diff --git a/docs/release_notes/index.rst b/docs/release_notes/index.rst
index c37c3bf..01cba3a 100644
--- a/docs/release_notes/index.rst
+++ b/docs/release_notes/index.rst
@@ -5,6 +5,14 @@ Release notes
 ========================
 
 
+**v0.8.0 2022-01-29**
+
+- Added `bins` parameter to :func:`piso.coverage` and :meth:`ArrayAccessor.coverage() <piso.accessor.ArrayAccessor.coverage>`
+- Added `how` parameter to :func:`piso.coverage` and :meth:`ArrayAccessor.coverage() <piso.accessor.ArrayAccessor.coverage>`
+- Added `result` parameter to :func:`piso.contains` and :meth:`ArrayAccessor.contains() <piso.accessor.ArrayAccessor.contains>`
+- Added `how` parameter to :func:`piso.contains` and :meth:`ArrayAccessor.contains() <piso.accessor.ArrayAccessor.contains>`
+
+
 **v0.7.0 2021-11-20**
 
 Added the following methods
@@ -28,6 +36,7 @@ The following methods were extended to accommodate intervals with *closed = "bot
 - :func:`piso.lookup`
 - :func:`piso.isdisjoint` (and :meth:`ArrayAccessor.isdisjoint() <piso.accessor.ArrayAccessor.isdisjoint>`)
 
+
 **v0.5.0 2021-11-02**
 
 Added the following methods
diff --git a/piso/accessor.py b/piso/accessor.py
index 0813c5c..dba26f0 100644
--- a/piso/accessor.py
+++ b/piso/accessor.py
@@ -142,10 +142,12 @@ def issubset(self, *interval_arrays, squeeze=False):
         )
 
     @Appender(docstrings.coverage_docstring, join="\n", indents=1)
-    def coverage(self, domain=None):
+    def coverage(self, domain=None, bins=False, how="fraction"):
         return intervalarray.coverage(
             self._interval_array,
             domain,
+            bins,
+            how,
         )
 
     @Appender(docstrings.complement_docstring, join="\n", indents=1)
@@ -156,11 +158,13 @@ def complement(self, domain=None):
         )
 
     @Appender(docstrings.contains_docstring, join="\n", indents=1)
-    def contains(self, x, include_index=True):
+    def contains(self, x, include_index=True, result="cartesian", how="any"):
         return intervalarray.contains(
             self._interval_array,
             x,
             include_index,
+            result,
+            how,
         )
 
     @Appender(docstrings.split_docstring, join="\n", indents=1)
diff --git a/piso/docstrings/accessor.py b/piso/docstrings/accessor.py
index e182740..175eb3a 100644
--- a/piso/docstrings/accessor.py
+++ b/piso/docstrings/accessor.py
@@ -591,11 +591,13 @@ def join_params(list_of_param_strings):
 
 
 coverage_docstring = """
-Calculates the fraction of a domain covered by a collection of intervals.
+Calculates the size of a domain (or possibly multiple domains) covered by a collection of intervals.
 
 The intervals are contained in the array object the accessor belongs to.
 The (possibly overlapping) intervals may not, or partially, or wholly cover the domain.
 
+Calculation over multiple domains is only possible when *bins* = True.
+
 Parameters
 ----------
 domain : :py:class:`tuple`, :class:`pandas.Interval`, :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray`, optional
@@ -604,11 +606,19 @@ def join_params(list_of_param_strings):
     If *domain* is a tuple then it should specify lower and upper bounds, and be equivalent to a
     :class:`pandas.Interval`.  If *domain* is a :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray`
     then the intervals it contains define a possibly disconnected domain.
+    If *bins* = True then *domain* must be :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray` with disjoint intervals.
+bins : boolean, default False
+    If False, then the *domain* is interpreted as a single domain and returns one value.
+    If True, then *domain* is interpreted as disjoint bins over which coverage is calculated for each.
+how : {"fraction", "sum"}, default "fraction"
+    If *how* = "fraction" then the result is a fraction of the size of the domain.
+    If *how* = "sum" then the result is the length of the domain covered.
+
+    .. versionadded:: 0.8.0
 
 Returns
 ----------
-float
-    a number between 0 and 1, representing the fraction of the domain covered.
+float or :class:`pandas.Series`
 
 Examples
 -----------
@@ -630,11 +640,24 @@ def join_params(list_of_param_strings):
 >>> arr1.piso.coverage(pd.Interval(-10, 10))
 0.3
 
+>>> arr1.piso.coverage(pd.Interval(-10, 10), how="sum")
+6
+
 >>> domain = pd.arrays.IntervalArray.from_tuples(
-...     [(4,6), (7, 9)],
+...     [(4,6), (7, 10)],
 ... )
 >>> arr1.piso.coverage(domain)
-0.5
+0.4
+
+>>> arr1.piso.coverage(domain, bins=True)
+(4, 6]     0.500000
+(7, 10]    0.333333
+dtype: float64
+
+>>> arr1.piso.coverage(domain, bins=True, how="sum")
+(4, 6]     1.0
+(7, 10]    1.0
+dtype: float64
 """
 
 complement_docstring = """
@@ -736,25 +759,39 @@ def join_params(list_of_param_strings):
 
 
 contains_docstring = """
-Check pair-wise if a set of intervals, belonging to the object the accessor belongs to, contains a set of values.
+Evaluates the intersection of a set of intervals with a set of points.
 
-Returns a 2-dimensional boolean mask *M* of shape *(m,n)* where *m* is the number of intervals, and
-*n* is the number of points.  The element in the i-th row and j-th column is True if
+The format of the result is dependent on the *result* parameter.  If *result = "cartesian"* then the
+the function returns a 2-dimensional boolean mask *M* of shape *(m,n)* where *m* is the number of
+intervals, and *n* is the number of points.  The element in the i-th row and j-th column is True if
 the i-th interval contains the j-th point.
 
