基于字符串的新行 - Pandas。 python
New rows based on a string - Pandas. python
我有这个 pandas df
show_id type title director cast
s1 Movie Duck the Halls Dave Wasson Chris Diamantopoulos, Tony Anselmo,
Tress MacNeille, Bill Farmer,
我需要能够将 'cast'' 字段分解为多行
示例:
show_id type title director cast
s1 Movie Duck the Halls Dave Wasson Chris Diamantopoulos
s1 Movie Duck the Halls Dave Wasson Tony Anselmo
s1 Movie Duck the Halls Dave Wasson Tress MacNeille
s1 Movie Duck the Halls Dave Wasson Bill Farmer
我知道我应该用pandas来做,但是很复杂,你能帮我吗?
你可以使用 spit and explode:
df['cast'] = df['cast'].str.split(',')
df.explode('cast')
您可以使用:
out = (df.drop(columns='cast')
.join(df['cast'].str.split(',')
.explode()
)
我有这个 pandas df
show_id type title director cast
s1 Movie Duck the Halls Dave Wasson Chris Diamantopoulos, Tony Anselmo,
Tress MacNeille, Bill Farmer,
我需要能够将 'cast'' 字段分解为多行 示例:
show_id type title director cast
s1 Movie Duck the Halls Dave Wasson Chris Diamantopoulos
s1 Movie Duck the Halls Dave Wasson Tony Anselmo
s1 Movie Duck the Halls Dave Wasson Tress MacNeille
s1 Movie Duck the Halls Dave Wasson Bill Farmer
我知道我应该用pandas来做,但是很复杂,你能帮我吗?
你可以使用 spit and explode:
df['cast'] = df['cast'].str.split(',')
df.explode('cast')
您可以使用:
out = (df.drop(columns='cast')
.join(df['cast'].str.split(',')
.explode()
)