Klib

Changelog:

Changes
**Update dist_plot()**
- Update the implementation of *dist_plot()* to be compatible with the latest version of seaborn (0.11.1). The old implementation is deprecated and will be removed in future versions.
- Introduce sampling for large datasets (10k rows) what significantly speeds up plotting. Summary statistics continue to be based on the entire dataset, however, the figures use 10000 randomly sampled points.
- Minor cosmetic changes

**Several fixes and code quality improvements**

Adjustments & Fixes:

- clean_column_names: adding additional cases to column name cleaning
- data_cleaning: update the printout format, especially for large datasets with many duplicate rows
- update and improve docstrings, code formatting and clarity

Adjustments & Fixes:

- dist_plot: avoid running into an error when the dataframe includes a binary columns
- dist_plot: update the colors and slightly improve runtime

- cat_plot: fixed hard coded colors in the heatmap of cat_plot

Changelog:

Additions
- **clean_column_names():**
Cleans the column names of the provided Pandas Dataframe and optionally provides hints on duplicate and long column names. This functionality is also added to data_cleaning() by default.


Changes
- **small fixes and refinements**
Revert from split = {None, 'pos', 'neg', 'above', 'below'} to split = {None, 'pos', 'neg', 'high', 'low'} for all correlation functions.

- **increase test coverage**

- **update docstrings:**
Several updates to docstrings to improve clarity and conform with numpy style.

- **black formatting:**
Format the entire codebase with black.

Changelog:

Changes
- **data_cleaning():**
- Changed the default setting to do a shallow instead of a deep analysis of memory_usage.
- **Lowers function runtime compared to the previous version by about 70% - 80%**!

- **missingval_plot():**
- Minor changes to font size and spacing to accommodate very large datasets (40+ cols)

- **update docstrings:**
- Several updates to the readme, to the examples as well as to docstrings to improve clarity and formatting.