diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 5e21426..2bcd2ea 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -1,4 +1,4 @@
-name: Integration and Unit Tests Type Infer
+name: Type Infer Tests Workflow
on:
push:
@@ -6,7 +6,9 @@ on:
branches:
- stable
- staging
-
+ paths-ignore:
+ - 'docssrc/**'
+ - '**.md'
jobs:
test:
@@ -14,7 +16,7 @@ jobs:
strategy:
matrix:
os: [ubuntu-latest]
- python-version: [3.8,3.9]
+ python-version: [3.7,3.8,3.9]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
new file mode 100644
index 0000000..4a7a750
--- /dev/null
+++ b/CODE_OF_CONDUCT.md
@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+ and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+ overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+ advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+ address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+ professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+admin@mindsdb.com.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 0000000..c035a4b
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,48 @@
+# Contributing to Mindsdb
+
+Being part of the core MindsDB team is accessible to anyone who is motivated and wants to be part of that journey!
+
+Please see below how to contribute to the project, also refer to the contributing documentation.
+
+## How can you help us?
+
+* Report a bug
+* Improve documentation
+* Discuss the code implementation
+* Submit a bug fix
+* Propose new features
+* Test Mindsdb
+
+## Code contributions
+
+In general, we follow the "fork-and-pull" Git workflow.
+1. Fork the `type_infer` repository
+2. Clone the repository
+3. Make changes and commit them
+4. Push your local branch to your fork
+5. Submit a Pull request so that we can review your changes
+6. Write a commit message
+7. Make sure that the CI tests are GREEN
+
+> NOTE: Be sure to merge the latest from "upstream" before making a pull request! Also, make the PR to the staging branch.
+
+## Feature and Bug reports
+
+We use GitHub issues to track bugs and features. Report them by opening a [new issue](https://github.com/mindsdb/type_infer/issues/new) and fill out all of the required inputs.
+
+## Code review process
+
+The Pull Request reviews are done on a regular basis. Please, make sure you respond to our feedback/questions.
+
+## Community
+
+If you have additional questions or you want to chat with the MindsDB core team, please join our [Slack community](https://join.slack.com/t/mindsdbcommunity/shared_invite/zt-o8mrmx3l-5ai~5H66s6wlxFfBMVI6wQ) or post at [Github Discussions](https://github.com/mindsdb/type_infer/discussions).
+
+To get updates on MindsDB’s latest announcements, releases, and events, sign up for our [Monthly Community Newsletter](https://mindsdb.com/newsletter/?utm_medium=community&utm_source=github&utm_campaign=mindsdb%20repo).
+
+Join our mission of democratizing machine learning!
+
+## Contributor Code of Conduct
+
+Please note that this project is released with a [Contributor Code of Conduct](https://github.com/mindsdb/type_infer/blob/staging/CODE_OF_CONDUCT.md). By participating in this project, you agree to abide by its terms.
+
diff --git a/README.md b/README.md
index 2419a5b..314eb21 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,31 @@
-# type_infer
+# MindsDB Type Infer
+
+ 
+
+
+
+
Automated type inference for Machine Learning pipelines.
+
+# Documentation
+Documentation link
diff --git a/docssrc/source/index.rst b/docssrc/source/index.rst
index 6d83025..d5c7b4c 100644
--- a/docssrc/source/index.rst
+++ b/docssrc/source/index.rst
@@ -32,7 +32,7 @@ We recommend doing the above inside a newly-created python virtual environment.
