Python 如何将 Pandas 数据框显示到现有的 Flask html 表中？
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How to show a pandas dataframe into a existing flask html table?
提问by Motta
This may sound a noob question, but I'm stuck with it as Python is not one of my best languages.
这听起来可能是个菜鸟问题，但我坚持下去，因为 Python 不是我最好的语言之一。
I have a html page with a table inside it, and I would like to show a pandas dataframe in it. What is the best way to do it? Use pandasdataframe.to_html?
我有一个 html 页面，里面有一个表格，我想在其中显示一个 Pandas 数据框。最好的方法是什么？使用pandasdataframe.to_html？
py
py
from flask import Flask;
import pandas as pd;
from pandas import DataFrame, read_csv;
file = r'C:\Users\myuser\Desktop\Test.csv'
df = pd.read_csv(file)
df.to_html(header="true", table_id="table")
html
html
<div class="table_entrances" style="overflow-x: auto;">
<table id="table">
<thead></thead>
<tr></tr>
</table>
</div>
回答by Nihal
working example:
工作示例：
python code:
蟒蛇代码：
from flask import Flask, request, render_template, session, redirect
import numpy as np
import pandas as pd
app = Flask(__name__)
df = pd.DataFrame({'A': [0, 1, 2, 3, 4],
'B': [5, 6, 7, 8, 9],
'C': ['a', 'b', 'c--', 'd', 'e']})
@app.route('/', methods=("POST", "GET"))
def html_table():
return render_template('simple.html', tables=[df.to_html(classes='data')], titles=df.columns.values)
if __name__ == '__main__':
app.run(host='0.0.0.0')
html:
html：
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
{% for table in tables %}
{{titles[loop.index]}}
{{ table|safe }}
{% endfor %}
</body>
</html>
or else use
否则使用
return render_template('simple.html', tables=[df.to_html(classes='data', header="true")])
and remove {{titles[loop.index]}}line from html
并{{titles[loop.index]}}从 html 中删除行
if you inspect element on html
如果您检查 html 上的元素
<html lang="en"><head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body style="">
<table border="1" class="dataframe data">
<thead>
<tr style="text-align: right;">
<th></th>
<th>A</th>
<th>B</th>
<th>C</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
<td>5</td>
<td>a</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>6</td>
<td>b</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>7</td>
<td>c--</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>8</td>
<td>d</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>9</td>
<td>e</td>
</tr>
</tbody>
</table>
</body></html>as you can see it has tbody and thead with in table html. so you can easily apply css.
如您所见，它在表格 html 中有 tbody 和 thead。所以你可以很容易地应用css。
回答by Chris Farr
In case anyone finds this helpful. I have gone with an alternative because I needed more customization, including the ability to add buttons in the table that performed actions. I also really don't like the standard table formatting as it is very ugly IMHO.
如果有人觉得这有帮助。我选择了一个替代方案，因为我需要更多的自定义，包括在表中添加执行操作的按钮的能力。我也真的不喜欢标准表格格式，因为恕我直言，它非常难看。
...
df = pd.DataFrame({'Patient Name': ["Some name", "Another name"],
"Patient ID": [123, 456],
"Misc Data Point": [8, 53]})
...
# link_column is the column that I want to add a button to
return render_template("patient_list.html", column_names=df.columns.values, row_data=list(df.values.tolist()),
link_column="Patient ID", zip=zip)
HTML Code: This Dynamically Converts any DF into a customize-able HTML table
HTML 代码：这将任何 DF 动态转换为可自定义的 HTML 表
<table>
<tr>
{% for col in column_names %}
<th>{{col}}</th>
{% endfor %}
</tr>
{% for row in row_data %}
<tr>
{% for col, row_ in zip(column_names, row) %}
{% if col == link_column %}
<td>
<button type="submit" value={{ row_ }} name="person_id" form="patient_form" class="patient_button">
{{ row_ }}
</button>
</td>
{% else %}
<td>{{row_}}</td>
{% endif %}
{% endfor %}
</tr>
{% endfor %}
</table>
CSS Code
CSS 代码
table {
font-family: arial, sans-serif;
border-collapse: collapse;
width: 100%;
}
td, th {
border: 1px solid #dddddd;
text-align: left;
padding: 8px;
}
tr:nth-child(even) {
background-color: #dddddd;
}
It performs very well and it looks WAY better than the .to_htmloutput.
它表现得非常好，看起来比.to_html输出好得多。
回答by CSMaverick
# Declare table
class SomeTable(Table):
status = Col('Customer')
city = Col('City')
product_price = Col('Country')
# Convert the pandas Dataframe into dictionary structure
output_dict = output.to_dict(orient='records')
# Populate the table
table = SomeTable(output_dict)
return (table.__html__())
or as pandas return static HTML file you can render it as page using Flask
或者当熊猫返回静态 HTML 文件时，您可以使用 Flask 将其呈现为页面
@app.route('/<string:filename>/')
def render_static(filename):
return render_template('%s.html' % filename)
It's the Idea of how we can do it in Flask. Hope you can understand this and let me know if it's not helping!
这是我们如何在 Flask 中做到这一点的想法。希望你能理解这一点，如果它没有帮助，请告诉我！
Update:
更新：
import pandas as pd
df = pd.DataFrame({'col1': ['abc', 'def', 'tre'],
'col2': ['foo', 'bar', 'stuff']})
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return df.to_html(header="true", table_id="table")
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=True)
But I'd go with Flask HTML feature rather than DataFrame to HTML (due to styling)
但我会使用 Flask HTML 功能而不是 DataFrame 到 HTML（由于样式）
回答by Biarys
For me using Jinja's for loop
对于我使用 Jinja 的 for 循环
{% for table in tables %}
{{titles[loop.index]}}
{{ table|safe }}
{% endfor %}
didnt work as it simply printed each character 1 by 1. I simply had to use
没有用，因为它只是 1 个 1 地打印每个字符。我只需要使用
{{ table|safe }}
