scitex-pd 0.1.2

Pandas helpers (force_df, melt_cols, find_pval, mv, slice, sort, round, …) — standalone module from the SciTeX ecosystem

scitex-pd

Pandas helpers — coerce, reshape, find p-values, merge/melt columns, sort/slice/round.

Full Documentation · pip install scitex-pd

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Installation

pip install scitex-pd

Quick Start

import scitex_pd as pd_

pd_.force_df(data)              # Coerce dict / Series / list / scalar → DataFrame
pd_.from_xyz(df, x, y, z)       # Long → wide pivot
pd_.to_xy(df)                   # Wide → long
pd_.find_pval(df)               # Locate p-value columns

1 Interfaces

Python API

import scitex_pd as pd_

# Coerce / convert
pd_.force_df(data)
pd_.from_xyz(df, x, y, z)
pd_.to_xy(df)
pd_.to_xyz(df)
pd_.to_numeric(df)

# Find / inspect
pd_.find_pval(df)
pd_.find_indi(df, mask)
pd_.get_unique(df, "col")

# Reshape / restructure
pd_.merge_columns(df, [...], "out")
pd_.melt_cols(df, [...])
pd_.mv(df, col, position=-1)

# Transform
pd_.replace(df, mapping)
pd_.round(df, ndigits=2)
pd_.slice(df, ...)
pd_.sort(df, ...)

# Warnings
pd_.ignore_setting_with_copy_warning()

Status

Standalone fork of scitex.pd. Deps: numpy, pandas, scitex-types (for is_listed_X). The umbrella package's scitex.pd import path is preserved via a sys.modules-alias bridge.

Part of SciTeX

scitex-pd is part of SciTeX.

Four Freedoms for Research

0. The freedom to run your research anywhere — your machine, your terms.
1. The freedom to study how every step works — from raw data to final manuscript.
2. The freedom to redistribute your workflows, not just your papers.
3. The freedom to modify any module and share improvements with the community.

AGPL-3.0 — because we believe research infrastructure deserves the same freedoms as the software it runs on.

License

AGPL-3.0-only (see LICENSE).

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