Python Wheather Lab Work

 


import pandas as pd 

weather_data= { 

    'day':['4/05/2022', '4/04 /2023', '10/02/2011', '30/09/2021', '9/10/2001','13/05/2019'],

    'temp':['20','30','45','39','25','51'],

    'windspeed':['7','3','5','9'], 

    'event':['rain', 'sunny', 'Litt cloudy', 'cloudy', 'sunny', 'windy'],

    }

df= pd.DataFrame(weather_data)

rows, columns= df.shape

df.tail(2) 

df[2:5]

df.columns 

df['day'] 

df[['day' 'event']] 

df['temp'].max() 

df['temp'].mean() 

df['temp'].min() 

df['temp'].std() 

df.describe() 

df['temp']=df['temp'].astype(int) 

df[df['temp']>32]

df[df.tempdf.temp.max()] 

df[['day', 'temp']][df.tempdf.temp.max()] 

#df-index() 

df.set_index("day", inplace=True) 

df.loc['4/04/2023'] 

df.reset_index(inplace=True)



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