fixing project testing

- TypeError: assert_frame_equal() got an unexpected keyword argument 'check_less_precise'
- upgrade requirements.txt for numpy/pandas
- upgrading minimum python version: py3.9+
- other misc changes

.travis.yml

@@ -3,9 +3,9 @@
 language: python
 
 python:
+  - "3.11"
+  - "3.10"
   - "3.9"
-  - "3.8"
-  - "3.7"
 
 env:
   - DEPS="pytest gensim smart_open==2.0.0"

CONTRIBUTING.rst

@@ -99,7 +99,7 @@ Before you submit a pull request, check that it meets these guidelines:
 2. If the pull request adds functionality, the docs should be updated. Put
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
-3. The pull request should work for Python 3.8, 3.9, 3.10, 3.11, and for PyPI. Check
+3. The pull request should work for Python 3.9, 3.10, 3.11, and for PyPI. Check
    https://travis-ci.org/bmabey/pyLDAvis/pull_requests
    and make sure that the tests pass for all supported Python versions.
 

Pipfile

@@ -5,9 +5,9 @@ name = "pypi"
 
 [packages]
 pyLDAvis = {editable = true, path = "."}
-numpy = ">=1.22.0"
+numpy = ">=1.24.2"
 scipy = "*"
-pandas = ">=1.3.4"
+pandas = ">=2.0.0"
 joblib = ">=1.2.0"
 numexpr = "*"
 funcy = "*"
@@ -17,7 +17,7 @@ Jinja2 = "*"
 reproducer = {editable = true, path = "."}
 
 [dev-packages]
-pytest = ">=3.8"
+pytest = ">=3.9"
 
 [requires]
-python_version = "3.10"
+python_version = "3.11"

requirements.txt

@@ -1,6 +1,6 @@
-numpy>=1.22.0
+numpy>=1.24.2
 scipy
-pandas>=1.3.4
+pandas>=2.0.0
 joblib>=1.2.0
 jinja2
 numexpr

setup.py

@@ -20,15 +20,16 @@
     name='pyLDAvis',
     version='3.4.1',
     description='Interactive topic model visualization. Port of the R package.',
+    long_description_content_type="text/x-rst",
     long_description=readme,
     author='Ben Mabey',
     author_email='[email protected]',
     url='https://github.com/bmabey/pyLDAvis',
-    download_url='https://github.com/bmabey/pyLDAvis/tarball/3.4.0',
+    download_url='https://github.com/bmabey/pyLDAvis/tarball/3.4.1',
     packages=['pyLDAvis'],
     package_dir={'pyLDAvis': 'pyLDAvis'},
     tests_require=['pytest'],
-    python_requires=">=3.8",
+    python_requires=">=3.9",
     include_package_data=True,
     install_requires=requirements,
     license='BSD-3-Clause',
@@ -41,7 +42,6 @@
         'License :: OSI Approved :: BSD License',
         'Natural Language :: English',
         'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.8',
         'Programming Language :: Python :: 3.9',
         'Programming Language :: Python :: 3.10',
         'Programming Language :: Python :: 3.11',

tests/pyLDAvis/test_prepare.py

@@ -61,7 +61,7 @@ def both(f):
 
     join_percent = float(len(joined)) / len(etinfo)
     print('Topic Info join was %.0f%%' % (100 * join_percent))
-    assert_frame_equal(ejoined, ojoined, check_less_precise=True)
+    assert_frame_equal(ejoined, ojoined, check_exact=False, rtol=0.1)
     assert join_percent > 0.95
 
     def abs_basis(df):
@@ -71,7 +71,7 @@ def abs_basis(df):
 
     emds, omds = both(lambda r: abs_basis(pd.DataFrame(r['mdsDat'])))
     assert_frame_equal(emds.reindex(sorted(oddf.columns), axis=1),
-                       omds.reindex(sorted(oddf.columns), axis=1), check_less_precise=True)
+                       omds.reindex(sorted(oddf.columns), axis=1), check_exact=False, rtol=0.1)
 
     def rounded_token_table(r):
         tt = pd.DataFrame(r['token.table'])

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist = py38, py39, py310, py311
+envlist = py39, py310, py311
 
 [testenv]
 install_command = pip3 install {opts} {packages}