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I was wondering if there might be a way to return my Flask app's response as an HTML table populated by the JSON response key value pairs instead of merely having the entire JSON string on the HTML page?
Below is the code that i have:
from flask import Flask
import json, pandas as pd
app = Flask(__name__)
@app.route("/GetData")
def GetData():
df = pd.read_csv("DemoData.csv")
temp = df.to_dict('records')
data = [dict(i) for i in temp]
return json.dumps(data, indent=4)
if __name__ == "__main__":
app.run(host='127.0.0.1', port=8000)
The code above gives the following response: (URL: "http://127.0.0.1:8000/GetData")
Now what i want is to get the response converted into a table upon entering the aforementioned URL kinda like the CSV file.
Here is a sample of my CSV file:
Employee Name,City,Country,Project Assigned Carl Elias,Passadena,USA,Optical Character Recognition Amanda Jean Spears,Denver,USA,Linux Kali Security Mods John Reese,Athens,Greece,Inertial Navigation System Leslie James,Heartfordshire,United Kingdom,Relay Transmission Optimisation Mods Patrick Sullivan,London,United Kingdom,Fraud Checking System Julia Reginald Roberts,Sao Paolo,Brazil,User Authentication System Michael Bucannan,San Franscisco,USA,Analytics Automation Tool Jeanine Fitzgerald,Ontario,Canada,CopyChecker Patricia Sullly,Shanghai,China,Automated Milling Tool
887
There are two methods you can use to return JSON data in your Flask application's view: by returning a Python dictionary, or by using Flask's jsonify() method.
Flask provides a method called make_response() that we can use to send custom headers, as well as change the property (like status_code , mimetype , etc.) in response. We can import make_response from the flask . make_response() accepts a string as a parameter, then creates and returns a response object.
You should write a template for it like Alex Hall said. It won't be hardcoded if you loop through column names. Firstly, you should import render_template.
from flask import Flask, render_template
Then, you need to change your request handler. This allows to render a template 'record.html' with injecting two variables, records and colnames.
@app.route("/GetData")
def GetData():
df = pd.read_csv("DemoData.csv")
temp = df.to_dict('records')
columnNames = df.columns.values
return render_template('record.html', records=temp, colnames=columnNames)
Check this rendering template guide. You need to create a new folder 'templates/', and you can find 'templates/record.html' below:
<table border="1">
<thead>
<tr>
{% for col in colnames %}
<th>{{ col }}</th>
{% endfor %}
</tr>
</thead>
<tbody>
{% for record in records %}
<tr>
{% for col in colnames %}
<td>{{ record[col] }}</td>
{% endfor %}
</tr>
{% endfor %}
</tbody>
</table>
To do this dynamically, firstly you should iterate through column names. As Alex Hall said, dict is not ordered so when iterating records, you should also iterate column names, so you can write them in right order.
164
A really simple hack is read data into a pandas dataframe first, then call .to_html:
import pandas as pd
from flask import Flask, render_template
@app.route("/table-page", methods=['GET'])
def table():
data_dic = {
'id': [100, 101, 102],
'color': ['red', 'blue', 'red']}
columns = ['id', 'color']
index = ['a', 'b', 'c']
df = pd.DataFrame(data_dic, columns=columns, index=index)
table = df.to_html(index=False)
return render_template(
"at-leaderboard.html",
table=table)
Then simply pop the HTML into your template:
<html>
<body>
<div>
{{ table | safe }}
</div>
</body>
</html>
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