qart | Qart generates not-so-ugly qr codes | QRCode Processing library
kandi X-RAY | qart Summary
kandi X-RAY | qart Summary
Instead of scribbling on redundant pieces and relying on error correction to preserve the meaning, qart engineers the encoded values to create the picture in a code with no inherent errors.
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Top functions reviewed by kandi - BETA
- lplan builds a Plan .
- vplan creates a Plan for the given version .
- ResizeNRGBA returns a new image . RGBA with width w h and h h h .
- ResizeRGBA resizes m to another image .
- fplan formats a Plan .
- InitImage initializes an image .
- Encode returns the code for the given text .
- convert2PNG converts an image . Image to PNG .
- NewField creates a Field .
- posBox adds a box to m .
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QUESTION
Lisbon city has open data, regarding several parameters, of sensors around the city. The JSON query is the following
http://opendata-cml.qart.pt/measurements/RULAEQ0001?startDate=202104010000&endDate=202108310000
This will return the registered noise levels RULAEQ
for station 0001
between the those dates expressed in YYYYMMDDHHMM
There are 80 monitoring stations across the city and I would like to get the data for each one of them. The stations are numbered from 0001 to 0080.
What is the best way to automate this process in python?
Thank you in advance.
Note 1: I have the code working for one single query
...ANSWER
Answered 2021-Nov-04 at 13:58# -*- coding: utf-8 -*-
# Import libraries
import pandas as pd
import urllib.request, json
from flatten_json import flatten
for station in list(range(1, 80)):
# Query URL
url = f'http://opendata-cml.qart.pt/measurements/RULAEQ{str(station).zfill(4)}?startDate=202104010000&endDate=202108310000'
print(station)
# Read JSON from URL and decode
with urllib.request.urlopen(url) as url:
data = json.loads(url.read().decode())
# Flatten JSON data
data_flattened = [flatten(d) for d in data]
# Create dataframe
df = pd.DataFrame(data_flattened)
# Print Dataframe
print(df)
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