+If *result = "points"* then the result is a 1-dimensional boolean mask of length *n*.
+If *result = "intervals"* then the result is a 1-dimensional boolean mask of length *m*.
+
 Parameters
 ----------
+interval_array : :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray`
+    Contains the intervals.  May be left-closed, right-closed, both, or neither.
 x : scalar, or array-like of scalars
-    Values in *x* should belong to the same domain as the intervals in *interval_array*.
-    May be left-closed, right-closed, both, or neither.
+    Values in *x* should belong to the same domain as the intervals contained by the object the
+    accessor belongs to.
 include_index : boolean, default True
     Indicates whether to return a :class:`numpy.ndarray` or :class:`pandas.DataFrame` indexed
     by *interval_array* and column names equal to *x*
+result : {"cartesian", "points", "intervals"}, default "cartesian"
+    If *result* = "cartesian" then the result will be two dimensional, otherwise it will be
+    one dimensional.
+how : {"any", "all"}, default "any"
+    Only relevant if *result* is not "cartesian".  This parameter indicates either:
+    - a True value means any or all points are contained within an interval, or
+    - a True value means any or all intervals contained a point.
+    Which of these interpretations is dependent on the *result* parameter.
 
 Returns
 ----------
-:class:`numpy.ndarray` or :class:`pandas.DataFrame`
-    Two dimensional and boolean valued.  Return type dependent on *include_index*.
+:class:`numpy.ndarray`, :class:`pandas.DataFrame` or :class:`pandas.Series`
+    One, or two, dimensional and boolean valued.  Return type dependent on *include_index* and *result*.
 
 Examples
 -----------
@@ -781,6 +818,25 @@ def join_params(list_of_param_strings):
 array([[False,  True,  True,  True],
        [False, False,  True,  True]])
 
+>>> arr.piso.contains([0, 1, 3, 4], result="points")
+0    False
+1     True
+3     True
+4     True
+dtype: bool
+
+>>> arr.piso.contains([0, 1, 3, 4], result="points", how="all")
+0    False
+1    False
+3     True
+4     True
+dtype: bool
+
+>>> arr.piso.contains([0, 1, 3, 4], result="intervals")
+(0, 4]    True
+(2, 5]    True
+dtype: bool
+
 >>> pd.IntervalIndex.from_tuples([(0,2)]).piso.contains(1, include_index=False)
 array([[ True]])
 """
diff --git a/piso/docstrings/intervalarray.py b/piso/docstrings/intervalarray.py
index 1b5fdcf..df8b717 100644
--- a/piso/docstrings/intervalarray.py
+++ b/piso/docstrings/intervalarray.py
@@ -596,7 +596,9 @@ def join_params(list_of_param_strings):
 
 
 coverage_docstring = """
-Calculates the fraction of a domain covered by a collection of intervals.
+Calculates the fraction of a domain (or possibly multiple domains) covered by a collection of intervals.
+
+Calculation over multiple domains is only possible when *bins* = True.
 
 Parameters
 ----------
@@ -609,11 +611,19 @@ def join_params(list_of_param_strings):
     If *domain* is a tuple then it should specify lower and upper bounds, and be equivalent to a
     :class:`pandas.Interval`.  If *domain* is a :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray`
     then the intervals it contains define a possibly disconnected domain.
+    If *bins* = True then *domain* must be :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray` with disjoint intervals.
+bins : boolean, default False
+    If False, then the *domain* is interpreted as a single domain and returns one value.
+    If True, then *domain* is interpreted as disjoint bins over which coverage is calculated for each.
+how : {"fraction", "sum"}, default "fraction"
+    If *how* = "fraction" then the result is a fraction of the size of the domain.
+    If *how* = "sum" then the result is the length of the domain covered.
+
+    .. versionadded:: 0.8.0
 
 Returns
 ----------
-float
-    a number between 0 and 1, representing the fraction of the domain covered.
+float or :class:`pandas.Series`
 
 Examples
 -----------
@@ -634,11 +644,24 @@ def join_params(list_of_param_strings):
 >>> piso.coverage(arr1, pd.Interval(-10, 10))
 0.3
 
+>>> piso.coverage(arr1, pd.Interval(-10, 10), how="sum")
+6
+
 >>> domain = pd.arrays.IntervalArray.from_tuples(
-...     [(4,6), (7, 9)],
+...     [(4,6), (7, 10)],
 ... )
 >>> piso.coverage(arr1, domain)
-0.5
+0.4
+
+>>> piso.coverage(arr1, domain, bins=True)
+(4, 6]     0.500000
+(7, 10]    0.333333
+dtype: float64
+
+>>> piso.coverage(arr1, domain, bins=True, how="sum")
+(4, 6]     1.0
+(7, 10]    1.0
+dtype: float64
 """
 
 
@@ -743,12 +766,16 @@ def join_params(list_of_param_strings):
 
 
 contains_docstring = """
-Check pair-wise if a set of intervals contains a set of values
+Evaluates the intersection of a set of intervals with a set of points.
 
-Returns a 2-dimensional boolean mask *M* of shape *(m,n)* where *m* is the number of intervals, and
-*n* is the number of points.  The element in the i-th row and j-th column is True if
+The format of the result is dependent on the *result* parameter.  If *result = "cartesian"* then the
+the function returns a 2-dimensional boolean mask *M* of shape *(m,n)* where *m* is the number of
+intervals, and *n* is the number of points.  The element in the i-th row and j-th column is True if
 the i-th interval contains the j-th point.
 
+If *result = "points"* then the result is a 1-dimensional boolean mask of length *n*.
+If *result = "intervals"* then the result is a 1-dimensional boolean mask of length *m*.
+
 Parameters
 ----------
 interval_array : :class:`pandas.IntervalIndex` or :class:`pandas.arrays.IntervalArray`
@@ -758,11 +785,20 @@ def join_params(list_of_param_strings):
 include_index : boolean, default True
     Indicates whether to return a :class:`numpy.ndarray` or :class:`pandas.DataFrame` indexed
     by *interval_array* and column names equal to *x*
+result : {"cartesian", "points", "intervals"}, default "cartesian"
+    If *result* = "cartesian" then the result will be two dimensional, otherwise it will be
+    one dimensional.
+how : {"any", "all"}, default "any"
+    Only relevant if *result* is not "cartesian".  This parameter indicates either:
+    - a True value means any or all points are contained within an interval, or
+    - a True value means any or all intervals contained a point.
+    Which of these interpretations is dependent on the *result* parameter.
+
 
 Returns
 ----------
-:class:`numpy.ndarray` or :class:`pandas.DataFrame`
-    Two dimensional and boolean valued.  Return type dependent on *include_index*.
+:class:`numpy.ndarray`, :class:`pandas.DataFrame` or :class:`pandas.Series`
+    One, or two, dimensional and boolean valued.  Return type dependent on *include_index* and *result*.
 
