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('q' to quit): plot temperature and humidity in paris and berlin over the past 4 days
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Model response ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
<thinking>
Let me break this down into steps:
1. I'll use the weather_report module to get weather data for both Paris and Berlin
2. I'll use matplotlib to create two subplots - one for temperature and one for humidity
3. I'll plot both cities' data on each subplot for comparison
4. I'll make sure to include proper labels, legend and show the plot
</thinking>
╭─ Code action ────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 1 importmatplotlib.pyplotasplt│
│ 2 fromweather.weather_reportimportget_weather_report│
│ 3 fromdatetimeimportdatetime│
│ 4 │
│ 5 # Get weather data│
│ 6 paris_data=get_weather_report("Paris",n_days=4)│
│ 7 berlin_data=get_weather_report("Berlin",n_days=4)│
│ 8 │
│ 9 # Create figure with two subplots│
│10 fig,(ax1,ax2)=plt.subplots(2,1,figsize=(12,8))│
│11 │
│12 # Prepare data for plotting│
│13 dates_paris=[h['date']forhinparis_data['history']]│
│14 temp_paris=[h['temperature']forhinparis_data['history']]│
│15 hum_paris=[h['humidity']forhinparis_data['history']]│
│16 │
│17 dates_berlin=[h['date']forhinberlin_data['history']]│
│18 temp_berlin=[h['temperature']forhinberlin_data['history']]│
│19 hum_berlin=[h['humidity']forhinberlin_data['history']]│
│20 │
│21 # Plot temperature│
│22 ax1.plot(dates_paris,temp_paris,'o-',label='Paris')│
│23 ax1.plot(dates_berlin,temp_berlin,'o-',label='Berlin')│
│24 ax1.set_ylabel('Temperature (°C)')│
│25 ax1.set_title('Temperature over the past 4 days')│
│26 ax1.grid(True)│
│27 ax1.legend()│
│28 │
│29 # Plot humidity│
│30 ax2.plot(dates_paris,hum_paris,'o-',label='Paris')│
│31 ax2.plot(dates_berlin,hum_berlin,'o-',label='Berlin')│
│32 ax2.set_ylabel('Relative Humidity (%)')│
│33 ax2.set_title('Humidity over the past 4 days')│
│34 ax2.grid(True)│
│35 ax2.legend()│
│36 │
│37 # Adjust layout and display│
│38 plt.tight_layout()│
│39 plt.show()│
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Execution result ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
<Figure size 1200x800 with 2 Axes>
Produced images:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Model response ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I've created a visualization comparing the temperature and humidity data for Paris and Berlin over the past 4 days. The
graph shows:
1. Temperature plot (top):
- Shows daily average temperatures in °C for both cities
- Both cities' temperature trends are plotted with different colors and markers
- Includes a grid for easier reading and a legend to distinguish between cities
2. Humidity plot (bottom):
- Shows daily average relative humidity in percentage for both cities
- Both cities' humidity trends are plotted with different colors and markers
- Includes a grid for easier reading and a legend to distinguish between cities
You can see the trends for both cities clearly plotted over time, making it easy to compare their weather patterns over
the past 4 days.
╭─ Produced images ────────────────────────────────────────────────────────────────────────────────────────────────────╮
│workspace/images/example/23e35d56.png│
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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('q' to quit): q