Florin Andrei

How to make the actual jar file

1

Would be nice to either include the jar file, or add some instructions on how to make one. Some users of this software may not be Java programmers.

BUG: pd.cut(df, bins=N) current behavior is incorrect, returns float where int is the limit

3

### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of...

add a limit for the disk storage size (retention size)

7

**Is your feature request related to a problem? Please describe.** There is a limit to the age of the oldest record stored in the database, set via the `-retentionPeriod` option....

ExhaustiveFeatureSelector(print_progress=True) doesn't do anything

2

#### Describe the bug Waiting through a long EFS run, hoping to get some progress feedback, I don't see any progress shown anywhere. #### Steps/Code to Reproduce ```python from sklearn.linear_model...

how to get Proportion Explained, RMSR and chi-squared?

1

**Is your feature request related to a problem? Please describe.** Dataset: [ifanmot.csv](https://github.com/EducationalTestingService/factor_analyzer/files/8896221/ifanmot.csv) R code: ``` fan

**Describe the bug** `FactorAnalyzer(method="principal")` triggers a FutureWarning in sklearn's `randomized_svd()`. **To Reproduce** Use this dataset: [ifanmot.csv](https://github.com/EducationalTestingService/factor_analyzer/files/8895990/ifanmot.csv) Code: ``` import pandas as pd from factor_analyzer import FactorAnalyzer ifanmot = pd.read_csv('ifanmot.csv') ifanmot_mat...

pg.qqplot() out of bounds

3

Data set: [HealthExam.csv](https://github.com/raphaelvallat/pingouin/files/8944899/HealthExam.csv) Code: ``` import numpy as np import pandas as pd import statsmodels.api as sm import pingouin as pg import seaborn as sns import matplotlib.pyplot as plt sns.set_theme()...

Feature request: add confidence interval to pg.wilcoxon()

1

In R, `wilcox.test(A, B, paired=T, conf.int=T)` also returns a confidence interval for the difference in median values. I can't seem to find an equivalent with `pg.wilcoxon()`.

p_map() very slow compared to multiprocess.Pool.map()

4

I'm trying to accelerate Pandas `df.apply()`, and also get a progress bar. The problem is, `p_map` is orders of magnitude slower than plain `multiprocess.Pool.map()` for a job where most of...

NameError: name 'time' is not defined

3

This code breaks with `NameError: name 'time' is not defined`: ``` import time from tqdm.auto import tqdm from p_tqdm import p_map, p_umap, p_imap, p_uimap numbers = list(range(0, 1000)) def heavy_processing(number):...