Setting up a dev environment
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Clone the repository
-- Run ``cd type_infer && pip install requirements.txt``
+- Run ``cd type_infer && pip install --editable .``
- Add it to your python path (e.g. by adding ``export PYTHONPATH='/where/you/cloned/repo':$PYTHONPATH`` as a newline at the end of your ``~/.bashrc`` file)
- Check that the unit-tests are passing by going into the directory where you cloned and running: ``python -m unittest discover tests``
diff --git a/poetry.lock b/poetry.lock
index 156f6f9..a7fc8a9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -8,14 +8,15 @@ python-versions = ">=3.7"
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
[[package]]
name = "colorama"
-version = "0.4.5"
+version = "0.4.6"
description = "Cross-platform colored terminal text."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
[[package]]
name = "colorlog"
@@ -47,6 +48,23 @@ typing-inspect = ">=0.4.0"
[package.extras]
dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=6.2.3)", "simplejson", "types-dataclasses"]
+[[package]]
+name = "importlib-metadata"
+version = "5.0.0"
+description = "Read metadata from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+perf = ["ipython"]
+testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
+
[[package]]
name = "joblib"
version = "1.2.0"
@@ -126,11 +144,11 @@ twitter = ["twython"]
[[package]]
name = "numpy"
-version = "1.23.4"
+version = "1.21.6"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7,<3.11"
[[package]]
name = "packaging"
@@ -145,19 +163,19 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
[[package]]
name = "pandas"
-version = "1.5.0"
+version = "1.1.5"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6.1"
[package.dependencies]
-numpy = {version = ">=1.20.3", markers = "python_version < \"3.10\""}
-python-dateutil = ">=2.8.1"
-pytz = ">=2020.1"
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
[package.extras]
-test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+test = ["hypothesis (>=3.58)", "pytest (>=4.0.2)", "pytest-xdist"]
[[package]]
name = "pyparsing"
@@ -183,7 +201,7 @@ six = ">=1.5"
[[package]]
name = "pytz"
-version = "2022.5"
+version = "2022.6"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
@@ -191,7 +209,7 @@ python-versions = "*"
[[package]]
name = "regex"
-version = "2022.9.13"
+version = "2022.10.31"
description = "Alternative regular expression module, to replace re."
category = "main"
optional = false
@@ -199,19 +217,14 @@ python-versions = ">=3.6"
[[package]]
name = "scipy"
-version = "1.9.2"
-description = "Fundamental algorithms for scientific computing in Python"
+version = "1.7.3"
+description = "SciPy: Scientific Library for Python"
category = "main"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7,<3.11"
[package.dependencies]
-numpy = ">=1.18.5,<1.26.0"
-
-[package.extras]
-dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
-test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+numpy = ">=1.16.5,<1.23.0"
[[package]]
name = "six"
@@ -266,10 +279,22 @@ python-versions = "*"
mypy-extensions = ">=0.3.0"
typing-extensions = ">=3.7.4"
+[[package]]
+name = "zipp"
+version = "3.10.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
[metadata]
lock-version = "1.1"
-python-versions = ">=3.8,<3.10"
-content-hash = "630228c5f650d2b4faf0ba79324ee5a32a22dd0acbb4f0af8fdda5a4515b9597"
+python-versions = ">=3.7,<3.10"
+content-hash = "740960d8f0dd06f6ca3414da1124b5406bc684de7a965e9303133d1ca220dcc2"
[metadata.files]
click = [
@@ -277,8 +302,8 @@ click = [
{file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
]
colorama = [
- {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
- {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
+ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
colorlog = [
{file = "colorlog-6.7.0-py2.py3-none-any.whl", hash = "sha256:0d33ca236784a1ba3ff9c532d4964126d8a2c44f1f0cb1d2b0728196f512f662"},