 Examples
 -----------
@@ -788,6 +824,25 @@ def join_params(list_of_param_strings):
 array([[False,  True,  True,  True],
        [False, False,  True,  True]])
 
+>>> piso.contains(arr, [0, 1, 3, 4], result="points")
+0    False
+1     True
+3     True
+4     True
+dtype: bool
+
+>>> piso.contains(arr, [0, 1, 3, 4], result="points", how="all")
+0    False
+1    False
+3     True
+4     True
+dtype: bool
+
+>>> piso.contains(arr, [0, 1, 3, 4], result="intervals")
+(0, 4]    True
+(2, 5]    True
+dtype: bool
+
 >>> piso.contains(pd.IntervalIndex.from_tuples([(0,2)]), 1, include_index=False)
 array([[ True]])
 """
diff --git a/piso/intervalarray.py b/piso/intervalarray.py
index 692360d..3650946 100644
--- a/piso/intervalarray.py
+++ b/piso/intervalarray.py
@@ -178,15 +178,30 @@ def _get_domain_tuple(interval_array, domain):
 
 
 @Appender(docstrings.coverage_docstring, join="\n", indents=1)
-def coverage(interval_array, domain=None):
+def coverage(interval_array, domain=None, bins=False, how="fraction"):
+    assert how in ("fraction", "sum")
+
+    def _validate_domain():
+        if not isinstance(domain, (pd.IntervalIndex, pd.arrays.IntervalArray)):
+            raise ValueError(
+                "If bins argument is true then domain parameter must be a pandas IntervalIndex or IntervalArray."
+            )
+        if not isdisjoint(domain):
+            raise ValueError(
+                "If bins argument is true then domain parameter must represent disjoint intervals."
+            )
+
     stepfunction = _interval_x_to_stairs(interval_array).make_boolean()
-    if isinstance(domain, (pd.IntervalIndex, pd.arrays.IntervalArray)):
+    if bins:
+        _validate_domain()
+        adjusted_domain = stepfunction.slice(pd.IntervalIndex(domain))
+    elif isinstance(domain, (pd.IntervalIndex, pd.arrays.IntervalArray)):
         domain = _interval_x_to_stairs(domain)
-        result = stepfunction.where(domain).mean()
+        adjusted_domain = stepfunction.where(domain)
     else:
         domain = _get_domain_tuple(interval_array, domain)
-        result = stepfunction.clip(*domain).mean()
-    return result
+        adjusted_domain = stepfunction.clip(*domain)
+    return adjusted_domain.mean() if how == "fraction" else adjusted_domain.integral()
 
 
 @Appender(docstrings.complement_docstring, join="\n", indents=1)
@@ -203,7 +218,9 @@ def complement(interval_array, domain=None):
 
 
 @Appender(docstrings.contains_docstring, join="\n", indents=1)
-def contains(interval_array, x, include_index=True):
+def contains(interval_array, x, include_index=True, result="cartesian", how="any"):
+    assert result in ("cartesian", "intervals", "points")
+    assert how in ("any", "all")
     starts = interval_array.left.values
     ends = interval_array.right.values
     x = pd.Series(x).values
@@ -213,10 +230,18 @@ def contains(interval_array, x, include_index=True):
     left_compare = (
         np.greater_equal if interval_array.closed in ("left", "both") else np.greater
     )
-    result = (right_compare.outer(x, ends) & left_compare.outer(x, starts)).transpose()
+    calc = (right_compare.outer(x, ends) & left_compare.outer(x, starts)).transpose()
+    if result != "cartesian":
+        logical_method = np.logical_or if how == "any" else np.logical_and
+        axis = 0 if result == "points" else 1
+        calc = logical_method.reduce(calc, axis=axis)
     if include_index:
-        return pd.DataFrame(result, index=interval_array, columns=x)
-    return result
+        if result == "cartesian":
+            calc = pd.DataFrame(calc, index=interval_array, columns=x)
+        else:
+            index = x if result == "points" else interval_array
+            calc = pd.Series(calc, index=index)
+    return calc
 
 
 @Appender(docstrings.split_docstring, join="\n", indents=1)
diff --git a/poetry.lock b/poetry.lock
index 152f245..1bd444b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -16,20 +16,37 @@ python-versions = "*"
 
 [[package]]
 name = "argon2-cffi"
-version = "21.1.0"
+version = "21.3.0"
 description = "The secure Argon2 password hashing algorithm."
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [package.dependencies]
-cffi = ">=1.0.0"
+argon2-cffi-bindings = "*"
+dataclasses = {version = "*", markers = "python_version < \"3.7\""}
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "furo", "wheel", "pre-commit"]
-docs = ["sphinx", "furo"]
+dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"]
+docs = ["sphinx", "sphinx-notfound-page", "furo"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
+[[package]]
+name = "argon2-cffi-bindings"
+version = "21.2.0"
+description = "Low-level CFFI bindings for Argon2"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+cffi = ">=1.0.1"
+
+[package.extras]
+dev = ["pytest", "cogapp", "pre-commit", "wheel"]
+tests = ["pytest"]
+
 [[package]]
 name = "async-generator"
 version = "1.10"
@@ -48,17 +65,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "attrs"
-version = "21.2.0"
+version = "21.4.0"
 description = "Classes Without Boilerplate"
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
 docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"]
 
 [[package]]
 name = "babel"
@@ -79,24 +96,9 @@ category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "backports.entry-points-selectable"
-version = "1.1.0"
-description = "Compatibility shim providing selectable entry points for older implementations"
-category = "dev"
-optional = false
-python-versions = ">=2.7"
-
-[package.dependencies]
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-
-[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-flake8", "pytest-cov", "pytest-black (>=0.3.7)", "pytest-mypy", "pytest-checkdocs (>=2.4)", "pytest-enabler (>=1.0.1)"]
-
 [[package]]
 name = "black"
-version = "21.9b0"
+version = "21.12b0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
@@ -108,9 +110,8 @@ dataclasses = {version = ">=0.6", markers = "python_version < \"3.7\""}
 mypy-extensions = ">=0.4.3"
 pathspec = ">=0.9.0,<1"
 platformdirs = ">=2"
-regex = ">=2020.1.8"
 tomli = ">=0.2.6,<2.0.0"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
+typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
 typing-extensions = [
     {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
     {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
@@ -118,9 +119,9 @@ typing-extensions = [
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
+d = ["aiohttp (>=3.7.4)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-python2 = ["typed-ast (>=1.4.2)"]
+python2 = ["typed-ast (>=1.4.3)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
@@ -138,7 +139,7 @@ webencodings = "*"
 
