>>> df = session.create_dataframe([1,2,3,4,5], schema=["a"])
>>> df.select(approx_percentile_accumulate("a").alias("result")).show()
------------------------------
|"RESULT" |
------------------------------
|{ |
| "state": [ |
| 1.000000000000000e+00, |
| 1.000000000000000e+00, |
| 2.000000000000000e+00, |
| 1.000000000000000e+00, |
| 3.000000000000000e+00, |
| 1.000000000000000e+00, |
| 4.000000000000000e+00, |
| 1.000000000000000e+00, |
| 5.000000000000000e+00, |
| 1.000000000000000e+00 |
| ], |
| "type": "tdigest", |
| "version": 1 |
|} |
------------------------------