Pandas DataFrame truncate() Method
Example
Remove the rows before position 3 and after position 5 of the DataFrame:
import pandas as pd
data = {
"age": [50, 40, 30, 40, 20,
10, 30],
"qualified": [True, False, False, False, False, True,
True]
}
df = pd.DataFrame(data)
newdf = df.truncate(before=3,
after=5)
print(newdf)
Try it Yourself »
Definition and Usage
The truncate() method removes elements
before and after the specified indexes or labels.
Use the axis='columns' parameter to remove
specified columns.
Syntax
dataframe.truncate(before, after, axis, copy)
Parameters
The index, columns,
axis,
copy,
inplace parameters are
keyword arguments.
| Parameter | Value | Description |
|---|---|---|
| before | Number Label Date |
Optional. Remove everything before this value |
| after | Number Label Date |
Optional. Remove everything after this value |
| axis | 0 |
Optional, default 0. The axis to truncate |
| copy | True |
Optional, default True. Specifies whether to return a copy of the DataFrame or not |
Return Value
A DataFrame with the result.
