Pingouin: statistics in Python
By Raphael Vallat. Journal of Open Source Software, 2018
1,537 citations recorded by the source corpus.
Python is currently the fastest growing programming language in the world, thanks to its ease-of-use, fast learning curve and its numerous high quality packages for data science and machine-learning. Surprisingly however, Python is far behind the R programming language when it comes to general statistics and for this reason many scientists still rely heavily on R to perform their statistical analyses.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/cbac8b0d82ea8e9251d5530695841d816cb196b9
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In Artificial Intelligence
- Ben-Zheng Li
- Feng Wan
- Venkatesh N. Murthy
- Steffen Schneider
- Ciarán Treacy
- M. Vai
- Q. Gehmacher
- S. Rösch
Citations in the corpus
- Multi-animal pose estimation, identification and tracking with DeepLabCut (2022, methodology): “Two-way, repeated-measures ANOVA were performed using Pinetwork flow minimizationngouin (v.0.5.0) 42 to test whether graph size and assembling method (naive versus data-driven versus calibrated assembly) had an impact on the fraction of unconnected body parts and NATuRe MeThoDS |…”
- Adapted large language models can outperform medical experts in clinical text summarization (2023, neutral): “…data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41591-024-02855-5. https://doi.org/10.1038/s41591-024-02855-5”
- OpenCap: Human movement dynamics from smartphone videos (2023, neutral): “13.2), and pingouin [99] (v0.”
- Resting-state EEG correlates of sustained attention in healthy ageing: Cross-sectional findings from the LEISURE study. (2024, methodology): “Statistical analyses and data visualisation were performed via Pandas (McKinney, 2010; The pandas development team, 2023), NumPy (Harris et al., 2020), SciPy (Virtanen et al., 2020), Pingouin (Vallat, 2018), Statsmodels (Seabold and Perktold, 2010), HLR (Anij ¨ arv et al., 2024), Matplotlib (Caswell”
- Dose-dependent power and connectivity modulation of low frequency oscillations through transcranial magnetic stimulation in non-human primates (2026, unknown): “All statistical analyses were performed with custom scripts in Python 3.11 using MNE-python (59), scipy (63), pingouin (64), and statsmodels (65).”
- The representation of abstract goals in working memory is supported by task-congruent neural geometry (2024, unknown): “BF10 was calculated using the python package Pingouin [76].”
- EEG Correlates of Cognitive Dynamics in Task Resumption After Interruptions: The Impact of Available Time and Flexibility (2024, unknown): “…and Pandas (v. 2.2.1) packages were used for handling the data and descriptive statistics, Pingouin (v. 0.5.4) for ANOVAs and post hoc t - tests and Matplotlib (v. 3.8.0) and seaborn (v. 0.13.2) for data visualization (Harris et al. 2020; Hunter 2007; McKinney n.d.; Vallat 2018; Waskom 2021).”
- Modulating Individual Alpha Frequency through Short-Term Neurofeedback for Cognitive Enhancement in Healthy Young Adults (2023, methodology): “The For each subject, the behavioral score was computed as the count of improved behavioral metrics before and after training sessions. analysis was performed using custom python scripts with Scipy [48] and Pingouin [49] libraries.”
- Direct Cochlear Recordings in Humans Show a Theta Rhythmic Modulation of Auditory Nerve Activity by Selective Attention (2022, methodology): “The resulting Observed and Chance accuracy values (where chance level was calculated as the mean accuracy of the 1000 random permutation scores) for every FOI were then statistically tested using pingouin (version 0.3.8 running on Python 3.7.7) (Vallat, 2018).”