熊猫-创建一个新列，并在另一列中填充观察值

Question

I have a DataFrame object df . One of the column values in df is ID There are many rows with the same ID.

I want to create a new columns num_totals that counts the number of observation for each ID. For example, something like this:

ID | Num Totals
1  |    3
1  |    3
1  |    3
2  |    2
2  |    2
3  |    3
3  |    3
3  |    3
4  |    1

What's the fastest way to do this in Pandas?

Answer 1

一个简单的groupby + transform将起作用：

df['num_totals'] = df.groupby('ID').transform('count')