Repository: iuvbio/pandas_ods_reader (language: python)

Issue:
Improve error from invalid path
Hi,

I tried to use this project inside my application, but I am unable to get even the most basic example to work:
```
from pandas_ods_reader import read_ods

path = "home/test/example1.ods"
df = read_ods(path)
```

The error that gets thrown is:
`KeyError: '.ods'`  inside `ezodf/document.py", line 69, in __detect_mime_type`

Looking at the `ezodf` code, I am not sure how this is ever able to work:

The code in question is:
```
ext = os.path.splitext(file_manager.zipname)[1]
mime_type = MIMETYPES[ext]
```

And if we look into the MIMETYPES:
```
MIMETYPES = {
    'odt': "application/vnd.oasis.opendocument.text",
    'ott': "application/vnd.oasis.opendocument.text-template",
    'odg': "application/vnd.oasis.opendocument.graphics",
    'otg': "application/vnd.oasis.opendocument.graphics-template",
    'odp': "application/vnd.oasis.opendocument.presentation",
    'otp': "application/vnd.oasis.opendocument.presentation-template",
    'ods': "application/vnd.oasis.opendocument.spreadsheet",
    'ots': "application/vnd.oasis.opendocument.spreadsheet-template",
    'odc': "application/vnd.oasis.opendocument.chart",
    'otc': "application/vnd.oasis.opendocument.chart-template",
    'odi': "application/vnd.oasis.opendocument.image",
    'oti': "application/vnd.oasis.opendocument.image-template",
    'odf': "application/vnd.oasis.opendocument.formula",
    'otf': "application/vnd.oasis.opendocument.formula-template",
    'odm': "application/vnd.oasis.opendocument.text-master",
    'oth': "application/vnd.oasis.opendocument.text-web",
}
```
So the .splittext method returns the extension with the . included (.ods), but the keys are without the comma. But this would mean that the library would never work, so I'm guessing I'm just missing something basic?



Discussion / hints:

Fix patch:
diff --git a/.gitignore b/.gitignore
index 167d464..93c7b42 100644
--- a/.gitignore
+++ b/.gitignore
@@ -27,3 +27,9 @@ venv/
 
 # vim config
 .vim/
+
+# Coverage
+.coverage
+
+# mypy
+.mypy_cache/
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..126b053
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,5 @@
+repos:
+  - repo: https://github.com/commitizen-tools/commitizen
+    rev: v2.38.0
+    hooks:
+    - id: commitizen
diff --git a/pandas_ods_reader/algo.py b/pandas_ods_reader/algo.py
index 07e9178..137e5fa 100644
--- a/pandas_ods_reader/algo.py
+++ b/pandas_ods_reader/algo.py
@@ -1,67 +1,98 @@
 from collections import OrderedDict
+from pathlib import Path
+from types import ModuleType
+from typing import Any, Dict, Iterator, List, Union
 
