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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# pandas-should\n\npandas-should is pandas extension for asserting.\n\n### Install\n\nInstall and update released version using pip:\n\n```sh\n$ pip install pandas-should\n```\n\nIf you want development version:\n\n```sh\n$ pip install git+https://github.com/momijiame/pandas-should.git\n```\n\n### Quickstart\n\nYou can just to import `pandas_should` to use:\n\n```python\nimport pandas_should\n```\n\n#### DataFrame\n\n##### Length (rows)\n\nBefore:\n\n```python\nassert len(df1) == len(df2)\n```\n\nAfter:\n\n```python\nassert df1.should.have_same_length(df2)\n```\n\nOr\n\n```python\nassert df1.should.have_length(len(df2))\n```\n\nBefore (multiple DataFrame):\n\n```python\nassert len(df1) == (len(df2) + len(df3))\n```\n\nAfter (multiple DataFrame)\n\n```python\nassert df1.should.have_same_length(df2, df3)\n```\n\n##### Width (columns)\n\nBefore:\n\n```python\nassert len(df1.columns) == len(df2.columns)\n```\n\nAfter:\n\n```python\nassert df1.should.have_same_width(df2)\n```\n\nOr\n\n```python\nassert df1.should.have_width(len(df2.columns))\n```\n\nBefore (multiple DataFrame):\n\n```python\nassert len(df1.columns) == (len(df2.columns)) + len(df3.columns)))\n```\n\nAfter (multiple DataFrame)\n\n```python\nassert df1.should.have_same_width(df2, df3)\n```\n\n##### Equality\n\nBefore:\n\n```python\nfrom pandas.util.testing import assert_frame_equal\ndef equal(a, b):\n    try:\n        assert_frame_equal(a, b)\n    except AssertionError:\n        return False\n    return True\n\nassert equal(df1, df2)\n```\n\nAfter:\n\n```python\nassert df1.should.equal(df2)\n```\n\n##### Null inclusion\n\nBefore:\n\n```python\nassert df.isnull().any(axis=None)\n```\n\nAfter:\n\n```python\nassert df.should.have_null()\n```\n\nOr expect not to be included:\n\n```python\nassert df.should.have_not_null()\nassert not df.should.have_null()\n```\n\n\n##### Shape\n\nBefore:\n\n```python\nassert df1.shape == df2.shape\n```\n\nAfter:\n\n```python\nassert df1.should.be_shaped_like(df2)\n```\n\nOr\n\n```python\nassert df1.should.be_shaped_like(df2.shape)\nassert df1.should.be_shaped_like(df2.shape[0], df2.shape[1])\n```\n\n##### Value range\n\nBefore:\n\n```python\nassert (df >= range_min).any(axis=None) and (df <= range_max).any(axis=None) \n```\n\nAfter:\n\n```python\nassert df.should.fall_within_range(range_min, range_max)\n```\n\nGreater than only:\n\n```python\nassert df.should.greater_than(range_min)\nassert df.should.greater_than_or_equal(range_min)\n```\n\nLess than only:\n\n```python\nassert df.should.less_than(range_min)\nassert df.should.less_than_or_equal(range_min)\n```\n\n#### Series\n\n##### Length\n\nBefore:\n\n```python\nassert len(s1) == len(s2)\n```\n\nAfter:\n\n```python\nassert s1.should.have_same_length(s2)\n```\n\nOr:\n\n```python\nassert s1.should.have_length(len(s2))\n```\n\nBefore (multiple Series):\n\n```python\nassert len(s1) == (len(s2) + len(s3))\n```\n\nAfter (multiple Series):\n\n```python\nassert s1.should.have_same_length(s2, s3)\n```\n\n##### Equality\n\nBefore:\n\n```python\nfrom pandas.util.testing import assert_series_equal\ndef equal(a, b):\n    try:\n        assert_series_equal(a, b)\n    except AssertionError:\n        return False\n    return True\n\nassert equal(s1, s2)\n```\n\nAfter:\n\n```python\nassert s1.should.equal(s2)\n```\n\n##### Null inclusion\n\nBefore:\n\n```python\nassert s.isnull().any()\n```\n\nAfter:\n\n```python\nassert s.should.have_null()\n```\n\nOr expect not to be included:\n\n```python\nassert s.should.have_not_null()\nassert not s.should.have_null()\n```\n\n##### Value range\n\n\nBefore:\n\n```python\nassert (s >= range_min).any() and (s <= range_max).any() \n```\n\nAfter:\n\n```python\nassert s.should.fall_within_range(range_min, range_max)\n```\n\nGreater than only:\n\n```python\nassert s.should.greater_than(range_min)\nassert s.should.greater_than_or_equal(range_min)\n```\n\nLess than only:\n\n```python\nassert s.should.less_than(range_min)\nassert s.should.less_than_or_equal(range_min)\n```\n\n##### Value variety\n\nBefore:\n\n```python\nassert len(s.unique()) == expect_size\n```\n\nAfter:\n\n```python\nassert s.should.have_number_of_unique_values(expect_size)\n```",
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