citypy
There are 1 repository under citypy topic.
neha-nayeem / python-api-challenge
This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an ideal weather condition and find the nearest hotel.
Language:Jupyter Notebook 3bigbluey / Whats-the-Weather-Like
Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities
Language:Jupyter Notebook 2kiranrangaraj / Impact-of-Latitude-on-Weather-Analysis
Python-based NumPy & SciPy Statistical Analysis of Latitude Position vs Weather Performed on a 500+ City Data Set Created by Python CityPy & OpenWeatherMap API Representative of Weather Worldwide
Language:Jupyter Notebook 1LeonardoAleix0 / World_Weather_Analysis
Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.
Language:Jupyter Notebook 1mserobabina / Python_APIs
Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed using OpenWeatherMap API and Citypy module.
Language:Jupyter Notebook 1OxanaDrotieva / World-Weather-Analysis
Using OpenWeatherMap API, retrieve the JSON weather data from different cities. Using Matplotlib, create a series of scatter plots showing relationship between the latitude and a variety of weather parameters for over 1500 cities around the world. Perform statistical calculations on the weather parameters using linear regression to predict future weather in chosen cities.
Language:Jupyter Notebook 1- World_Weather_Analysis
Robertfnicholson / World_Weather_Analysis
I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Panda’s dataframe. From there I used Matplotlib to create a series of scatter plots to show the relationship between the latitude and a variety of weather parameters . Completed a series of statistical calculations on the data using linear regression on the weather parameters. This data helped my team predict the best time of the year for people to plan their vacation. Finally, I exported the data, cleaned it and used the weather data to choose the best cities for a vacation based on certain weather criteria and then mapped these cities using Jupyter G Maps and the Google Places API.
Language:Jupyter Notebook 1 shargr2 / OpenWeatherMap-API-Analysis-Project
This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.
Language:Jupyter Notebook 1utsavchaudharygithub / World_Weather_Analysis
API and Weather Data visualization: Data Visualization based on weather data, vacation itinerary and vacation search
Language:Jupyter Notebook 1- Language:Jupyter Notebook 0
bhavinidata / API-Challenge
"What's the weather like as we approach the equator?"
Language:Jupyter Notebook 0hanyang2019 / Weather_API
Python API Requests & JSON Visualizing the Weather of 500+ Cities Around the World
Language:HTML 0maximizo / GMAPS-API-Weather-Visualization
Visualizing weather and Gmaps locations using a live API
Language:Jupyter Notebook 0nikoelvambuena95 / Public-APIs-Hotel-Weather
Maps visualizing relationship between weather data and hotel locations
Language:Jupyter Notebook 0RUBALBHULLAR / Whats-the-Weather-Like
Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities using OpenWeatherMap API
Language:Jupyter Notebook 0smunsell07 / World_Weather_Analysis
Top vacation cities are analyzed using data from Open Weather API. It is then visualized using Google Maps API.
Language:Jupyter Notebook 0amylio / World_Weather_Analysis
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Language:Jupyter NotebookWeather Analysis as approaching to equator.
Language:Jupyter Notebook- Language:Jupyter Notebook
DylanSteinhauer / World-Weather-Analysis
Use APIs to visualize weather data
Language:Jupyter NotebookfarhadOmidvar / WeatherPy
Analysis & graphic visualization of the weather of 500+ cities across the world.
Language:Jupyter NotebookGR8505 / World_Weather_Analysis
Using Google Cloud API to highlight potential vacation destinations.
Language:Jupyter NotebookKarla-Flores / Python-API
This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.
Language:Jupyter Notebookmadinalikes / World_Weather_Analysis
This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
Mona-Arami / WeatherPy
Analysis & graphic visualization of the weather of 500+ cities across the world.
Language:Jupyter Notebookmunno88 / WeatherPy
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Language:Jupyter NotebookPiterbrito / Dashboard--CurrentWeather-Report
Dashboard with Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed.
Language:HTMLremco-mooij / weather-model-world-cities
Dashboard that contains visualizations of weather data from approximately 500 cities around the world.
Language:Jupyter Notebooksainigagandeep / World-Weather-Analysis
The purpose of this project is to collect, analyze and visualize weather data across cities worldwide and to provide travelers with a tool that will allow them to determine their travel destination based on weather conditions.
Language:Jupyter Notebooksid83 / WeatherVisualization_Python
This is a python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
Language:Jupyter Notebookzunicd / Weather-Model
Analyzing weather patterns with respect to latitude.
Language:Jupyter Notebook