 import pandas as pd
 
 from .utils import sanitize_df
 
 
-def parse_data(backend, rows, headers=True, columns=None, skiprows=0):
-    df_dict = OrderedDict()
-    col_index = {}
+def get_columns_from_headers(backend: ModuleType, row: Any) -> List[str]:
+    repeat_until = -1
+    repeat_value = None
+    # columns as lists in a dictionary
+    columns = []
+    # parse the first row as column names
+    for k, cell in enumerate(row):
+        value, n_repeated = backend.get_value(cell)
+        if n_repeated > 0:
+            repeat_value = value
+            repeat_until = n_repeated + k
+        if not value and k <= repeat_until:
+            value = repeat_value
+        if k == repeat_until:
+            # reset to allow for more than one repeated column
+            repeat_until = -1
+        if value and value not in columns:
+            columns.append(value)
+        else:
+            column_name = value if value else "unnamed"
+            # add count to column name
+            idx = 1
+            while f"{column_name}.{idx}" in columns:
+                idx += 1
+            columns.append(f"{column_name}.{idx}")
+    return columns
+
+
+def get_generic_columns(row: Any) -> List[str]:
+    return [f"column.{j}" for j in range(len(row))]
+
+
+def get_columns(backend: ModuleType, row: Any, headers: bool) -> List[str]:
+    if headers:
+        return get_columns_from_headers(backend, row)
+    return get_generic_columns(row)
+
+
+def parse_data(
+    backend: ModuleType,
+    rows: Iterator[List[Any]],
+    headers: bool,
+    columns: List[str],
+    skiprows: int,
+) -> pd.DataFrame:
+    df_dict: OrderedDict[str, Any] = OrderedDict()
+    col_index: Dict[int, str] = {}
+
     for _ in range(skiprows):
         next(rows)
+
     for i, row in enumerate(rows):
         # row is a list of cells
-        if headers and i == 0 and not columns:
-            repeat_until = -1
-            repeat_value = None
-            # columns as lists in a dictionary
-            columns = []
-            # parse the first row as column names
-            for k, cell in enumerate(row):
-                value, n_repeated = backend.get_value(cell)
-                if n_repeated > 0:
-                    repeat_value = value
-                    repeat_until = n_repeated + k
-                if not value and k <= repeat_until:
-                    value = repeat_value
-                if k == repeat_until:
-                    # reset to allow for more than one repeated column
-                    repeat_until = -1
-                if value and value not in columns:
-                    columns.append(value)
-                else:
-                    column_name = value if value else "unnamed"
-                    # add count to column name
-                    idx = 1
-                    while f"{column_name}.{idx}" in columns:
-                        idx += 1
-                    columns.append(f"{column_name}.{idx}")
-        elif i == 0:
-            # without headers, assign generic numbered column names
-            columns = columns if columns else [f"column.{j}" for j in range(len(row))]
         if i == 0:
+            columns = columns or get_columns(backend, row, headers)
             df_dict = OrderedDict((column, []) for column in columns)
             # create index for the column headers
             col_index = {j: column for j, column in enumerate(columns)}
             if headers:
                 continue
+
         for j, cell in enumerate(row):
             if j < len(col_index):
                 value, _ = backend.get_value(cell, parsed=True)
                 # use header instead of column index
                 df_dict[col_index[j]].append(value)
+
     # make sure all columns are of the same length
     max_col_length = max(len(df_dict[col]) for col in df_dict)
     for col in df_dict:
         col_length = len(df_dict[col])
         if col_length < max_col_length:
             df_dict[col] += [None] * (max_col_length - col_length)
-    df = pd.DataFrame(df_dict)
-    return df
+
+    return pd.DataFrame(df_dict)
 
 
-def read_data(backend, file_or_path, sheet_id, headers=True, columns=None, skiprows=0):
+def read_data(
+    backend: ModuleType,
+    file_or_path: Path,
+    sheet_id: Union[str, int],
+    headers: bool,
+    columns: List[str],
+    skiprows: int,
+) -> pd.DataFrame:
     doc = backend.get_doc(file_or_path)
     rows = backend.get_rows(doc, sheet_id)
     df = parse_data(backend, rows, headers=headers, columns=columns, skiprows=skiprows)
diff --git a/pandas_ods_reader/main.py b/pandas_ods_reader/main.py
index 43fbafa..d4eb77a 100644
--- a/pandas_ods_reader/main.py
+++ b/pandas_ods_reader/main.py
@@ -1,5 +1,8 @@
 """Imports an ods or fods file into a DataFrame object"""
 from pathlib import Path
+from typing import Optional, List, Union
+
+import pandas as pd
 
 from .parsers import fods, ods
 from . import algo
@@ -8,37 +11,38 @@
 EXT_MAP = {".ods": ods, ".fods": fods}
 
 
-def read_ods(file_or_path, sheet=1, headers=True, columns=None, skiprows=0):
+def read_ods(
+    file_or_path: Union[str, Path],
+    sheet: Union[str, int] = 1,
+    headers: bool = True,
+    columns: Optional[List[str]] = None,
+    skiprows: int = 0,
+) -> pd.DataFrame:
     """
     Read in the provided ods or .ods file and convert it to `pandas.DataFrame`.
     Will detect the filetype based on the file's extension or fall back to
     ods.
 
-    Parameters
-    ----------
-    file_or_path : str or pathlib.Path
-        The path to the .ods or .fods file.
-    sheet : int or str, default 1
-        If `int`, the 1 based index of the sheet to be read. If `str`, the
-        name of the sheet to be read.
-    headers : bool, default True
-        If `True`, then the first row is treated as the list of column names.
-    columns : list, default None, optional
-        A list of column names to be used as headers.
-    skiprows : int, default 0
-        The number of rows to skip before starting to read data.
-
-    Returns
-    -------
-    pandas.DataFrame
+    Args:
+        file_or_path: The path to the .ods or .fods file.
+        sheet: If `int`, the 1 based index of the sheet to be read. If `str`, the
+            name of the sheet to be read.
+        headers: If `True`, then the first row is treated as the list of column names.
+        columns: A list of column names to be used as headers.
+        skiprows: The number of rows to skip before starting to read data.
+
+    Returns:
         The content of the specified sheet as a DataFrame.
     """
+    path = file_or_path if isinstance(file_or_path, Path) else Path(file_or_path)
+    if not path.is_file():
+        raise FileNotFoundError(f"file {file_or_path} does not exist")
     backend = EXT_MAP.get(Path(file_or_path).suffix, ods)
     return algo.read_data(
         backend,
-        file_or_path,
+        Path(file_or_path),
         sheet,
         headers=headers,
-        columns=columns,
+        columns=columns or [],
         skiprows=skiprows,
     )
diff --git a/pandas_ods_reader/parsers/fods.py b/pandas_ods_reader/parsers/fods.py
index a5e2c05..4f4a3f6 100644
--- a/pandas_ods_reader/parsers/fods.py
+++ b/pandas_ods_reader/parsers/fods.py
@@ -1,3 +1,6 @@
+from pathlib import Path
+from typing import Iterator, Optional, Tuple, Union
+
 from lxml import etree
 