 [[package]]
 name = "certifi"
-version = "2021.5.30"
+version = "2021.10.8"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "dev"
 optional = false
@@ -146,7 +147,7 @@ python-versions = "*"
 
 [[package]]
 name = "cffi"
-version = "1.14.6"
+version = "1.15.0"
 description = "Foreign Function Interface for Python calling C code."
 category = "dev"
 optional = false
@@ -165,7 +166,7 @@ python-versions = ">=3.6.1"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.0.6"
+version = "2.0.10"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "dev"
 optional = false
@@ -176,7 +177,7 @@ unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
-version = "8.0.1"
+version = "8.0.3"
 description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
@@ -196,7 +197,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "coverage"
-version = "6.0.2"
+version = "6.2"
 description = "Code coverage measurement for Python"
 category = "dev"
 optional = false
@@ -210,14 +211,11 @@ toml = ["tomli"]
 
 [[package]]
 name = "cycler"
-version = "0.10.0"
+version = "0.11.0"
 description = "Composable style cycles"
 category = "main"
 optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "dataclasses"
@@ -229,7 +227,7 @@ python-versions = ">=3.6, <3.7"
 
 [[package]]
 name = "decorator"
-version = "5.1.0"
+version = "5.1.1"
 description = "Decorators for Humans"
 category = "dev"
 optional = false
@@ -245,7 +243,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "distlib"
-version = "0.3.3"
+version = "0.3.4"
 description = "Distribution utilities"
 category = "dev"
 optional = false
@@ -269,7 +267,7 @@ python-versions = ">=2.7"
 
 [[package]]
 name = "filelock"
-version = "3.3.0"
+version = "3.4.1"
 description = "A platform independent file lock."
 category = "dev"
 optional = false
@@ -281,32 +279,32 @@ testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-co
 
 [[package]]
 name = "flake8"
-version = "3.9.2"
+version = "4.0.1"
 description = "the modular source code checker: pep8 pyflakes and co"
 category = "dev"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.6"
 
 [package.dependencies]
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+importlib-metadata = {version = "<4.3", markers = "python_version < \"3.8\""}
 mccabe = ">=0.6.0,<0.7.0"
-pycodestyle = ">=2.7.0,<2.8.0"
-pyflakes = ">=2.3.0,<2.4.0"
+pycodestyle = ">=2.8.0,<2.9.0"
+pyflakes = ">=2.4.0,<2.5.0"
 
 [[package]]
 name = "identify"
-version = "2.3.0"
+version = "2.4.4"
 description = "File identification library for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.6.1"
 
 [package.extras]
-license = ["editdistance-s"]
+license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.2"
+version = "3.3"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "dev"
 optional = false
@@ -314,7 +312,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "imagesize"
-version = "1.2.0"
+version = "1.3.0"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 category = "dev"
 optional = false
@@ -322,7 +320,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "importlib-metadata"
-version = "4.8.1"
+version = "4.2.0"
 description = "Read metadata from Python packages"
 category = "dev"
 optional = false
@@ -334,12 +332,11 @@ zipp = ">=0.5"
 
 [package.extras]
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-perf = ["ipython"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
 
 [[package]]
 name = "importlib-resources"
-version = "5.2.2"
+version = "5.2.3"
 description = "Read resources from Python packages"
 category = "dev"
 optional = false
@@ -350,7 +347,7 @@ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
@@ -362,7 +359,7 @@ python-versions = "*"
 
 [[package]]
 name = "ipykernel"
-version = "5.5.5"
+version = "5.5.6"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
@@ -371,6 +368,7 @@ python-versions = ">=3.5"
 [package.dependencies]
 appnope = {version = "*", markers = "platform_system == \"Darwin\""}
 ipython = ">=5.0.0"
+ipython-genutils = "*"
 jupyter-client = "*"
 tornado = ">=4.2"
 traitlets = ">=4.1.0"
@@ -380,7 +378,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
 
 [[package]]
 name = "ipython"
-version = "7.16.1"
+version = "7.16.3"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
@@ -391,7 +389,7 @@ appnope = {version = "*", markers = "sys_platform == \"darwin\""}
 backcall = "*"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
-jedi = ">=0.10"
+jedi = ">=0.10,<=0.17.2"
 pexpect = {version = "*", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
 prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
@@ -419,7 +417,7 @@ python-versions = "*"
 
 [[package]]
 name = "isort"
-version = "5.9.3"
+version = "5.10.1"
 description = "A Python utility / library to sort Python imports."
 category = "dev"
 optional = false
@@ -433,22 +431,22 @@ plugins = ["setuptools"]
 
 [[package]]
 name = "jedi"
-version = "0.18.0"
+version = "0.17.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.dependencies]
-parso = ">=0.8.0,<0.9.0"
+parso = ">=0.7.0,<0.8.0"
 
 [package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
+qa = ["flake8 (==3.7.9)"]
+testing = ["Django (<3.1)", "colorama", "docopt", "pytest (>=3.9.0,<5.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.0.2"
+version = "3.0.3"
 description = "A very fast and expressive template engine."
 category = "dev"
 optional = false
@@ -479,7 +477,7 @@ format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jupyter-client"
-version = "7.0.5"
+version = "7.1.2"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
@@ -500,7 +498,7 @@ test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-comm
 
 [[package]]
 name = "jupyter-core"
-version = "4.8.1"
+version = "4.9.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
@@ -591,7 +589,7 @@ python-versions = "*"
 
 [[package]]
 name = "nbclient"
-version = "0.5.4"
+version = "0.5.9"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "dev"
 optional = false
@@ -605,9 +603,9 @@ nest-asyncio = "*"
 traitlets = ">=4.2"
 
 [package.extras]
-dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
+dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
 sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
-test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
+test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
 
 [[package]]
 name = "nbconvert"
@@ -659,7 +657,7 @@ test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
 
 [[package]]
 name = "nbsphinx"
-version = "0.8.7"
+version = "0.8.8"
 description = "Jupyter Notebook Tools for Sphinx"
 category = "dev"
 optional = false
@@ -675,7 +673,7 @@ traitlets = "*"
 
