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...
Comments
Post a Comment