Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about **How to calculate 1st and 3rd quartiles** **in Python**. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

## How to calculate 1st and 3rd quartiles?

**How to calculate 1st and 3rd quartiles?**By using

`pandas`

:`df.time_diff.quantile([0.25,0.5,0.75]) Out[793]: 0.25 0.483333 0.50 0.500000 0.75 0.516667 Name: time_diff, dtype: float64`

**calculate 1st and 3rd quartiles**By using

`pandas`

:`df.time_diff.quantile([0.25,0.5,0.75]) Out[793]: 0.25 0.483333 0.50 0.500000 0.75 0.516667 Name: time_diff, dtype: float64`

## Method 1

By using `pandas`

:

df.time_diff.quantile([0.25,0.5,0.75]) Out[793]: 0.25 0.483333 0.50 0.500000 0.75 0.516667 Name: time_diff, dtype: float64

## Method 2

You can use `np.percentile`

to calculate quartiles (including the median):

>>> np.percentile(df.time_diff, 25) # Q1 0.48333300000000001 >>> np.percentile(df.time_diff, 50) # median 0.5 >>> np.percentile(df.time_diff, 75) # Q3 0.51666699999999999

Or all at once:

>>> np.percentile(df.time_diff, [25, 50, 75]) array([ 0.483333, 0.5 , 0.516667])

**Summery**

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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