[英]How to rewrite this code to list comprehension
I am trying to append string to each value in df. 我正在尝试将字符串附加到df中的每个值。 I'd like to improve speed of code (big df).
我想提高代码速度(大df)。 I tried to rewrite code and use list comprehension, but I am stuck.
我试图重写代码并使用列表理解,但是我被困住了。 Here is a snippet of my code:
这是我的代码片段:
beginning ='begin ' #word on the beginning of the column
c=list(df.columns) #list of all column in the dataframe
for i in c:
df[i] = beginning + df[i].astype(str)
Can Someone Help Me, Please? 有人能帮助我吗?
Just do string addition to dataframe. 只需将字符串添加到数据帧即可。
Here's an example dataframe with multiple columns of different types. 这是一个具有不同类型的多个列的示例数据框。
In [823]: df
Out[823]:
A B C D
0 A 1 2010-03-31 1.0
1 B 2 2010-04-01 2.0
2 C 3 2010-04-02 3.0
Convert to str
type and add string. 转换为
str
类型并添加字符串。
In [824]: 'begin ' + df.astype(str)
Out[824]:
A B C D
0 begin A begin 1 begin 2010-03-31 begin 1.0
1 begin B begin 2 begin 2010-04-01 begin 2.0
2 begin C begin 3 begin 2010-04-02 begin 3.0
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