Pandas DataFrame mode() Method
Example
Return the mode value for each column:
import pandas as pd
data = [[1, 1, 2], [6, 4, 2], [4, 2, 1], [4, 2,
3]]
df = pd.DataFrame(data)
print(df.mode())
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Definition and Usage
The mode() method returns the mode value of each column.
Mean, Median, and Mode:
- Mean - The average value
- Median - The mid point value
- Mode - The most common value
By specifying the column axis (axis='columns'), the
mode()
method searches column-wise and returns the mode value for each row.
Syntax
dataframe.mode(axis, numeric_only, dropna, kwargs)
Parameters
The axis,
numeric_only,
dropna parameters are
keyword arguments.
| Parameter | Value | Description |
|---|---|---|
| axis | 0 |
Optional, Which axis to check, default 0. |
| numeric_only | None |
Optional. Specify whether to only check numeric values. Default None |
| dropna | True |
Optional. Specify whether to drop NULL values or not. Default True |
Return Value
A DataFrame with the mode values.
This function does NOT make changes to the original DataFrame object.
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