Initial commit

.gitattributes

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+# Auto detect text files and perform LF normalization
+* text=auto

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
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+instance/
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+.scrapy
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+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
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+# Spyder project settings
+.spyderproject
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+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

LICENSE

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+MIT License
+
+Copyright (c) 2025 Stephen Mildenhall
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Greater Tables
+

greater_tables.py

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+# table formatting again
+import pandas as pd
+# from IPython.display import HTML
+
+
+def gtqd(df, col_align='', formatters=None, ratio_cols=None, **kwargs):
+    """Better HTML output for a DataFrame."""
+    table_id = f'T{id(df):x}'[::2].upper()
+    style = []
+
+    def r(x):
+        """Default ratio format."""
+        try:
+            return f'{x:.1%}'
+        except:
+            return x
+
+    def _float(x):
+        try:
+            return f'{x:,.3f}'
+        except:
+            return x
+
+    def _int(x):
+        try:
+            return f'{x:,.3f}'
+        except:
+            return x
+
+    # see if index col names in formatters?
+    dt = df.dtypes
+    if ratio_cols is None:
+        ratio_cols = []
+    elif not isinstance(ratio_cols, (list, tuple)):
+        ratio_cols = list(ratio_cols)
+
+    float_cols = df.select_dtypes(include='float').columns
+    integer_cols = df.select_dtypes(include='int').columns
+    if formatters is None:
+        formatters = {}
+
+    for c in df.columns:
+        if c not in formatters.keys():
+            # set a default
+            formatters[c] = r if c in ratio_cols else (
+                _float if c in float_cols else (
+                    _int if c in integer_cols else
+                    lambda x: x)
+                )
+
+    html = df.to_html(table_id=table_id, formatters=formatters, **kwargs)
+
+    if col_align == '':
+        # guess: index l, numeric r rest l
+        idx = 'l' * df.index.nlevels
+        numeric_cols = df.select_dtypes('number').columns
+        rc = ''.join('r' if c in numeric_cols else 'l' for c in df.columns)
+        col_align = idx + rc
+
+    # col no -> lrc -> spell out
+    d = {'l': 'left', 'r': 'right', 'c':'center'}
+    ca = col_align
+    ca = dict(zip(range(1, 1+len(ca)), map(d.get, ca)))
+    style.append('<style>')
+
+    style.append(f'''
+#{table_id}  {{
+/*  border-collapse: collapse;*/
+  width: 100%;
+/*  margin above left below right table*/
+  margin: 0px 0 10px 0;
+  font-family: "Open Sans Condensed", "Arial Narrow", Arial, "Roboto Condensed",  sans-serif;
+  font-size: 0.9em;
+}}
+
+''')
+
+
+    for i in range(1, 1+len(ca)):
+        style.append(
+            f'#{table_id} tbody td:nth-child({i}){{ text-align: {ca[i]}; }}')
+    style.append(f'#{table_id} th {{ text-align: center;}}')
+    style.append('</style>\n')
+
+    if len(style):
+        style = '\n'.join(style)
+    else:
+        style = ''
+
+    out = f'{style}{html}'
+
+    return out
+
+
+# def pf(df, *, ratio_cols=None, precision=3, pef_lower=-3, pef_upper=16,
+#     format_index=True):
+#     """Format a DataFrame."""
+
+#     df = df.copy()
+
+#     _ratio_names = ['max_LR', 'gross_LR', 'net_LR', 'ceded_LR', 'LR',
+#                     'COC']
+
+#     if ratio_cols == 'all':
+#         ratio_cols = [i for i in df.columns]
+
+#     elif ratio_cols is not None and type(ratio_cols) != list:
+#         ratio_cols = [ratio_cols]
+
+#     def pef(x):
+#         """Pandas engineering formatter."""
+#         return pd.io.formats.format.EngFormatter(accuracy=2, use_eng_prefix=True)(x)
+
+#     pl = 10.**pef_lower
+#     pu = 10.**pef_upper
+
+#     def nf(x):
+#         """Number formatter."""
+#         try:
+#             if x == int(x):
+#                 return f'{x:,.0f}'
+#             elif abs(x - 1) < 1e-3:
+#                 return f"1-{1 - x:.3g}"
+#             elif abs(x) < pl or abs(x) > pu:
+#                 return pef(x)
+#             elif abs(x) > 1e2:
+#                 fmt = f'{{x:,.{precision - 1}f}}'
+#                 return fmt.format(x=x)
+#                 # return f'{x:,.1f}'
+#             else:
+#                 fmt = f'{{x:,.{precision}f}}'
+#                 return fmt.format(x=x)
+#         except:
+#             return x
+
+#     def ratio(x):
+#         try:
+#             return f'{x:.1%}'
+#         except:
+#             return x
+
+#     def integer(x):
+#         return f'{x:,d}'
+
+#     # convert into string
+#     col_list = [f'{c}' for c in df.columns]
+
+#     if ratio_cols is None:
+#         ratio_cols = [c for c in col_list if c in _ratio_names]
+#         if len(ratio_cols) == 0:
+#             ratio_cols = None
+#     if ratio_cols is not None:
+#         col_list = list(set(col_list) - set(ratio_cols))
+
+#     number_cols = df.select_dtypes(include='number').columns
+
+#     index_cache = None
+#     if format_index:
+#         index_cache = df.index.names
+#         df = df. reset_index(drop=False)
+
+#     float_cols = df.select_dtypes(include='float').columns
+#     integer_cols = df.select_dtypes(include='int').columns
+
+#     for c in df:
+#         # if df.dtypes[c] in (int, float)
+#         if c in ratio_cols:
+#             df[c] = df[c].map(ratio)
+#         elif c in float_cols:
+#             df[c] = df[c].map(nf)
+#         elif c in integer_cols:
+#             df[c] = df[c].map(integer)
+#         else:
+#             print(f'Col {c} not treated')
+
+#     if format_index and index_cache is not None:
+#         df = df.set_index(index_cache)
+
+#     # align number columns
+#     # method 1
+#     # sdf = (
+#     #     df.style
+#     #     .applymap(lambda x: 'text-align: right;', subset=number_cols
+#     #         )
+#     # )
+
+#     # Define styles for specific columns
+#     # styles = [
+#     #     {'selector': f'td.col{i}', 'props': [('text-align', 'right')]}  # Apply to specific columns
+#     #     for i in number_cols
+#     # ]
+
+#     # # Apply styles
+#     # styled_df = df.style.set_table_styles(styles)
+
+#     # display(styled_df)
+
+
+#     # Generate table HTML with inline CSS
+#     table_html = df.to_html(index=True, classes="dataframe")
+
+
+#     return HTML(table_html)

pyproject.toml

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+[build-system]
+requires = ["setuptools", "wheel"]  # Tools needed to build the package
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "greater_tables"
+version = "1.0.0"
+description = "Perfect tables from pandas"
+authors = [{name = "Stephen J Mildehall", email = "mynl@me.com" }]
+readme = "README.md"
+license = { text = "BSD 3-Clause" }
+requires-python = ">=3.10"
+dependencies = ["pandas"]