interactive_weather_plot.py
import matplotlib.pyplot as pltfrom matplotlib.widgets import RadioButtonsimport seabornseaborn.set_style("darkgrid")import requestsimport json# Define some Locations to choose from.# Latitude and Longitudelocations = { 'Schaffhausen': ['47.7', '8.6'], 'Sydney': ['-33.86', '151.20'], 'Kyiv': ['50.4422', '30.5367'], 'Constantine': ['36.368258', '6.560254'], 'Yakutsk': ['62.0', '129.7'],}# Setting Up Matplotlib, using the OOP Approachfig, ax = plt.subplots()# the plot is created with the first locationp = None# make a function to get the temperatures of a given locationdef getTemperatures(location): # get the lat and long of the location lat, lon = locations[location] req = requests.get(f'https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&hourly=temperature_2m') req = json.loads(req.text) # get the tempratures temperatures = req['hourly']['temperature_2m'] # get the times times = req['hourly']['time'] return times, temperatures# Make a dictionary with the locations as keys and the getTemperatures() function as valueslocation2data = {}for location in locations: location2data[location] = getTemperatures(location)def changeLocation(newLocation): global p # get the data of the location from the dictionary times, temperatures = location2data[newLocation] if p: p.set_ydata(temperatures) # reflect changes in the plot plt.draw() else: # Make a Plot and save the first object to a variable # p will be a Line2D object which can be changed at a later time p = ax.plot(times, temperatures, ls=':', lw=3)[0] # set the x-axis to the times xRange = list(range(0, 168, 24)) + [168] ax.set_xticks(xRange) # set the y-axis to the temperatures yRange = list(range(-20, 55, 5)) ax.set_yticks(yRange) plt.tick_params(axis="both", which='both', labelrotation=-10) # rotate the labels # set the title ax.set_title('Temperatures in ' + newLocation)# Call the change Location function for the first timechangeLocation('Schaffhausen')# Making the Radio Buttonsbuttons = RadioButtons( ax=plt.axes([0.1, 0.1, 0.2, 0.2]), labels=locations.keys())# Connect click event on the buttons to the function that changes location.buttons.on_clicked(changeLocation)# adjust the plot sizeplt.subplots_adjust(left=0.1, bottom=0.40)# Label the Plotax.set_xlabel('Times [Next Seven Days]')# ax.xaxis.label.set_color(labelColor)ax.set_ylabel('Temperatures [Celcius]')# ax.yaxis.label.set_color(labelColor)plt.savefig('file.svg', format='svg')plt.show()