You can use the following basic syntax to group rows by 5-minute intervals in a pandas DataFrame:

df.resample('5min').sum()

This particular formula assumes that the index of your DataFrame contains datetime values and it calculates the sum of every column in the DataFrame, grouped by 5-minute intervals.

The following example shows how to use this syntax in practice.

**Related:** An Introduction to resample() in pandas

**Example: How to Group by 5-Minute Intervals in Pandas**

Suppose we have the following pandas DataFrame that shows the sales made by some company on various dates and times:

**import pandas as pd
#create DataFrame
df = pd.DataFrame({'date': pd.date_range(start='1/1/2020', freq='min', periods=12),
'sales': [6, 8, 9, 11, 13, 8, 8, 15, 22, 9, 8, 4],
'returns': [0, 3, 2, 2, 1, 3, 2, 4, 1, 5, 3, 2]})
#set 'date' column as index
df = df.set_index('date')
#view DataFrame
print(df)
sales returns
date
2020-01-01 00:00:00 6 0
2020-01-01 00:01:00 8 3
2020-01-01 00:02:00 9 2
2020-01-01 00:03:00 11 2
2020-01-01 00:04:00 13 1
2020-01-01 00:05:00 8 3
2020-01-01 00:06:00 8 2
2020-01-01 00:07:00 15 4
2020-01-01 00:08:00 22 1
2020-01-01 00:09:00 9 5
2020-01-01 00:10:00 8 3
2020-01-01 00:11:00 4 2
**

**Related:** How to Create a Date Range in Pandas

We can use the following syntax to calculate the sum of sales grouped by 5-minute intervals:

#calculate sum of sales and returns grouped by 5-minute intervals df.resample('5min').sum() sales returns date 2020-01-01 00:00:00 47 8 2020-01-01 00:05:00 62 15 2020-01-01 00:10:00 12 5

Here’s how to interpret the output:

- Total sales during minutes 0-4 was
**47**and total returns was**8**. - Total sales during minutes 5-9 was
**62**and total returns was**15**. - Total sales during minutes 10-14 was
**1 2**and total returns was**5**.

We can use similar syntax to calculate the max of the sales values and returns values, grouped by 5-minute intervals :

#calculate max of sales and max of returns grouped by 5-minute intervals df.resample('5min').max() sales returns date 2020-01-01 00:00:00 13 3 2020-01-01 00:05:00 22 5 2020-01-01 00:10:00 8 3

We can use similar syntax to calculate any value we’d like grouped by 5-minute intervals.

**Additional Resources**

The following tutorials explain how to perform other common operations in pandas:

How to Group by Day in Pandas

How to Group by Week in Pandas

How to Group by Month in Pandas

How to Group by Quarter in Pandas