Coding Ref

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:

main.py

```
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)
```

output

```
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.

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