ENH: value_counts to produce both count and normalized

[Keramatfar]

Feature Type

• [X] Adding new functionality to pandas

• [X] Changing existing functionality in pandas

• [ ] Removing existing functionality in pandas

Problem Description

I would like pandas to have a feature for when I need to see both the count and relative counts of a Series at once.

Feature Description

Now, I can get the count by value_counts and the relative count by passing the normalize parameter to that function. Sometimes it is more interesting to see them at once, probably using a new parameter to this function. Maybe editing the normalize parameter to handle three states, raw, relative, or both.

Alternative Solutions

Using two consecutive calls to value_counts by different values for normalize could provide the functionality.

Additional Context

No response

[rhshadrach]

Thanks for the request. I think two calls to value_counts would be unnecessary, and less performant than:

ser = pd.Series([1, 1, 2, 1, 3, 3, 1])

result = ser.value_counts().to_frame()
result["normalized"] = result / result["count"].sum()
print(result)
#    count  normalized
# 1      4    0.571429
# 3      2    0.285714
# 2      1    0.142857

This seems readily doable via the existing API, and therefore I am negative on adding it.