[英]How to create a new column in a DataFrame and move select data from the first column to the new column
My dataframe is 860x1 and I want create a new column that shifts data from first column to the second.我的 dataframe 是 860x1,我想创建一个新列,将数据从第一列转移到第二列。
example:例子:
Lyrics
0. name
1. lyric
2. name
3. lyric
4. name
5. lyric
What I need is:我需要的是:
Lyrics Title
0. lyric name
1. lyric name
2. lyric name
3. lyric name
The odd index numbers are lyrics and even are names.奇数索引号是歌词,偶数是名称。 How can I move the names to a new column using pandas?如何使用 pandas 将名称移动到新列?
Use slice indexing to grab every second row with either 0 or 1 as the offset from the start:使用切片索引以 0 或 1 作为从开始的偏移量获取每隔一行:
df = pd.DataFrame()
df['Lyrics'] = lyrics.iloc[1::2].reset_index(drop=True)
df['Title'] = lyrics.iloc[0::2].reset_index(drop=True)
pd.DataFrame(df.to_numpy().reshape(-1,2))[[1,0]].rename(columns={1:"Lyrics", 0:"Title"})
a fun point:)一个有趣的点:)
1.81 ms ± 480
我的代码时间: 1.81 ms ± 480
2.66 ms ± 741 µs
BENY 的编码时间: 2.66 ms ± 741 µs
1.99 ms ± 578 µs
creanion 的编码时间: 1.99 ms ± 578 µs
run on data with 10,000 rows运行 10,000 行的数据
Let us try groupby
让我们试试groupby
out = pd.concat([y.reset_index(drop=True) for _ , y in df.groupby(df.index%2)['Lyrics']],axis=1,keys= ['Title','Lyrics'])
Out[49]:
Title Lyrics
0 name lyric
1 name lyric
2 name lyric
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