benchmarks.wiki / Public workspace

DS-1000 / 432 / I try to retrieve percentiles from an array with NoData values. In my case the…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

prompt

Problem:
I try to retrieve percentiles from an array with NoData values. In my case the Nodata values are represented by -3.40282347e+38. I thought a masked array would exclude this values (and other that is lower than 0)from further calculations. I succesfully create the masked array but for the np.percentile() function the mask has no effect.
>>> DataArray = np.array(data)
>>> DataArray
([[ value, value...]], dtype=float32)
>>> masked_data = ma.masked_where(DataArray < 0, DataArray)
>>> percentile = 5
>>> prob = np.percentile(masked_data, percentile)
>>> print(prob)
 -3.40282347e+38
A:
<code>
import numpy as np
DataArray = np.arange(-5.5, 10.5)
percentile = 50
</code>
prob = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

Official source

initial import