Pandas DataFrame nlargest() Method
Example
Return the 10 rows with the largest value for "Colories":
In this example we use a .csv file called data.csv
import pandas as pd
df = pd.read_csv('data.csv')
newdf =
df.nlargest(10, "Calories")
Try it Yourself »
Definition and Usage
The nlargest() method returns a specified
number of rows, starting at the top after sorting the DataFrame by the highest
value for a specified column.
Syntax
dataframe.nlargest(n, columns, keep)
Parameters
The keep parameter is a
keyword argument.
| Parameter | Value | Description |
|---|---|---|
| n | Required, a Number, specifying the number of rows to return | |
| columns | Optional, A String (column label), or a list of column labels, specifying the column(s) to order by | |
| keep | 'all' |
Optional, default 'last', specifying what to do with duplicate rows. |
Return Value
A DataFrame with Boolean values.
This method does not change the original DataFrame.