 [[package]]
 name = "nest-asyncio"
-version = "1.5.1"
+version = "1.5.4"
 description = "Patch asyncio to allow nested event loops"
 category = "dev"
 optional = false
@@ -691,7 +689,7 @@ python-versions = "*"
 
 [[package]]
 name = "notebook"
-version = "6.4.4"
+version = "6.4.8"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -706,9 +704,10 @@ jupyter-client = ">=5.3.4"
 jupyter-core = ">=4.6.1"
 nbconvert = "*"
 nbformat = "*"
+nest-asyncio = ">=1.5"
 prometheus-client = "*"
 pyzmq = ">=17"
-Send2Trash = ">=1.5.0"
+Send2Trash = ">=1.8.0"
 terminado = ">=0.8.3"
 tornado = ">=6.1"
 traitlets = ">=4.2.1"
@@ -743,14 +742,14 @@ testing = ["matplotlib", "pytest", "pytest-cov"]
 
 [[package]]
 name = "packaging"
-version = "21.0"
+version = "21.3"
 description = "Core utilities for Python packages"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-pyparsing = ">=2.0.2"
+pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
 [[package]]
 name = "pandas"
@@ -778,15 +777,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "parso"
-version = "0.8.2"
+version = "0.7.1"
 description = "A Python Parser"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
+testing = ["docopt", "pytest (>=3.0.7)"]
 
 [[package]]
 name = "pathspec"
@@ -817,7 +815,7 @@ python-versions = "*"
 
 [[package]]
 name = "pillow"
-version = "8.3.2"
+version = "8.4.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
@@ -852,7 +850,7 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "2.15.0"
+version = "2.17.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
@@ -862,7 +860,7 @@ python-versions = ">=3.6.1"
 cfgv = ">=2.0.0"
 identify = ">=1.0.0"
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-importlib-resources = {version = "*", markers = "python_version < \"3.7\""}
+importlib-resources = {version = "<5.3", markers = "python_version < \"3.7\""}
 nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 toml = "*"
@@ -870,11 +868,11 @@ virtualenv = ">=20.0.8"
 
 [[package]]
 name = "prometheus-client"
-version = "0.11.0"
+version = "0.13.1"
 description = "Python client for the Prometheus monitoring system."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.extras]
 twisted = ["twisted"]
@@ -900,23 +898,23 @@ python-versions = "*"
 
 [[package]]
 name = "py"
-version = "1.10.0"
+version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "pycodestyle"
-version = "2.7.0"
+version = "2.8.0"
 description = "Python style guide checker"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "pycparser"
-version = "2.20"
+version = "2.21"
 description = "C parser in Python"
 category = "dev"
 optional = false
@@ -924,7 +922,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pyflakes"
-version = "2.3.1"
+version = "2.4.0"
 description = "passive checker of Python programs"
 category = "dev"
 optional = false
@@ -932,7 +930,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pygments"
-version = "2.10.0"
+version = "2.11.2"
 description = "Pygments is a syntax highlighting package written in Python."
 category = "dev"
 optional = false
@@ -940,11 +938,14 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "pyparsing"
-version = "2.4.7"
+version = "3.0.7"
 description = "Python parsing module"
 category = "main"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = ">=3.6"
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pyrsistent"
@@ -1012,7 +1013,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "301"
+version = "303"
 description = "Python for Window Extensions"
 category = "dev"
 optional = false
@@ -1020,7 +1021,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "1.1.4"
+version = "2.0.1"
 description = "Pseudo terminal support for Windows from Python."
 category = "dev"
 optional = false
@@ -1028,11 +1029,11 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "pyyaml"
-version = "5.4.1"
+version = "6.0"
 description = "YAML parser and emitter for Python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "pyzmq"
@@ -1046,17 +1047,9 @@ python-versions = ">=3.6"
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 py = {version = "*", markers = "implementation_name == \"pypy\""}
 
-[[package]]
-name = "regex"
-version = "2021.9.30"
-description = "Alternative regular expression module, to replace re."
-category = "dev"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "requests"
-version = "2.26.0"
+version = "2.27.1"
 description = "Python HTTP for Humans."
 category = "dev"
 optional = false
@@ -1095,7 +1088,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "snowballstemmer"
-version = "2.1.0"
+version = "2.2.0"
 description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
 category = "dev"
 optional = false
@@ -1103,7 +1096,7 @@ python-versions = "*"
 
 [[package]]
 name = "sphinx"
-version = "4.2.0"
+version = "4.3.2"
 description = "Python documentation generator"
 category = "dev"
 optional = false
@@ -1129,7 +1122,7 @@ sphinxcontrib-serializinghtml = ">=1.1.5"
 
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
-lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.900)", "docutils-stubs", "types-typed-ast", "types-pkg-resources", "types-requests"]
+lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.920)", "docutils-stubs", "types-typed-ast", "types-pkg-resources", "types-requests"]
 test = ["pytest", "pytest-cov", "html5lib", "cython", "typed-ast"]
 
 [[package]]
@@ -1221,7 +1214,7 @@ test = ["pytest"]
 
 [[package]]
 name = "staircase"
-version = "2.1.0"
+version = "2.3.0"
 description = "A data analysis package based on modelling and manipulation of mathematical step functions. Strongly aligned with pandas."
 category = "main"
 optional = false
@@ -1235,11 +1228,11 @@ pytz = "*"
 
 [[package]]
 name = "terminado"
-version = "0.12.1"
+version = "0.13.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = "*"
 
 [package.dependencies]
 ptyprocess = {version = "*", markers = "os_name != \"nt\""}
@@ -1270,7 +1263,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "tomli"
-version = "1.2.1"
+version = "1.2.3"
 description = "A lil' TOML parser"
 category = "dev"
 optional = false
@@ -1286,7 +1279,7 @@ python-versions = ">= 3.5"
 
 [[package]]
 name = "tox"
-version = "3.24.4"
+version = "3.24.5"
 description = "tox is a generic virtualenv management and test command line tool"
 category = "dev"
 optional = false
@@ -1305,7 +1298,7 @@ virtualenv = ">=16.0.0,<20.0.0 || >20.0.0,<20.0.1 || >20.0.1,<20.0.2 || >20.0.2,
 
