_table.js'>
<table id='datatable'></table>
<!-- Yep, all you need is a properly identified
but otherwise empty, table tag! -->
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pandas_bootstrap_table.js
$(function() {
$('#datatable')({
striped: true,
pagination: true,
showColumns: true,
showToggle: true,
showExport: true,
sortable: true,
paginationVAlign: 'both',
pageSize: 25,
pageList: [10, 25, 50, 100, 'ALL'],
columns: {{ columns|safe }}, // here is where we use the column content from our Django View
data: {{ data|safe }}, // here is where we use the data content from our Django View. we escape the content with the safe tag so the raw JSON isn't shown.
});
});
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Ber*_*age 10
to_html
是一个函数,您必须调用它。
def index2(request):
df = read_frame(Product.objects.all())
return HttpResponse(df.to_html())
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