TJNG-389 JAV , query 1d temperature and precipitation based on date, python code to query such data using pandas, To query 1D temperature and precipitation based on using Pand, you would typically follow these steps: 1. **Load the data**: Assuming your data is in a CSV file or some other format, you would load it into a DataFrame. 2. **Filter the data**: Filter the DataFrame based on the desired date. 3. **Get the data**: Get the value of the temperature and precipitation for that date. Here's a sample code to demonstrate this: ```python import pandas as pd # Load the data into a DataFrame data = pd.read_csv('weather_data.csv') # Convert the 'date' column to a datetime object if it's not already data['date'] = pd.to_datetime(data['date']) # Query the data for a specific date try query_date = pd.to_datetime('2017-01-01') data_to_query = data[data['date'] == query_date] # Get the temperature and precipitation values temperature = data_to_query['temperature'].values[0] precipitation = data_to_query['precipitation'].values[0] print(f"Temperature on {query_date}: {temperature}°C") print(f"Precipitation on {query_date}: {precipitation}mm") except IndexError: print("No data exists for this date") ``` Note: - Replace `'weather_data.csv'` with the actual name of your CSV file. - Adjust the columns names `'temperature'`, `'precipitation'`, and `'date'` according to your DataFrame. This code will print the temperature and precipitation for a specific date. If the data is not available for that date, it will tell you that. - Cuplikan Gratis dan Subtitle Bahasa Indonesia srt.

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