Python statistics.mode() Method
Example
Calculate the mode (central tendency) of the given data:
# Import statistics Library
import statistics
# Calculate
the mode
print(statistics.mode([1, 3,
3, 3, 5, 7, 7 9, 11]))
print(statistics.mode([1, 1, 3, -5, 7, -9, 11]))
print(statistics.mode(['red',
'green', 'blue', 'red']))
Try it Yourself »
Definition and Usage
The statistics.mode() method calculates the mode (central tendency) of the given numeric or nominal data set.
Syntax
statistics.mode(data)
Parameter Values
| Parameter | Description |
|---|---|
| data | Required. The data values to be used (can be any sequence, list or iterator) |
Note: If data is empty, it returns a StatisticsError.
Technical Details
| Return Value: | A float or nominal value, representing the mode
of the given data |
|---|---|
| Python Version: | 3.4 |
| Change Log: | 3.8: Now handles multimodal datasets (will return the first mode encountered) |
