Python statistics.median_grouped() Method
Example
Calculate the median of grouped continuous data:
# Import statistics Library
import statistics
# Calculate the median of grouped continuous data
print(statistics.median_grouped([1,
2, 3, 4]))
print(statistics.median_grouped([1, 2, 3, 4, 5]))
print(statistics.median_grouped([1,
2, 3, 4], 2))
print(statistics.median_grouped([1, 2, 3, 4], 3))
print(statistics.median_grouped([1,
2, 3, 4], 5))
Try it Yourself »
Definition and Usage
The statistics.median_grouped() method calculates the median of
grouped continuous data, calculated as the 50th percentile.
This method treats the data points as continuous data and calculates the 50% percentile median by first finding the median range using specified interval width (default is 1), and then interpolating within that range using the position of the values from the data set that fall in that range.
Tip: The mathematical formula for Grouped Median is: GMedian = L + interval * (N / 2 - CF) / F.
- L = The lower limit of the median interval
- interval = The interval width
- N = The total number of data points
- CF = The number of data points below the median interval
- F = The number of data points in the median interval
Syntax
statistics.median_grouped(data, interval)
Parameter Values
| Parameter | Description |
|---|---|
| data | Required. The data values to be used (can be any sequence, list or iterator) |
| interval | Optional. The class interval. Default value is 1 |
Note: If data is empty, it returns a StatisticsError.
Technical Details
| Return Value: | A float value, representing the median of
grouped continuous data, calculated as the 50th percentile |
|---|---|
| Python Version: | 3.4 |
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