python-scipyHow do I calculate the mode using Python Scipy Stats?
The mode of a dataset is the most frequently occurring value in the dataset. We can use the mode function from the scipy.stats module to calculate the mode of a dataset in Python.
Example code
from scipy.stats import mode
# Create a dataset
data = [1, 1, 2, 3, 3, 3, 4, 5, 5]
# Calculate the mode
mode(data)
Output example
ModeResult(mode=array([3]), count=array([3]))
The mode function returns a ModeResult object which contains two properties:
mode: an array containing the most frequent value in the datasetcount: an array containing the number of occurrences of the most frequent value
In the example above, the mode of the dataset is 3, which appears 3 times.
Helpful links
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How do I create a zero matrix using Python and Numpy?
- How do I use Scipy zeros in Python?
- How can I use Python Scipy to zoom in on an image?
- How can I use Python and Numpy to parse XML data?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I use Python Scipy to generate a PDF?
- How do I use Python and SciPy to create a tutorial PDF?
- How can I use Python and Numpy to zip files?
- How do I calculate the cross-correlation of two arrays using Python and NumPy?
See more codes...