[英]How to split a column from a DataFrame?
I am trying to split a column from a Data frame.我正在尝试从数据框中拆分一列。 I know this can be easily achieved using str.split(), but when I split it should return 7 columns, but it only return the first column.
我知道这可以使用 str.split() 轻松实现,但是当我拆分时,它应该返回 7 列,但它只返回第一列。
This is the column I am trying to split:这是我试图拆分的列:
print(df1['Genres'])
0 ['Drama']
1 ['Crime', 'Drama']
2 ['Crime', 'Drama']
3 ['Action', 'Crime', 'Drama', 'Thriller']
4 ['Crime', 'Drama']
...
And this is my code so far:这是我到目前为止的代码:
df1 = pd.DataFrame(pd.read_csv('Dataset01.csv'))
df1['Genres'] = df1['Genres'].map(lambda x: x.lstrip("["))
df1['Genres'] = df1['Genres'].map(lambda x: x.rstrip("]"))
df1['Genres'] = df1['Genres'].str.replace("'", '')
df1['Genres'] = df1['Genres'].str.split(",", expand=True)
df1
I only get the column with the first values:我只得到具有第一个值的列:
print(df1['Genres'])
0 Drama
1 Crime
2 Crime
3 Action
4 Crime
...
This is how the DataFrame looks like after I run the code: DataFrame这是我运行代码后 DataFrame 的样子: DataFrame
As you can see it only returns one column如您所见,它只返回一列
Is there something else I can do to split the columns?我还能做些什么来拆分列吗? Or is there something I can do to fix that?
或者我可以做些什么来解决这个问题?
Thanks谢谢
Try with ast.literal_eval
then explode
尝试使用
ast.literal_eval
然后explode
import ast
df1['Genres'].map(ast.literal_eval).explode()
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.