We Keep Coding

How do you create a new line in f-strings?

I'm trying to create new lines using python for the variable "profile" using the 'new_line' variable, but I haven't been successful.
The code below does not produce errors. It gives me all 3 strings in one line and I'd like to get 3 lines.
I would like the output to look like this with a new line for each string.
response: response
Lat/Lon: 1293.2312,123123.432
City: New York"
from flask import Flask
from flask import jsonify
import requests
import json
import os
app = Flask(__name__)
#app.route('/change/')
def he():
API_KEY = "API_KEY"
CITY_NAME = "oakland"
url = f"http://api.openweathermap.org/data/2.5/weather?q={CITY_NAME}&appid={API_KEY}"
response = requests.get(url).json()
new_line='\n'
profile = (
f"response: {response} ============== {new_line}"
f"Lat/Lon: {response['coord']} ========={new_line}"
f"City: {CITY_NAME}========{new_line}"
)
return profile

Try new_line='</br>'.
If you're viewing it in browser, it may interpret the page as badly formatted HTML and ignore line breaks and whitespaces, therefore you will need to use tags for that.

how to get response message when user enters the text using flask?

I created a chatbot using for loop.In browser it is not giving response when user enters the text.
I tried like below:
app.py:
import flask
from flask import Flask, render_template, request
from werkzeug.wrappers import Request, Response
import pandas as pd
import re
#####***** Reading the data
data=pd.read_excel("path",sheet_name='Sheet2')
#######**** Converting columns to a lists
userList=data["User"].tolist()
cbList=data["CB"].tolist()
app = Flask(__name__)
##########***** asking user to enter their questions and giving responses
bot_response=[]
for i in range(0,len(userList)):
user=input("User:")
if user=='':
print("Bye")
break
userReg=re.sub('[^A-Za-z0-9]'," ",user.lower())
userRegSplit=(userReg.split())
ud=str(userList[i]).lower()
ud=re.sub('[^A-Za-z0-9]'," ",ud)
newList=ud.split()
commonWords=[x for x in newList if x in userRegSplit]
if len(commonWords)==len(newList):
bot_response.append(cbList[i])
print(bot_response)
#app.route('/')
def CBApp():
return render_template('CBApp.html')
#app.route("/get")
def get_bot_response():
userText = request.args.get('msg')
return str(bot_response.get_response(userText))
if __name__=='__main__':
from werkzeug.serving import run_simple
app.debug=True
run_simple('localhost',port,app)
html template will look like below:
[1]: https://i.stack.imgur.com/rY4tW.png
suggest me where am gone wrong?

Parse result into JSON using Python and Flask

Now, I managed to successfully pull basic information from my smart device onto the terminal using pyHS100 on python (v3.6) using the following code
from pyHS100 import SmartPlug
from pprint import pformat as pf
plug = SmartPlug("10.xxx.xxx.xxx")
print("Hardware: %s" % pf(plug.hw_info))
which results in the following:
but I can't parse the data into json format and display it on the local server for my RESTful API purpose if I done it this way:
from flask import Flask, jsonify
from flask_restful import Resource, Api
from pyHS100 import SmartPlug
app = Flask(__name__)
#app.route('/api')
def get():
plug = SmartPlug("10.xxx.xxx.xxx")
sys = plug.hw_info
return jsonify({'data':sys})
if __name__ == '__main__':
app.run(host='0.0.0.0')
app.run(debug=True)
All I need is for the information to be presented into something like this:
What did I do wrong and how do I this fix? Thanks

I believe the best way to solving this is by using json.dumps

Creating a pandas dataframe from a JSON request

I am trying to create a machine Learning application with Flask. I have created a POST API route that will take the data and transform it into a pandas dataframe. Here is the Flask code that calls the python function to transform the data.
from flask import Flask, abort, request
import json
import mlFlask as ml
import pandas as pd
app = Flask(__name__)
#app.route('/test', methods=['POST'])
def test():
if not request.json:
abort(400)
print type(request.json)
result = ml.classification(request.json)
return json.dumps(result)
This is the file that contains the helper function.
def jsonToDataFrame(data):
print type(data)
df = pd.DataFrame.from_dict(data,orient='columns')
But I am getting an import error. Also, when I print the type of data is dict so I don't know why it would cause an issue. It works when I orient the dataframe based on index but it doesn't work based on column.
ValueError: If using all scalar values, you must pass an index
Here is the body of the request in JSON format.
{
"updatedDate":"2012-09-30T23:51:45.778Z",
"createdDate":"2012-09-30T23:51:45.778Z",
"date":"2012-06-30T00:00:00.000Z",
"name":"Mad Max",
"Type":"SBC",
"Org":"Private",
"month":"Feb"
}
What am I doing wrong here ?

Transforming JSON string to Pandas DataFrame in Flask

I'm parsing JSON data in Flask from POST request. Everything seems to be fine and works ok:
from flask import Flask
from flask import request
import io
import json
import pandas as pd
app = Flask(__name__)
#app.route('/postjson', methods = ['POST'])
def postJsonHandler():
print (request.is_json)
content = request.get_json()
df = pd.io.json.json_normalize(content)
print (df)
return 'JSON posted'
app.run(host='0.0.0.0', port= 8090)
The output looks like this:
True
columns data
0 [Days, Orders] [[10/1/16, 284], [10/2/16, 633], [10/3/16, 532...
Then I try to transform json to pandas dataframe using json_normalize() function. So I receiving the result close to pandas dataframe but it is not yet it.
What changes in the code should I do to receive classical Pandas Dataframe format with columns and data inside.
Thanks in advance.

Solved the problem. The idea was to use parameters of the json_normalize() function something like that:
df = pd.io.json.json_normalize(content, 'data')