 [package.extras]
 docs = ["pygments-github-lexers (>=0.0.5)", "sphinx (>=2.0.0)", "sphinxcontrib-autoprogram (>=0.1.5)", "towncrier (>=18.5.0)"]
-testing = ["flaky (>=3.4.0)", "freezegun (>=0.3.11)", "psutil (>=5.6.1)", "pytest (>=4.0.0)", "pytest-cov (>=2.5.1)", "pytest-mock (>=1.10.0)", "pytest-randomly (>=1.0.0)", "pytest-xdist (>=1.22.2)", "pathlib2 (>=2.3.3)"]
+testing = ["flaky (>=3.4.0)", "freezegun (>=0.3.11)", "pytest (>=4.0.0)", "pytest-cov (>=2.5.1)", "pytest-mock (>=1.10.0)", "pytest-randomly (>=1.0.0)", "psutil (>=5.6.1)", "pathlib2 (>=2.3.3)"]
 
 [[package]]
 name = "traitlets"
@@ -1325,23 +1318,23 @@ test = ["pytest", "mock"]
 
 [[package]]
 name = "typed-ast"
-version = "1.4.3"
+version = "1.5.2"
 description = "a fork of Python 2 and 3 ast modules with type comment support"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "3.10.0.2"
-description = "Backported and Experimental Type Hints for Python 3.5+"
+version = "4.0.1"
+description = "Backported and Experimental Type Hints for Python 3.6+"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "urllib3"
-version = "1.26.7"
+version = "1.26.8"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "dev"
 optional = false
@@ -1354,23 +1347,22 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.8.1"
+version = "20.13.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [package.dependencies]
-"backports.entry-points-selectable" = ">=1.0.4"
 distlib = ">=0.3.1,<1"
-filelock = ">=3.0.0,<4"
+filelock = ">=3.2,<4"
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 importlib-resources = {version = ">=1.0", markers = "python_version < \"3.7\""}
 platformdirs = ">=2,<3"
 six = ">=1.9.0,<2"
 
 [package.extras]
-docs = ["proselint (>=0.10.2)", "sphinx (>=3)", "sphinx-argparse (>=0.2.5)", "sphinx-rtd-theme (>=0.4.3)", "towncrier (>=19.9.0rc1)"]
+docs = ["proselint (>=0.10.2)", "sphinx (>=3)", "sphinx-argparse (>=0.2.5)", "sphinx-rtd-theme (>=0.4.3)", "towncrier (>=21.3)"]
 testing = ["coverage (>=4)", "coverage-enable-subprocess (>=1)", "flaky (>=3)", "pytest (>=4)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.1)", "pytest-mock (>=2)", "pytest-randomly (>=1)", "pytest-timeout (>=1)", "packaging (>=20.0)"]
 
 [[package]]
@@ -1419,17 +1411,31 @@ appnope = [
     {file = "appnope-0.1.2.tar.gz", hash = "sha256:dd83cd4b5b460958838f6eb3000c660b1f9caf2a5b1de4264e941512f603258a"},
 ]
 argon2-cffi = [
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diff --git a/pyproject.toml b/pyproject.toml
index 27a2100..1318c40 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ build-backend = "poetry.masonry.api"
 
 [tool.poetry]
 name = "piso"
-version = "0.7.0"
+version = "0.8.0"
 description = "Pandas Interval Set Operations: methods for set operations, analytics, lookups and joins on pandas' Interval, IntervalArray and IntervalIndex"
 readme = "README.md"
 authors = ["Riley Clement <venaturum@gmail.com>"]
diff --git a/tests/test_single_interval_array.py b/tests/test_single_interval_array.py
index 7cd41e4..3ffb059 100644
--- a/tests/test_single_interval_array.py
+++ b/tests/test_single_interval_array.py
@@ -39,12 +39,12 @@ def get_package_method(function):
     }[function]
 
 
-def perform_op(*args, how, function, **kwargs):
-    # how = "supplied, accessor, or package"
-    if how == "accessor":
+def perform_op(*args, method, function, **kwargs):
+    # method = "supplied, accessor, or package"
+    if method == "accessor":
         self, *args = args
         return get_accessor_method(self, function)(*args, **kwargs)
-    elif how == "package":
+    elif method == "package":
         return get_package_method(function)(*args, **kwargs)
     else:
         return function(*args, **kwargs)
@@ -119,16 +119,16 @@ def assert_interval_array_equal(interval_array, expected, interval_index):
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_union(closed, interval_index, return_type, how):
+def test_union(closed, interval_index, return_type, method):
     interval_array = make_ia1(interval_index, closed)
     # result = piso_intervalarray.union(interval_array, return_type)
     result = perform_op(
         interval_array,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.union,
     )
     expected = pd.arrays.IntervalArray.from_tuples(
@@ -158,17 +158,17 @@ def test_union(closed, interval_index, return_type, how):
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 def test_intersection_overlaps_all_empty_result(
-    closed, interval_index, return_type, how
+    closed, interval_index, return_type, method
 ):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.intersection,
     )
     expected = pd.arrays.IntervalArray([], closed=closed)
@@ -195,17 +195,17 @@ def test_intersection_overlaps_all_empty_result(
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 def test_intersection_overlaps_all_nonempty_result(
-    closed, interval_index, return_type, how
+    closed, interval_index, return_type, method
 ):
     interval_array = make_ia2(interval_index, closed=closed)
     result = perform_op(
         interval_array,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.intersection,
     )
     expected = pd.arrays.IntervalArray.from_tuples([(3, 4)], closed=closed)
@@ -232,16 +232,16 @@ def test_intersection_overlaps_all_nonempty_result(
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_intersection_overlaps_2(closed, interval_index, return_type, how):
+def test_intersection_overlaps_2(closed, interval_index, return_type, method):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         min_overlaps=2,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.intersection,
     )
     expected = pd.arrays.IntervalArray.from_tuples([(2, 5)], closed=closed)
@@ -268,16 +268,16 @@ def test_intersection_overlaps_2(closed, interval_index, return_type, how):
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_intersection_overlaps_3(closed, interval_index, return_type, how):
+def test_intersection_overlaps_3(closed, interval_index, return_type, method):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         min_overlaps=3,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.intersection,
     )
     expected = pd.arrays.IntervalArray.from_tuples([(3, 4)], closed=closed)
@@ -304,15 +304,15 @@ def test_intersection_overlaps_3(closed, interval_index, return_type, how):
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_symmetric_difference(closed, interval_index, return_type, how):
+def test_symmetric_difference(closed, interval_index, return_type, method):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.symmetric_difference,
     )
     expected = pd.arrays.IntervalArray.from_tuples(
@@ -342,16 +342,18 @@ def test_symmetric_difference(closed, interval_index, return_type, how):
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_symmetric_difference_min_overlaps_3(closed, interval_index, return_type, how):
+def test_symmetric_difference_min_overlaps_3(
+    closed, interval_index, return_type, method
+):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         min_overlaps=3,
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.symmetric_difference,
     )
     expected = pd.arrays.IntervalArray.from_tuples(
@@ -381,18 +383,18 @@ def test_symmetric_difference_min_overlaps_3(closed, interval_index, return_type
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 def test_symmetric_difference_min_overlaps_all_1(
-    closed, interval_index, return_type, how
+    closed, interval_index, return_type, method
 ):
     interval_array = make_ia1(interval_index, closed)
     result = perform_op(
         interval_array,
         min_overlaps="all",
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.symmetric_difference,
     )
     expected = pd.arrays.IntervalArray.from_tuples(
@@ -422,18 +424,18 @@ def test_symmetric_difference_min_overlaps_all_1(
     ["infer", pd.arrays.IntervalArray, pd.IntervalIndex],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 def test_symmetric_difference_min_overlaps_all_2(
-    closed, interval_index, return_type, how
+    closed, interval_index, return_type, method
 ):
     interval_array = make_ia2(interval_index, closed)
     result = perform_op(
         interval_array,
         min_overlaps="all",
         return_type=return_type,
-        how=how,
+        method=method,
         function=piso_intervalarray.symmetric_difference,
     )
     expected = pd.arrays.IntervalArray.from_tuples(
@@ -498,16 +500,18 @@ def make_date(x):
     ["timestamp", "numpy", "datetime", "timedelta", None],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 def test_isdisjoint_left_right_neither(
-    interval_index, tuples, expected, closed, date_type, how
+    interval_index, tuples, expected, closed, date_type, method
 ):
 
