# How to calculate 1st and 3rd quartiles?

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?

1. 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`

2. 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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