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Commit1d88bb1

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add plotting weather temperature forecast using matplotlib tutorial
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‎README.md

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@@ -117,6 +117,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
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-[How to Replace Text in Docx Files in Python](https://www.thepythoncode.com/article/replace-text-in-docx-files-using-python). ([code](general/docx-file-replacer))
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-[How to Make a Text Adventure Game in Python](https://www.thepythoncode.com/article/make-a-text-adventure-game-with-python). ([code](general/text-adventure-game))
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-[Zipf's Word Frequency Plot with Python](https://www.thepythoncode.com/article/plot-zipfs-law-using-matplotlib-python). ([code](general/zipf-curve))
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-[How to Plot Weather Temperature in Python](https://www.thepythoncode.com/article/interactive-weather-plot-with-matplotlib-and-requests). ([code](general/interactive-weather-plot/))
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#[How to Plot Weather Temperature in Python](https://www.thepythoncode.com/article/interactive-weather-plot-with-matplotlib-and-requests)
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importmatplotlib.pyplotasplt
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frommatplotlib.widgetsimportRadioButtons
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importseaborn
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seaborn.set_style("darkgrid")
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importrequests
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importjson
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# Define some Locations to choose from.
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# Latitude and Longitude
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locations= {
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'Schaffhausen': ['47.7','8.6'],
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'Sydney': ['-33.86','151.20'],
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'Kyiv': ['50.4422','30.5367'],
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'Constantine': ['36.368258','6.560254'],
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'Yakutsk': ['62.0','129.7'],
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}
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# Setting Up Matplotlib, using the OOP Approach
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fig,ax=plt.subplots()
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# the plot is created with the first location
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p=None
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# make a function to get the temperatures of a given location
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defgetTemperatures(location):
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# get the lat and long of the location
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lat,lon=locations[location]
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req=requests.get(f'https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&hourly=temperature_2m')
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req=json.loads(req.text)
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# get the tempratures
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temperatures=req['hourly']['temperature_2m']
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# get the times
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times=req['hourly']['time']
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returntimes,temperatures
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# Make a dictionary with the locations as keys and the getTemperatures() function as values
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location2data= {}
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forlocationinlocations:
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location2data[location]=getTemperatures(location)
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defchangeLocation(newLocation):
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globalp
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# get the data of the location from the dictionary
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times,temperatures=location2data[newLocation]
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ifp:
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p.set_ydata(temperatures)
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# reflect changes in the plot
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plt.draw()
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else:
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# Make a Plot and save the first object to a variable
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# p will be a Line2D object which can be changed at a later time
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p=ax.plot(times,temperatures,ls=':',lw=3)[0]
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# set the x-axis to the times
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xRange=list(range(0,168,24))+ [168]
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ax.set_xticks(xRange)
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# set the y-axis to the temperatures
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yRange=list(range(-20,55,5))
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ax.set_yticks(yRange)
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plt.tick_params(axis="both",which='both',labelrotation=-10)# rotate the labels
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# set the title
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ax.set_title('Temperatures in '+newLocation)
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# Call the change Location function for the first time
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changeLocation('Schaffhausen')
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# Making the Radio Buttons
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buttons=RadioButtons(
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ax=plt.axes([0.1,0.1,0.2,0.2]),
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labels=locations.keys()
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)
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# Connect click event on the buttons to the function that changes location.
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buttons.on_clicked(changeLocation)
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# adjust the plot size
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plt.subplots_adjust(left=0.1,bottom=0.40)
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# Label the Plot
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ax.set_xlabel('Times [Next Seven Days]')
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# ax.xaxis.label.set_color(labelColor)
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ax.set_ylabel('Temperatures [Celcius]')
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# ax.yaxis.label.set_color(labelColor)
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plt.savefig('file.svg',format='svg')
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plt.show()
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matplotlib
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seaborn
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requests

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