EdgeFrame ecdf

---

ecdf(self, column, result_frame_name=None)

Builds new frame with columns for data and distribution.

Parameters:

column : unicode

The name of the input column containing sample.

result_frame_name : unicode (default=None)

A name for the resulting frame which is created by this operation.

Returns:

: <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A new Frame containing each distinct value in the sample and its corresponding ECDF value.

Generates the empirical cumulative distribution for the input column.

Examples

Consider the following sample data set in frame with actual data labels specified in the labels column and the predicted labels in the predictions column:

>>> import trustedanalytics as ta
>>> import pandas as p
>>> f = ta.Frame(ta.Pandas(p.DataFrame([1, 3, 1, 0]), [('numbers', ta.int32)]))
  [==Job Progress...]

>>> f.take(5)
[[1], [3], [1], [0]]

#[==Job Progress...] # >>> result = f.ecdf(‘numbers’) # >>> result.inspect() # # b:int32 b_ECDF:float64 # /————————–/ # 1 0.2 # 2 0.5 # 3 0.8 # 4 1.0