     interval_array = make_ia_from_tuples(interval_index, tuples, closed)
     interval_array = map_to_dates(interval_array, date_type)
-    result = perform_op(interval_array, how=how, function=piso_intervalarray.isdisjoint)
+    result = perform_op(
+        interval_array, method=method, function=piso_intervalarray.isdisjoint
+    )
     assert result == expected
 
 
@@ -535,15 +539,16 @@ def test_isdisjoint_left_right_neither(
     ["timestamp", "numpy", "datetime", "timedelta", None],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_isdisjoint_both(interval_index, tuples, expected, date_type, how):
+def test_isdisjoint_both(interval_index, tuples, expected, date_type, method):
 
     interval_array = make_ia_from_tuples(interval_index, tuples, "both")
     interval_array = map_to_dates(interval_array, date_type)
-    print(interval_array)
-    result = perform_op(interval_array, how=how, function=piso_intervalarray.isdisjoint)
+    result = perform_op(
+        interval_array, method=method, function=piso_intervalarray.isdisjoint
+    )
     assert result == expected
 
 
@@ -552,14 +557,14 @@ def test_isdisjoint_both(interval_index, tuples, expected, date_type, how):
     [True, False],
 )
 @pytest.mark.parametrize(
-    "domain, expected",
+    "domain, expected_fraction, expected_sum",
     [
-        (None, 10 / 12),
-        ((0, 10), 0.8),
-        (pd.Interval(0, 10), 0.8),
-        ((15, 20), 0),
-        (pd.IntervalIndex.from_tuples([(0, 6), (10, 12)]), 1),
-        (pd.IntervalIndex.from_tuples([(6, 7), (9, 10)]), 0),
+        (None, 10 / 12, 10),
+        ((0, 10), 0.8, 8),
+        (pd.Interval(0, 10), 0.8, 8),
+        ((15, 20), 0, 0),
+        (pd.IntervalIndex.from_tuples([(0, 6), (10, 12)]), 1, 8),
+        (pd.IntervalIndex.from_tuples([(6, 7), (9, 10)]), 0, 0),
     ],
 )
 @pytest.mark.parametrize(
@@ -567,19 +572,27 @@ def test_isdisjoint_both(interval_index, tuples, expected, date_type, how):
     ["left", "right"],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_coverage(interval_index, domain, expected, closed, how):
+@pytest.mark.parametrize(
+    "how",
+    ["fraction", "sum"],
+)
+def test_coverage(
+    interval_index, domain, expected_fraction, expected_sum, closed, method, how
+):
     if hasattr(domain, "set_closed"):
         domain = domain.set_closed(closed)
     ia = make_ia1(interval_index, closed)
     result = perform_op(
         ia,
-        how=how,
+        method=method,
         function=piso_intervalarray.coverage,
         domain=domain,
+        how=how,
     )
+    expected = expected_fraction if how == "fraction" else expected_sum
     assert result == expected
 
 
@@ -587,19 +600,60 @@ def test_coverage(interval_index, domain, expected, closed, how):
     "interval_index",
     [True, False],
 )
+@pytest.mark.parametrize(
+    "domain_interval_index",
+    [True, False],
+)
 @pytest.mark.parametrize(
     "closed",
     ["left", "right"],
 )
+@pytest.mark.parametrize(
+    "method",
+    ["supplied", "accessor", "package"],
+)
 @pytest.mark.parametrize(
     "how",
+    ["fraction", "sum"],
+)
+def test_coverage_bins(interval_index, domain_interval_index, closed, method, how):
+    domain = pd.arrays.IntervalArray.from_tuples(
+        [(0, 2), (3, 7), (8, 10)],
+        closed=closed,
+    )
+    if domain_interval_index:
+        domain = pd.IntervalIndex(domain)
+    ia = make_ia1(interval_index, closed)
+    result = perform_op(
+        ia,
+        method=method,
+        function=piso_intervalarray.coverage,
+        domain=domain,
+        bins=True,
+        how=how,
+    )
+    values = [1, 0.75, 0.5] if how == "fraction" else [2.0, 3.0, 1.0]
+    expected = pd.Series(values, index=domain)
+    pd.testing.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "interval_index",
+    [True, False],
+)
+@pytest.mark.parametrize(
+    "closed",
+    ["left", "right"],
+)
+@pytest.mark.parametrize(
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_coverage_edge_case(interval_index, closed, how):
+def test_coverage_edge_case(interval_index, closed, method):
     ia = make_ia_from_tuples(interval_index, [], closed)
     result = perform_op(
         ia,
-        how=how,
+        method=method,
         function=piso_intervalarray.coverage,
         domain=None,
     )
@@ -615,21 +669,71 @@ def test_coverage_edge_case(interval_index, closed, how):
     ["left", "right"],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_coverage_exception(interval_index, closed, how):
+def test_coverage_exception(interval_index, closed, method):
     domain = (1, 2, 3)
     with pytest.raises(ValueError):
         ia = make_ia1(interval_index, closed)
         perform_op(
             ia,
-            how=how,
+            method=method,
             function=piso_intervalarray.coverage,
             domain=domain,
         )
 