@@ -288,6 +313,10 @@ dataclasses-json = [
{file = "dataclasses-json-0.5.7.tar.gz", hash = "sha256:c2c11bc8214fbf709ffc369d11446ff6945254a7f09128154a7620613d8fda90"},
{file = "dataclasses_json-0.5.7-py3-none-any.whl", hash = "sha256:bc285b5f892094c3a53d558858a88553dd6a61a11ab1a8128a0e554385dcc5dd"},
]
+importlib-metadata = [
+ {file = "importlib_metadata-5.0.0-py3-none-any.whl", hash = "sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43"},
+ {file = "importlib_metadata-5.0.0.tar.gz", hash = "sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab"},
+]
joblib = [
{file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
{file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
@@ -312,67 +341,67 @@ nltk = [
{file = "nltk-3.7.zip", hash = "sha256:d6507d6460cec76d70afea4242a226a7542f85c669177b9c7f562b7cf1b05502"},
]
numpy = [
- {file = "numpy-1.23.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:95d79ada05005f6f4f337d3bb9de8a7774f259341c70bc88047a1f7b96a4bcb2"},
- {file = "numpy-1.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:926db372bc4ac1edf81cfb6c59e2a881606b409ddc0d0920b988174b2e2a767f"},
- {file = "numpy-1.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c237129f0e732885c9a6076a537e974160482eab8f10db6292e92154d4c67d71"},
- {file = "numpy-1.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8365b942f9c1a7d0f0dc974747d99dd0a0cdfc5949a33119caf05cb314682d3"},
- {file = "numpy-1.23.4-cp310-cp310-win32.whl", hash = "sha256:2341f4ab6dba0834b685cce16dad5f9b6606ea8a00e6da154f5dbded70fdc4dd"},
- {file = "numpy-1.23.4-cp310-cp310-win_amd64.whl", hash = "sha256:d331afac87c92373826af83d2b2b435f57b17a5c74e6268b79355b970626e329"},
- {file = "numpy-1.23.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:488a66cb667359534bc70028d653ba1cf307bae88eab5929cd707c761ff037db"},
- {file = "numpy-1.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ce03305dd694c4873b9429274fd41fc7eb4e0e4dea07e0af97a933b079a5814f"},
- {file = "numpy-1.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8981d9b5619569899666170c7c9748920f4a5005bf79c72c07d08c8a035757b0"},
- {file = "numpy-1.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a70a7d3ce4c0e9284e92285cba91a4a3f5214d87ee0e95928f3614a256a1488"},
- {file = "numpy-1.23.4-cp311-cp311-win32.whl", hash = "sha256:5e13030f8793e9ee42f9c7d5777465a560eb78fa7e11b1c053427f2ccab90c79"},
- {file = "numpy-1.23.4-cp311-cp311-win_amd64.whl", hash = "sha256:7607b598217745cc40f751da38ffd03512d33ec06f3523fb0b5f82e09f6f676d"},
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- {file = "numpy-1.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0882323e0ca4245eb0a3d0a74f88ce581cc33aedcfa396e415e5bba7bf05f68"},
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+ {file = "scipy-1.7.3-cp39-cp39-win32.whl", hash = "sha256:2c56b820d304dffcadbbb6cbfbc2e2c79ee46ea291db17e288e73cd3c64fefa9"},
+ {file = "scipy-1.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:3f78181a153fa21c018d346f595edd648344751d7f03ab94b398be2ad083ed3e"},
+ {file = "scipy-1.7.3.tar.gz", hash = "sha256:ab5875facfdef77e0a47d5fd39ea178b58e60e454a4c85aa1e52fcb80db7babf"},
]
six = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
@@ -519,3 +556,7 @@ typing-inspect = [
{file = "typing_inspect-0.8.0-py3-none-any.whl", hash = "sha256:5fbf9c1e65d4fa01e701fe12a5bca6c6e08a4ffd5bc60bfac028253a447c5188"},
{file = "typing_inspect-0.8.0.tar.gz", hash = "sha256:8b1ff0c400943b6145df8119c41c244ca8207f1f10c9c057aeed1560e4806e3d"},
]
+zipp = [
+ {file = "zipp-3.10.0-py3-none-any.whl", hash = "sha256:4fcb6f278987a6605757302a6e40e896257570d11c51628968ccb2a47e80c6c1"},
+ {file = "zipp-3.10.0.tar.gz", hash = "sha256:7a7262fd930bd3e36c50b9a64897aec3fafff3dfdeec9623ae22b40e93f99bb8"},
+]
diff --git a/pyproject.toml b/pyproject.toml
index 28e1b89..9397a1b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "type_infer"
-version = "0.0.6"
+version = "0.0.7"
description = "Automated type inference for Machine Learning pipelines."
