pandas.DataFrame.loces una función utilizada para seleccionar filas de Pandas DataFrame según la condición proporcionada. En este artículo, aprendamos a seleccionar las filas de Pandas DataFrame según algunas condiciones.
Sintaxis: df.loc[df[‘cname’] ‘condición’]
Parámetros:
df: representa el marco de datos
cname: representa el nombre de la columna
condition: representa la condición en la que se deben seleccionar las filas
Ejemplo 1:
# Importing pandas as pd
from pandas import DataFrame
# Creating a data frame
cart = {'Product': ['Mobile', 'AC', 'Laptop', 'TV', 'Football'],
'Type': ['Electronic', 'HomeAppliances', 'Electronic',
'HomeAppliances', 'Sports'],
'Price': [10000, 35000, 50000, 30000, 799]
}
df = DataFrame(cart, columns = ['Product', 'Type', 'Price'])
# Print original data frame
print("Original data frame:\n")
print(df)
# Selecting the product of Electronic Type
select_prod = df.loc[df['Type'] == 'Electronic']
print("\n")
# Print selected rows based on the condition
print("Selecting rows:\n")
print (select_prod)
Salida: 
Ejemplo 2:
# Importing pandas as pd
from pandas import DataFrame
# Creating a data frame
cart = {'Product': ['Mobile', 'AC', 'Laptop', 'TV', 'Football'],
'Type': ['Electronic', 'HomeAppliances', 'Electronic',
'HomeAppliances', 'Sports'],
'Price': [10000, 35000, 50000, 30000, 799]
}
df = DataFrame(cart, columns = ['Product', 'Type', 'Price'])
# Print original data frame
print("Original data frame:\n")
print(df)
# Selecting the product of HomeAppliances Type
select_prod = df.loc[df['Type'] == 'HomeAppliances']
print("\n")
# Print selected rows based on the condition
print("Selecting rows:\n")
print (select_prod)
Salida: 
Ejemplo 3:
# Importing pandas as pd
from pandas import DataFrame
# Creating a data frame
cart = {'Product': ['Mobile', 'AC', 'Laptop', 'TV', 'Football'],
'Type': ['Electronic', 'HomeAppliances', 'Electronic',
'HomeAppliances', 'Sports'],
'Price': [10000, 35000, 50000, 30000, 799]
}
df = DataFrame(cart, columns = ['Product', 'Type', 'Price'])
# Print original data frame
print("Original data frame:\n")
print(df)
# Selecting the product of Price greater
# than or equal to 25000
select_prod = df.loc[df['Price'] >= 25000]
print("\n")
# Print selected rows based on the condition
print("Selecting rows:\n")
print (select_prod)
Salida: 
Ejemplo 4:
# Importing pandas as pd
from pandas import DataFrame
# Creating a data frame
cart = {'Product': ['Mobile', 'AC', 'Laptop', 'TV', 'Football'],
'Type': ['Electronic', 'HomeAppliances', 'Electronic',
'HomeAppliances', 'Sports'],
'Price': [10000, 35000, 30000, 30000, 799]
}
df = DataFrame(cart, columns = ['Product', 'Type', 'Price'])
# Print original data frame
print("Original data frame:\n")
print(df)
# Selecting the product of Price not
# equal to 30000
select_prod = df.loc[df['Price'] != 30000]
print("\n")
# Print selected rows based on the condition
print("Selecting rows:\n")
print (select_prod)
Producción:
Publicación traducida automáticamente
Artículo escrito por utkarsh_kumar y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA