Extracting Specific Data
Tarea
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Your task here is to practice. You need to extract specific data on cars. Follow the algorithm:
- Using the
.between()method create the condition to extract data on cars where'Price'is between15 000(inclusive) and20 000(exclusive). - Using the
.between()method create the condition to extract data on cars where'Year'is between2015(exclusive) and2020(exclusive). - Using the
.isin()method create the condition to extract data on such values from'Fuel_type'column:'Plug-in Hybrid'and'Hybrid'(the values are stored in the variablefuel_types). - Unite three conditions using two and statements.
Solución
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
fuel_types = ['Plug-in Hybrid', 'Hybrid']
# Put the condition on the column 'Price'
condition_1 = data['Price'].between(15000, 20000, inclusive = 'left')
# Put the condition on the column 'Year'
condition_2 = data['Year'].between(2015, 2020, inclusive = 'neither')
# Put the condition on the column 'Fuel_type'
condition_3 = data['Fuel_type'].isin(fuel_types)
# Unite three conditions
data_extracted = data.loc[condition_1 & condition_2 & condition_3]
print(data_extracted.head())
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 3. Capítulo 4
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/cars.csv', index_col = 0)
fuel_types = ['Plug-in Hybrid', 'Hybrid']
# Put the condition on the column 'Price'
condition_1 = data['___'].___(___, 20000, inclusive = '___')
# Put the condition on the column 'Year'
condition_2 = ___['Year'].___(___, ___, inclusive = '___')
# Put the condition on the column 'Fuel_type'
condition_3 = data['Fuel_type'].___
# Unite three conditions
data_extracted = data.___[condition_1 ___ condition_2 ___ condition_3]
print(data_extracted.head())
