user799595
user799595
Python version 3.10.2 Seaborn version 0.11.2 ```python shape = np.arange(100)*np.arange(100)[::-1] df = pd.DataFrame({ 'start': np.repeat(pd.date_range(start='2005-01-01', periods=100, freq='D'), shape), 'end': np.repeat(pd.date_range(start='2005-03-01', periods=100, freq='D'), shape) }) sns.histplot(df, bins=10) ``` Expected result ...
**Describe the bug** matplotlib rcParams not taking effect until after the first plot. Apologies if this is not a jupyter notebook issue! **To Reproduce** I have the following Jupyter Notebook...
### Actual behavior  ### Code example ``` Let $T_{i, j}$ represent the entry in row $i$ and column $j$. ``` ### Environment ```text Operating system: macOS 12.3 VSCode version:...
Following up on my comment here: https://github.com/numpy/numpy-financial/pull/60#issuecomment-1456260408 This PR implements a better guess for IRR. I tested it on some of my data and it's faster than using guess =...
Would there be any interest in removing this line from problem.py: https://github.com/cvxgrp/dccp/blob/c94aba9881e9f39119c1a693a5a752f23cf0d403/dccp/problem.py#L334 It would be cleaner to have a separate function called `dccp.register()` you could call after import. The current...
```python kmf = lifelines.KaplanMeierFitter() kmf.fit([1, 2], event_observed=[1, 0], entry=[1, 0]) print(kmf.survival_function_) ``` Expected: ```python KM_estimate timeline 0.0 1.0 1.0 0.5 2.0 0.5 ``` Actual: ```python KM_estimate timeline 0.0 1.0 1.0...
I would like to finetune CodeLlama-13b in a memory efficient way. I was able to do it with CodeLlama-7b, but failing with 13b. I can't load the model `unsloth/codellama-13b-bnb-4bit`: ```python...