Obtain Historical Weather Forecast data in CSV format using Python Recently, I worked on a machine learning project related to renewable energy, which required ****historical weather forecast data from multiple cities****. Despite intense research...
Obtain Historical Weather Forecast data in CSV format using Python
Recently, I worked on a machine learning project related to renewable energy, which required historical weather forecast data from multiple cities. Despite intense research, I had a hard time finding the good data source. Most websites restrict the access to only past two weeks of historical data. If you need more, you need to pay. In my case, I needed five years of data — hourly historical forecast, which can be costly.
1. Free — at least during trial period
No need to provide credit card info.
Flexible to change forecast interval, time periods, locations.
Easy to reproduce and implement in the production phase.
In the end, I decided to use data from World Weather Online. This took me less than two minutes to subscribe free trial premium API — without filling credit card info. (500 free requests/key/day for 60 days, as of 30-May-2019).
You can try out requests in JSON or XML format here. The result is nested JSON which needed a bit pre-processing work before feeding into ML models. Therefore, I wrote some scripts to parse them into pandas DataFrames and save as CSV for further use.
Input: api_key, location_list, start_date, end_date, frequency
Output column names: date_time, maxtempC, mintempC, totalSnow_cm, sunHour, uvIndex, uvIndex, moon_illumination, moonrise, moonset, sunrise, sunset, DewPointC, FeelsLikeC, HeatIndexC, WindChillC, WindGustKmph, cloudcover, humidity, precipMM, pressure, tempC, visibility, winddirDegree, windspeedKmph
pip install wwo-hist
# import the package and function from wwo_hist import retrieve_hist_data # set working directory to store output csv file(s) import os os.chdir(".\YOUR_PATH")
Specify input parameters and call retrieve_hist_data(). Please visit my github repo for more info about parameters setup.
This will retrieve 3-hour interval historical weather forecast data for Singapore and California from 11-Dec-2018 to 11-Mar-2019, save output into hist_weather_data variable and CSV files.frequency = 3
FREQUENCY = 3 START_DATE = '11-DEC-2018' END_DATE = '11-MAR-2019' API_KEY = 'YOUR_API_KEY' LOCATION_LIST = ['singapore','california'] hist_weather_data = retrieve_hist_data(API_KEY, LOCATION_LIST, START_DATE, END_DATE, FREQUENCY, location_label = False, export_csv = True, store_df = True)
This is what you will see in your console
Result CSV(s) exported to your working directory.
Check the CSV output.
There you have it! The script detailed is also documented on GitHub.
Thank you for reading
After analyzing clients and market requirements, TopDevelopers has come up with the list of the best Python service providers. These top-rated Python developers are widely appreciated for their professionalism in handling diverse projects. When...
After analyzing clients and market requirements, TopDevelopers has come up with the list of the best Python service providers. These top-rated Python developers are widely appreciated for their professionalism in handling diverse projects. When you look for the developer in hurry you may forget to take note of review and ratings of the company's aspects, but we at TopDevelopers have done a clear analysis of these top reviewed Python development companies listed here and have picked the best ones for you.
List of Best Python Web Development Companies & Expert Python Programmers.
Guide to Python Programming Language
The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.
The course is begin continuously developing by adding lectures regularly.
Please see the Promo and free sample video to get to know more.
Hope you will enjoy it.
An Enthusiast Mind
Basic Knowledge To Use Computer
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language
Python Programming Tutorials For Beginners
Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.
As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about
programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.
In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With
Lots of exercises and more fun stuff, let's get started.
Download free Exercise files.
Who is the target audience?
First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future