 
+@pytest.mark.parametrize(
+    "interval_index",
+    [True, False],
+)
+@pytest.mark.parametrize(
+    "closed",
+    ["left", "right"],
+)
+@pytest.mark.parametrize(
+    "method",
+    ["supplied", "accessor", "package"],
+)
+def test_coverage_exception2(interval_index, closed, method):
+    domain = (1, 2)
+    with pytest.raises(ValueError):
+        ia = make_ia1(interval_index, closed)
+        perform_op(
+            ia,
+            method=method,
+            function=piso_intervalarray.coverage,
+            domain=domain,
+            bins=True,
+        )
+
+
+@pytest.mark.parametrize(
+    "interval_index",
+    [True, False],
+)
+@pytest.mark.parametrize(
+    "closed",
+    ["left", "right"],
+)
+@pytest.mark.parametrize(
+    "method",
+    ["supplied", "accessor", "package"],
+)
+def test_coverage_exception3(interval_index, closed, method):
+    domain = pd.IntervalIndex.from_tuples([(1, 3), (2, 4)])
+    with pytest.raises(ValueError):
+        ia = make_ia1(interval_index, closed)
+        perform_op(
+            ia,
+            method=method,
+            function=piso_intervalarray.coverage,
+            domain=domain,
+            bins=True,
+        )
+
+
 @pytest.mark.parametrize(
     "interval_index",
     [True, False],
@@ -652,17 +756,17 @@ def test_coverage_exception(interval_index, closed, how):
     ["left", "right"],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
-def test_complement(interval_index, domain, expected_tuples, closed, how):
+def test_complement(interval_index, domain, expected_tuples, closed, method):
     if hasattr(domain, "set_closed"):
         domain = domain.set_closed(closed)
     ia = make_ia1(interval_index, closed)
     expected = make_ia_from_tuples(False, expected_tuples, closed)
     result = perform_op(
         ia,
-        how=how,
+        method=method,
         function=piso_intervalarray.complement,
         domain=domain,
     )
@@ -711,20 +815,20 @@ def test_complement(interval_index, domain, expected_tuples, closed, how):
     ],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 @pytest.mark.parametrize(
     "include_index",
     [True, False],
 )
-def test_contains(interval_index, x, closed, expected, how, include_index):
+def test_contains(interval_index, x, closed, expected, method, include_index):
     ia = make_ia2(interval_index, closed)
     result = perform_op(
         ia,
         x,
         include_index,
-        how=how,
+        method=method,
         function=piso_intervalarray.contains,
     )
     if include_index:
@@ -735,6 +839,77 @@ def test_contains(interval_index, x, closed, expected, how, include_index):
         assert (result == expected_result).all()
 
 
+@pytest.mark.parametrize(
+    "interval_index",
+    [True, False],
+)
+@pytest.mark.parametrize(
+    "x, closed, expected",
+    [
+        (0, "left", [[True], [False], [False]]),
+        (0, "right", [[False], [False], [False]]),
+        (0, "both", [[True], [False], [False]]),
+        (0, "neither", [[False], [False], [False]]),
+        (6, "left", [[False], [False], [False]]),
+        (6, "right", [[False], [False], [True]]),
+        (6, "neither", [[False], [False], [False]]),
+        (6, "both", [[False], [False], [True]]),
+        (
+            [2, 4, 5],
+            "left",
+            [[True, False, False], [True, True, False], [False, True, True]],
+        ),
+        (
+            [2, 4, 5],
+            "right",
+            [[True, True, False], [False, True, True], [False, True, True]],
+        ),
+        (
+            [2, 4, 5],
+            "both",
+            [[True, True, False], [True, True, True], [False, True, True]],
+        ),
+        (
+            [2, 4, 5],
+            "neither",
+            [[True, False, False], [False, True, False], [False, True, True]],
+        ),
+    ],
+)
+@pytest.mark.parametrize(
+    "method",
+    ["supplied", "accessor", "package"],
+)
+@pytest.mark.parametrize(
+    "include_index",
+    [True, False],
+)
+@pytest.mark.parametrize("result_type", ["points", "intervals"])
+@pytest.mark.parametrize("how", ["any", "all"])
+def test_contains_non_cartesian(
+    interval_index, x, closed, expected, method, include_index, result_type, how
+):
+    ia = make_ia2(interval_index, closed)
+    result = perform_op(
+        ia,
+        x,
+        include_index,
+        method=method,
+        function=piso_intervalarray.contains,
+        result=result_type,
+        how=how,
+    )
+    axis = 0 if result_type == "points" else 1
+    logical_func = np.all if how == "all" else np.any
+    expected_result = logical_func(np.array(expected), axis=axis)
+    if include_index:
+        index = np.array(x, ndmin=1) if result_type == "points" else ia
+        expected_result = pd.Series(expected_result, index=index)
+        pd.testing.assert_series_equal(result, expected_result, check_dtype=False)
+    else:
+        assert (result == expected_result).all()
+
+
 @pytest.mark.parametrize(
     "interval_index",
     [True, False],
@@ -756,14 +931,14 @@ def test_contains(interval_index, x, closed, expected, how, include_index):
     ["left", "right", "both", "neither"],
 )
 @pytest.mark.parametrize(
-    "how",
+    "method",
     ["supplied", "accessor", "package"],
 )
 @pytest.mark.parametrize(
     "date_type",
     ["timestamp", "numpy", "datetime", "timedelta", None],
 )
-def test_split(interval_index, x, expected_tuples, closed, how, date_type):
+def test_split(interval_index, x, expected_tuples, closed, method, date_type):
     ia = make_ia4(interval_index, closed)
     ia = map_to_dates(ia, date_type)
 
@@ -774,7 +949,7 @@ def test_split(interval_index, x, expected_tuples, closed, how, date_type):
     result = perform_op(
         ia,
         x,
-        how=how,
+        method=method,
         function=piso_intervalarray.split,
     )
     assert_interval_array_equal(