The right way to round pandas.DataFrame?

Question

I want round `pandas.DataFrame`. Here is what i have tried so far: ``` import pandas as pd data = pd.DataFrame([1.4,2.5,3.8,4.4,5.6],[6.2,7.6,8.8,9.1,0]) print(round(data)) ``` But when i run this code, i get the following error: ``` Traceback (most recent call last): File "C:\Users\*****\Documents\*****\******\****.py", line 3, in <module> print(round(data)) TypeError: type DataFrame doesn't define __round__ method ``` What is the right way to round `pandas.DataFrame` ?

Accepted Answer

first, you may want to change the definition of your data frame, something like:

```
data = pd.DataFrame([[1.4,2.5,3.8,4.4,5.6],[6.2,7.6,8.8,9.1,0]]).T
```

which results this:

```
     0    1
0  1.4  6.2
1  2.5  7.6
2  3.8  8.8
3  4.4  9.1
4  5.6  0.0
```

or:

```
data = pd.DataFrame({'A':[1.4,2.5,3.8,4.4,5.6],'B':[6.2,7.6,8.8,9.1,0]})
```

so that you get two columns, otherwise the other list is picked up as index; then:

```
data.apply(pd.Series.round)
```

or

```
import numpy as np
data.apply(np.round)
```

The right way to round pandas.DataFrame?

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