quantile in pandas in python

Pandas provides the quantile method to compute the quantiles of a Series or DataFrame. The quantile method takes a single argument that specifies the quantile to compute as a decimal (e.g., 0.5 for the median, 0.25 for the first quartile). Here's an example:

main.py
import pandas as pd

# create a DataFrame
data = {'col1': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
df = pd.DataFrame(data)

# compute the median (quantile of 0.5)
median = df['col1'].quantile(0.5)
print(median)

# compute the first quartile (quantile of 0.25)
first_quartile = df['col1'].quantile(0.25)
print(first_quartile)

# compute the third quartile (quantile of 0.75)
third_quartile = df['col1'].quantile(0.75)
print(third_quartile)
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This example creates a DataFrame with a single column, col1, and then computes the median, first quartile, and third quartile of that column using the quantile method. The results are printed to the console.