Pandas DataFrame iloc Property
Example
Return the the value of the second [1] row of the first [0] column:
import pandas as pd
data =
[[50, True], [40, False], [30, False]]
df = pd.DataFrame(data)
print(df.iloc[1,
0])
Try it Yourself »
Definition and Usage
The iloc property gets, or sets, the value(s) of
the specified indexes.
Specify both row and column with an index.
To access more than one row, use double brackets and specify the indexes, separated by commas:
df.iloc[[0, 2]]
Specify columns by including their indexes in another list:
df.iloc[[0, 2], [0, 1]]
You can also specify a slice of the DataFrame with from and to indexes, separated by a colon:
df.iloc[0:2]
Note: When slicing, the to index is excluded from the result.
Syntax
dataframe.iloc[row, column]
Parameters
| Parameter | Description |
|---|---|
| row | Optional. A number, or numbers specifying the index of the row(s)
|
| column | Optional. A number, or numbers, specifying the index of the column(s)
|
Return Value
Depends on the input:
Single indexes for both row and column [1, 0] returns the content of that cell.
Single index for one row [1] returns a
Pandas Series.
A list of indexes [[0, 2]] returns a
Pandas DataFrame.
