Is there some philosophical reason that round(Series) and round(Dataframe) is not defined? See the example below. Being able to write round() as a function of a Dataframe or Series, as opposed to doing it afterwards would be nice. I'm willing to implement __round__() to make it work, but don't want to go down that path if there is some reason __round__() is not implemented.
Example:
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(10, 3), columns=['A', 'B', 'C'])
print (df.A.round())
print (round(df))
Produces
0 -2
1 1
2 -1
3 -1
4 2
5 0
6 0
7 0
8 -2
9 0
Name: A, dtype: float64
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-8-9d2be9cbdc70> in <module>()
3 df = pd.DataFrame(np.random.randn(10, 3), columns=['A', 'B', 'C'])
4 print (df.A.round())
----> 5 print (round(df))
TypeError: type DataFrame doesn't define __round__ method
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4