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Sciris v3.6.0

Fast, flexible tools to simplify scientific Python

For agents: Sciris: open-source Python library of tools for scientific computing, with tutorials, API reference and a style guide.

scientific pythonpython libraryapi referencenumerical toolstutorials

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T11:35:30.017Z. Cached copy · Source on sciris.org

# Sciris v3.6.0

> Fast, flexible tools to simplify scientific Python

- Sciris is a library of utilities for scientific computing: containers, file I/O, dates, arrays, plotting, parallelization, and profiling.
- Everything listed here is available from the top level: `import sciris as sc`, then e.g. `sc.findnearest()`. Do not import submodules directly.
- Signatures are as introspected from the current version; summaries are the first paragraph of each docstring.
- Aliases are alternative names for the same object; the canonical name is the one listed, and is the one to prefer when writing new code.
- A version of this file including a usage example for each function is available at llms-full.txt.

This file lists all 275 public Sciris functions and classes. It is generated from the source by `python make_api.py`; do not edit it by hand.

## Links

- [Documentation](https://docs.sciris.org): tutorials, API reference, and the style guide
- [Source](https://github.com/sciris/sciris): the Sciris repository
- [Paper](https://doi.org/10.21105/joss.05076): Sciris: Simplifying scientific software in Python (JOSS 2023)

## Math and arrays (sc_math)

- `sc.approx(val1=None, val2=None, eps=None, **kwargs)`: Determine whether two scalars (or an array and a scalar) approximately match. Alias for `np.isclose()`; deprecated, use `np.isclose()` instead. [DEPRECATED]
- `sc.cat(*args, copy=False, **kwargs)`: Like `numpy.concatenate`, but takes anything and returns an array. Useful for e.g. appending a single number onto the beginning or end of an array.
- `sc.convolve(a, v)`: Like `numpy.convolve`, but always returns an array the size of the first array (equivalent to mode='same'), and solves the boundary problem present in `numpy.convolve` by adjusting the edges by the weight of the convolution kernel.
- `sc.count(arr=None, val=None, eps=1e-06, **kwargs)`: Count the number of matching elements.
- `sc.dataindex(dataarray, index)`: Take an array of data and return either the first or last (or some other) non-NaN entry. [DEPRECATED]
- `sc.fillnans(data=None, replacenans=True, **kwargs)`: Alias for `sc.sanitize(..., replacenans=True)` with nearest interpolation (or a specified value).
- `sc.findfirst(*args, **kwargs)`: Alias for `sc.findinds(..., first=True)`. *New in version 1.0.0.*
- `sc.findinds(arr=None, val=None, *args, eps=1e-06, first=False, last=False, ind=None, die=True, **kwargs)`: Find matches even if two things aren't eactly equal (e.g. floats vs. ints).
- `sc.findlast(*args, **kwargs)`: Alias for `sc.findinds(..., last=True)`. *New in version 1.0.0.*
- `sc.findnans(data=None, **kwargs)`: Alias for `sc.findinds(np.isnan(data))`.
- `sc.findnearest(series=None, value=None)`: Return the index of the nearest match in series to value -- like `sc.findinds()`, but always returns an object with the same type as value (i.e. findnearest with a number returns a number, findnearest with an array returns an array).
- `sc.gauss1d(x=None, y=None, xi=None, scale=None,
…

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