The `iloc` Property
The iloc property in Pandas allows us to access specific parts of a DataFrame using numerical positions.
You can use iloc to access:
- A single element;
- A single row;
- A single column;
- A range of rows;
- A range of columns;
- A range of rows and columns.
General Syntax
DataFrame.iloc[row_position, column_position]
You can also slice:
DataFrame.iloc[start_row:end_row, start_col:end_col]
Example
12345678910111213141516171819202122232425import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie', 'Daisy'], 'Age': [25, 30, 35, 28], 'City': ['New York', 'Paris', 'London', 'Berlin'] }) # Single element print('>> Single Element:\n', df.iloc[1, 2]) # Single row print('\n>> Single Row:\n', df.iloc[2]) # Single column print('\n>> Single Column:\n', df.iloc[:, 1]) # Range of rows print('\n>> Range of Rows:\n', df.iloc[1:3]) # Range of columns print('\n>> Range of Columns:\n', df.iloc[:, 0:2]) # Range of rows and columns print('\n>> Range of Rows & Columns:\n', df.iloc[1:3, 0:2])
Var allt tydligt?
Tack för dina kommentarer!
Avsnitt 3. Kapitel 10
Fråga AI
Fråga AI
Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal
Awesome!
Completion rate improved to 2.7The `iloc` Property
Svep för att visa menyn
The iloc property in Pandas allows us to access specific parts of a DataFrame using numerical positions.
You can use iloc to access:
- A single element;
- A single row;
- A single column;
- A range of rows;
- A range of columns;
- A range of rows and columns.
General Syntax
DataFrame.iloc[row_position, column_position]
You can also slice:
DataFrame.iloc[start_row:end_row, start_col:end_col]
Example
12345678910111213141516171819202122232425import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie', 'Daisy'], 'Age': [25, 30, 35, 28], 'City': ['New York', 'Paris', 'London', 'Berlin'] }) # Single element print('>> Single Element:\n', df.iloc[1, 2]) # Single row print('\n>> Single Row:\n', df.iloc[2]) # Single column print('\n>> Single Column:\n', df.iloc[:, 1]) # Range of rows print('\n>> Range of Rows:\n', df.iloc[1:3]) # Range of columns print('\n>> Range of Columns:\n', df.iloc[:, 0:2]) # Range of rows and columns print('\n>> Range of Rows & Columns:\n', df.iloc[1:3, 0:2])
Var allt tydligt?
Tack för dina kommentarer!
Avsnitt 3. Kapitel 10
