[英]Pandas filling blanks
Python 3.9 and Pandas 1.3.4 Python 3.9 和 Pandas 1.3.4
So here's the df:所以这里是df:
1 First name Last Name
2 Freddie Mercury
3 John Lennon
4 David Bowie
5
6 Joseph
7 Jovi
I'm trying to fill the blank line (5) with "John Doe" when I concat First name
and Last name
but I do not want to put a "John Doe" in line 6 or 7 as it has a partial name.当我连接First name
和Last name
时,我试图用“John Doe”填充空白行 (5),但我不想在第 6 行或第 7 行放置“John Doe”,因为它有部分名称。
So this is my current code:所以这是我当前的代码:
import pandas as pd
df = pd.read_csv('file.csv', dtype=str, header=0)
df['First name'] = df['First name'].str.replace(' ', 'John Doe', regex=True)
df['Last name'] = df['Last name'].str.replace(' ', 'John Doe', regex=True)
df['fullname'] = df['First name'].fillna(" ") + " " + df["Last name"].fillna(" ")
df.to_csv('file.csv', index=False)
This currently produces a fullname
column which looks like:这当前会生成一个fullname
,如下所示:
fullname
Freddie Mercury
John Lennon
David Bowie
Joseph
Jovi
This is what I want:这就是我要的:
Freddie Mercury
John Lennon
David Bowie
John Doe
Joseph
Jovi
Try:尝试:
df['fullname'] = (df[['First name', 'Last Name']]
.fillna('').agg(' '.join, axis=1) # replace nan with '' and concatenate
.str.strip() # remove leading/trailing spaces
.replace('', 'John Doe') # replace empty name with default
)
Output: Output:
First name Last Name fullname
0 Freddie Mercury Freddie Mercury
1 John Lennon John Lennon
2 David Bowie David Bowie
3 None None John Doe
4 Joseph None Joseph
5 NaN Jovi Jovi
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