NumPy
numpy.org › doc › stable › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.5 Manual
Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 2.0 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.0 Manual
An array of weights associated with the values in a. Each value in a contributes to the quantile according to its associated weight. The weights array can either be 1-D (in which case its length must be the size of a along the given axis) or of the same shape as a.
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Python - Quantiles and Quartiles - YouTube
NumPy & Quantiles - YouTube
NumPy
numpy.org › devdocs › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.6.dev0 Manual
Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 2.1 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.1 Manual
Compute the q-th quantile of the data along the specified axis.
GeeksforGeeks
geeksforgeeks.org › python › numpy-quantile-in-python
numpy.quantile() in Python - GeeksforGeeks
April 22, 2025 - numpy.quantile() function is used to find the qth quantile, which is the value below which a given percentage q of data falls in a NumPy array.
NumPy
numpy.org › doc › 1.22 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.22 Manual
Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 2.3 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.3 Manual
Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 2.2 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.2 Manual
Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 2.4 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v2.4 Manual
Compute the q-th quantile of the data along the specified axis.
Programiz
programiz.com › python-programming › numpy › methods › quantile
NumPy quantile()
The numpy.quantile() method computes the q-th quantile of the data along the specified axis. The numpy.quantile() method computes the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 1.21 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.21 Manual
June 22, 2021 - Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 1.23 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.23 Manual
Compute the q-th quantile of the data along the specified axis.
Codecademy
codecademy.com › docs › python:numpy › built-in functions › .quantile()
Python:NumPy | Built-in Functions | .quantile() | Codecademy
April 19, 2025 - The .quantile() function returns the qth quantile(s) of an array as a NumPy array (ndarray) or a scalar (float64) if the result is a single value.
JAX Documentation
docs.jax.dev › en › latest › _autosummary › jax.numpy.quantile.html
jax.numpy.quantile — JAX documentation
Compute the quantile of the data along the specified axis. JAX implementation of numpy.quantile().
NumPy
numpy.org › doc › 1.19 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.19 Manual
June 29, 2020 - Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 1.25 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.25 Manual
If q is a single probability and axis=None, then the result is a scalar. If multiple probabilies levels are given, first axis of the result corresponds to the quantiles. The other axes are the axes that remain after the reduction of a. If the input contains integers or floats smaller than float64, the output data-type is float64.
NumPy
numpy.org › doc › 1.20 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.20 Manual
January 31, 2021 - Compute the q-th quantile of the data along the specified axis.
NumPy
numpy.org › doc › 1.26 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.26 Manual
If q is a single probability and axis=None, then the result is a scalar. If multiple probabilies levels are given, first axis of the result corresponds to the quantiles. The other axes are the axes that remain after the reduction of a. If the input contains integers or floats smaller than float64, the output data-type is float64.
SciPy
docs.scipy.org › doc › numpy-1.17.0 › reference › generated › numpy.quantile.html
numpy.quantile — NumPy v1.17 Manual
Given a vector V of length N, the q-th quantile of V is the value q of the way from the minimum to the maximum in a sorted copy of V. The values and distances of the two nearest neighbors as well as the interpolation parameter will determine the quantile if the normalized ranking does not match ...
Python Pool
pythonpool.com › home › numpy › numpy quantile(): q, axis, method, nan, and examples
Numpy Quantile() Explained With Examples - Python Pool
July 13, 2026 - Quantile method: Linear, lower, higher, midpoint, nearest, and interpolation. The method argument controls how NumPy handles positions that fall between two data points.