Code Explanation:
1. Importing Libraries
from scipy import stats
import numpy as np
numpy is used for creating and manipulating arrays.
scipy.stats provides statistical functions — like mean, median, and mode.
2. Defining Data
data = np.array([1, 2, 2, 3, 4, 4, 4, 5])
This is your sample data array. It contains repeated values. Let’s look at the frequencies:
Value Frequency
1 1
2 2
3 1
4 3
5 1
3. Calculating Mode
mode = stats.mode(data, keepdims=True)
stats.mode() returns the most frequent value in the array (i.e., the mode).
keepdims=True keeps the output in the same dimensional structure (as an array).
As seen above, 4 appears most frequently (3 times), so the mode is 4.
The mode object is a ModeResult, which has:
.mode → the value(s) that appear most frequently
.count → the count(s) of how often the mode appears
4. Printing the Mode
print(mode.mode)
Final Output:
[4]
Because keepdims=True, the result is still a NumPy array — hence [4] instead of just 4.
0 Comments:
Post a Comment