Python danna yaluwangen help ekak oni

[Hachiko15]

contains hourly weather observations

The file named : weather_2021-12.csv

| Abbreviation | Meaning |
| --- | --- |
| TA | Temperature Average |
| RH | Relative Humidity |
| WS | Wind Speed |
| WD | Wind Direction |
| PRA | Precipitation Amount |
| PRI | Precipitation Intensity |
| PA | Pressure Average |
| WAWA | Most Significant Weather Code |

Calculate the average relative humidity over the full timespan covered in the data, dropping any NaN values.

Please also write a separate report (Jupyter notebook) about solving Exercise


Yaluwane mata meka Python (Jupyter notebook) wlain karagnna help ekak denwada? python danna yaluwo innawanm

 

[samsri]

bump

 

[Hachiko15]

bump

thanks bro

 

[හෙළයෙක්]

Gemini ට කියපන් මචං. වැඩේ ඉක්මනට කරගන්න පුළුවන්

 

[Hachiko15]

Gemini ට කියපන් මචං. වැඩේ ඉක්මනට කරගන්න පුළුවන්

Thanks bro try ekak dennam

---

import pandas as pd
   
    data = pd.read_csv(r'C:\Users\Dataset\weather_2021-12.csv')
   
    relative_humidity_data = data[data["ParameterName"] == "RH_PT1H_AVG"]
   
    average_relative_humidity = relative_humidity_data["ParameterValue"].mean()
   
    print("The average relative humidity is:", average_relative_humidity)

meka harida result eka The average relative humidity is: 88.32212885154061
------ Post added on Feb 20, 2024 at 12:05 PM

 

[chamoda4lk]

The code above is correct. This non-Pandas version returns the same answer.

from csv import DictReader

with open("weather_2021-12.csv") as f:
    reader = DictReader(f)
    relative_humidity_values = [
        float(row["ParameterValue"]) for row in reader
        if row["ParameterName"] == "RH_PT1H_AVG" and row["ParameterValue"] != "NaN"
    ]
    average_relative_humidity = sum(relative_humidity_values) / len(relative_humidity_values)
    print(average_relative_humidity)

 

[EKGuest]

meka harida result eka The average relative humidity is: 88.32212885154061

ඔය උත්තරේ හරි මම C# වලින් කරලා බැලුවා උත්තරේ එන්නේ 88.32212885154061624649859944

 

[Hachiko15]

ඔය උත්තරේ හරි මම C# වලින් කරලා බැලුවා උත්තරේ එන්නේ 88.32212885154061624649859944

Thanks bro

---

The code above is correct. This non-Pandas version returns the same answer.

from csv import DictReader

with open("weather_2021-12.csv") as f:
    reader = DictReader(f)
    relative_humidity_values = [
        float(row["ParameterValue"]) for row in reader
        if row["ParameterName"] == "RH_PT1H_AVG" and row["ParameterValue"] != "NaN"
    ]
    average_relative_humidity = sum(relative_humidity_values) / len(relative_humidity_values)
    print(average_relative_humidity)

Thanks bro
------ Post added on Feb 20, 2024 at 1:44 PM