HODV-21384 JAV Komunitas Stoka Rep Menargetkan Sakuranomiya Suqra - Cuplikan Gratis dan Subtitle Bahasa Indonesia srt.

SKSK-004 Yuna Ishikawa: Inspirasi yang Menggerakkan Hati

7 Jun 2019

PPT-078 Menelusuri Jejak Mirano Mizushima dalam 'Mizushima Mirano: Kumpulan Karya Langka yang Belum Pernah Dirilis, Edisi Abadi'

7 Jun 2019

HODV-21388 Saya akan menunjukkan semua keindahan lokal dan budaya Jepang yang mungkin belum Anda ketahui.

7 Jun 2019

DW-195 Penuh Makna dan Penuh Hormat: えみ

8 Jun 2019

DW-194 Keindahan Salju yang Menyejukkan

8 Jun 2019

OREC-352 Yuiri sedang menikmati hari yang tenang di rumah.

8 Jun 2019

DW-193 Kana 2

8 Jun 2019

OREC-345 Judul: "Keindahan Warna Biru yang Membawa Kedamaian."

8 Jun 2019

HAMENETS-200 Selamat Pagi yang Penuh Kedamaian

8 Jun 2019

TJNG-389 , 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.

8 Jun 2019