World_Weather_Analysis

Find the best cities to vacation using weather using weather map API and mapbox.

Part 1: Get the Weather Description and Amount of Precipitation for Each City

• We used numpy random function to get 1500 latitude and longitude upper and lower limit was defied by latitude and longitudes uppper and lower limit.
• After getting valuesw for latitude and longitude used WeatherMapAPI request using API key to get the information about the cities for latitude and logitude created in above step.
• Saved above created DataFram into WeatherPy_database.csv.

Part 2: Have Customers Narrow Their Travel Searches Based on Temperature and Precipitation

• Got the information from WeatherPy_database.csv and converted into DataFrame
• Asked cutomer for information to narrow down the search like: min temp, max temp, raning , snowing etc. From customer input created new data frame.
• Used above dataframe information and google map API to locate hotels and created hotel dataframe also saved data into csv.
• Using new information and info box created gmaps marker layer which showd popups for hotels.

Part 3: Create a Travel Itinerary with a Corresponding Map

• Used information created for hotels in part 2's csv and asked customer to input 4 destination cities.
• Collected information for latitude and longitude for input cities using panadas datatframe.
• Created gmaps directions layer using DRIVING option.
• Added all those four cities information into one dataframe and created marker layer gmap with popups for hotels.