You can use `round()`

and `apply()`

to round up and down numbers in Pandas.

**Round to specific decimal places:**

df.round(decimals = number of specific decimal places)

**Round up numbers:**

df[‘DataFrame column’].apply(np.ceil)

**Method 3: Round down values:**

df.apply(np.floor)

## Data being used

The following is a column of numbers that we are going to use in this tutorial. It uses Numpy to generate an array of random numbers and then convert it into a column in a dataframe.

```
# import pandas and numpy packages
import pandas as pd
import numpy as np
# create an empty dataframe
df = pd.DataFrame()
# generate a random array of number
np.random.seed(seed=123)
array_1 = np.random.rand(5)
# create a column name 'numbers'
df['numbers']=array_1
# print out the dataframe
print(df)
```

The following is the print of the dataframe created by the code above. It is the **starting point** for all the examples shown later in this tutorial.

numbers 0 0.696469 1 0.286139 2 0.226851 3 0.551315 4 0.719469

## Example for Specific Decimals

We can specify to have 2 decimals places. The following is the code example.

```
# set decimals to be 2 and then save it as the same name of the original dataframe
df=df.round(decimals = 2)
# print out the updated version of dataframe
print(df)
```

The following is the updated version of dataframe with 2 decimals.

numbers 0 0.70 1 0.29 2 0.23 3 0.55 4 0.72

## Example for Round Up

You can round up numbers in a dataframe. The following is the Python code showing how to do it.

```
# code to round up values
df=df.apply(np.ceil)
# print out the round numbers
print(df)
```

The following shows the round numbers. Note that, since all the original numbers are below 1, they all became 1 now.

numbers 0 1.0 1 1.0 2 1.0 3 1.0 4 1.0

## Example for Round Down

You can also round down. The following is the code.

```
# code to round down values
df=df.apply(np.floor)
# print out the updated dataframe
print(df)
```

The following is the output. We can see all numbers are zero since the original numbers are all smaller than 1.

numbers 0 0.0 1 0.0 2 0.0 3 0.0 4 0.0