How to use qcut() in Pandas

How to use qcut() in Pandas

In Python, the qcut() function is used to divide a series of values into equal-sized bins. This function is part of the pandas library, which is a popular library for data analysis and manipulation in Python.

Here is an example of how to use the qcut() function in Python:

import pandas as pd

# create a sample dataframe
df = pd.DataFrame({'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]})

# divide the values in column A into 3 equal-sized bins
binned = pd.qcut(df['A'], 3)

# display the result
print(binned)

0    (0.999, 4.0]
1    (0.999, 4.0]
2    (0.999, 4.0]
3    (0.999, 4.0]
4      (4.0, 7.0]
5      (4.0, 7.0]
6      (4.0, 7.0]
7     (7.0, 10.0]
8     (7.0, 10.0]
9     (7.0, 10.0]
Name: A, dtype: category
Categories (3, interval[float64, right]): [(0.999, 4.0] < (4.0, 7.0] < (7.0, 10.0]]

This code will divide the values in column A of the dataframe into 3 equal-sized bins.