authors = ["MindsDB Inc. "]
license = "GPL-3.0"
@@ -8,7 +8,7 @@ readme = "README.md"
packages = [{include = "type_infer"}]
[tool.poetry.dependencies]
-python = ">=3.8,<3.10"
+python = ">=3.7,<3.10"
python-dateutil = "^2.1"
scipy = "^1"
numpy = "^1.15"
diff --git a/type_infer/__init__.py b/type_infer/__init__.py
index ce3f8ca..fb71641 100644
--- a/type_infer/__init__.py
+++ b/type_infer/__init__.py
@@ -4,7 +4,7 @@
from type_infer import helpers
-__version__ = '0.0.6'
+__version__ = '0.0.7'
__all__ = ['base', 'dtype', 'infer', 'helpers', '__version__']
diff --git a/type_infer/base.py b/type_infer/base.py
index 2c114cc..94fc108 100644
--- a/type_infer/base.py
+++ b/type_infer/base.py
@@ -9,7 +9,7 @@ class TypeInformation:
"""
For a dataset, provides information on columns types, how they're used, and any other potential identifiers.
- TypeInformation is generated within ``data.infer_types``, where small samples of each column are evaluated in a custom framework to understand what kind of data type the model is. The user may override data types, but it is recommended to do so within a JSON-AI config file.
+ ``TypeInformation`` is generated within :py:func:`infer.infer_types`, where small samples of each column are evaluated in a custom framework to understand what kind of data type the model is. The user may override data types, but it is recommended to do so within a JSON-AI config file.
:param dtypes: For each column's name, the associated data type inferred.
:param additional_info: Any possible sub-categories or additional descriptive information.
diff --git a/type_infer/helpers.py b/type_infer/helpers.py
index 2166525..496d0a5 100644
--- a/type_infer/helpers.py
+++ b/type_infer/helpers.py
@@ -101,7 +101,10 @@ def get_identifier_description(data: Iterable, column_name: str, data_dtype: dty
for i, _ in enumerate(str_data[0]):
N = len(set(x[i] for x in str_data))
S = st.entropy([*Counter(x[i] for x in str_data).values()])
- randomness_per_index.append(S / np.log(N))
+ if S == 0:
+ randomness_per_index.append(0.0)
+ else:
+ randomness_per_index.append(S / np.log(N))
if np.mean(randomness_per_index) > 0.95:
return 'Hash-like identifier'
diff --git a/type_infer/infer.py b/type_infer/infer.py
index 7ae1872..7fcb031 100644
--- a/type_infer/infer.py
+++ b/type_infer/infer.py
@@ -365,6 +365,23 @@ def sample_data(df: pd.DataFrame):
def infer_types(data: pd.DataFrame, pct_invalid: float, seed_nr: int = 420, mp_cutoff: int = 1e4) -> TypeInformation:
+ """
+ Infers the data types of each column of the dataset by analyzing a small sample of
+ each column's items.
+
+ Inputs
+ ----------
+ data : pd.DataFrame
+ The input dataset for which we want to infer data type information.
+ pct_invalid : float
+ The percentage, i.e. a float between 0.0 and 100.0, of invalid values that are
+ accepted before failing the type inference for a column.
+ seed_nr : int, optional
+ Seed for the random number generator, by default 420
+ mp_cutoff : int, optional
+ How many elements in the dataframe before switching to parallel processing, by
+ default 1e4.
+ """
seed(seed_nr)
type_information = TypeInformation()
sample_df = sample_data(data)
+ 
+ 
+
+ 
+
+
+