 
@@ -13,15 +16,16 @@
 VALUE_TYPE_ATTRIB = "value-type"
 
 
-def get_doc(file_or_path):
+def get_doc(file_or_path: Path) -> etree._ElementTree:
     return etree.parse(str(file_or_path))
 
 
-def get_sheet(spreadsheet, sheet_id):
+def get_sheet(spreadsheet: etree._Element, sheet_id: Union[str, int]) -> etree._Element:
     namespaces = spreadsheet.nsmap
     if isinstance(sheet_id, str):
         sheet = spreadsheet.find(
-            f"{TABLE_TAG}[@table:name='{sheet_id}']", namespaces=namespaces
+            f"{TABLE_TAG}[@table:name='{sheet_id}']",
+            namespaces=namespaces,
         )
         if sheet is None:
             raise KeyError(f"There is no sheet named {sheet_id}.")
@@ -32,35 +36,39 @@ def get_sheet(spreadsheet, sheet_id):
     return tables[sheet_id - 1]
 
 
-def get_rows(doc, sheet_id):
+def get_rows(
+    doc: etree._ElementTree,
+    sheet_id: Union[str, int],
+) -> Iterator[etree._Element]:
     if not isinstance(sheet_id, (str, int)):
         raise ValueError("Sheet id has to be either `str` or `int`")
     root = doc.getroot()
     namespaces = root.nsmap
-    spreadsheet = doc.find(BODY_TAG, namespaces=namespaces).find(
+    spreadsheet = doc.find(BODY_TAG, namespaces=namespaces).find(  # type: ignore
         SPREADSHEET_TAG, namespaces=namespaces
     )
     sheet = get_sheet(spreadsheet, sheet_id)
-    rows = sheet.findall(TABLE_ROW_TAG, namespaces=namespaces)
-    for row in rows:
-        yield row
+    return sheet.iterfind(TABLE_ROW_TAG, namespaces=namespaces)
 
 
-def is_float(cell):
+def is_float(cell: etree._Element) -> bool:
     return (
         cell.attrib.get(f"{{{cell.nsmap[OFFICE_KEY]}}}{VALUE_TYPE_ATTRIB}") == "float"
     )
 
 
-def get_value(cell, parsed=False):
+def get_value(
+    cell: etree._Element,
+    parsed: bool = False,
+) -> Tuple[Optional[Union[str, float]], int]:
     text = cell.find(TABLE_CELL_TEXT_TAG, namespaces=cell.nsmap)
     if text is None:
         return None, 0
-    value = text.text
+    value: Union[str, float] = text.text or ""
     if parsed and is_float(cell):
         value = float(value)
-    n_repeated = cell.attrib.get(
+    _n_repeated = cell.attrib.get(
         f"{{{cell.nsmap[TABLE_KEY]}}}{TABLE_CELL_REPEATED_ATTRIB}"
     )
-    n_repeated = int(n_repeated) if n_repeated is not None else 0
+    n_repeated = int(_n_repeated) if _n_repeated is not None else 0
     return value, n_repeated
diff --git a/pandas_ods_reader/parsers/ods.py b/pandas_ods_reader/parsers/ods.py
index 2150d02..b59aba5 100644
--- a/pandas_ods_reader/parsers/ods.py
+++ b/pandas_ods_reader/parsers/ods.py
@@ -1,21 +1,28 @@
-import ezodf
+from pathlib import Path
+from typing import Any, Iterator, List, Tuple, Union
 
+import ezodf  # type: ignore[import]
+from ezodf.document import FlatXMLDocument, PackagedDocument  # type: ignore[import]
 
-def get_doc(file_or_path):
+
+def get_doc(file_or_path: Path) -> Union[FlatXMLDocument, PackagedDocument]:
     return ezodf.opendoc(file_or_path)
 
 
-def get_rows(doc, sheet_id):
+def get_rows(
+    doc: Union[FlatXMLDocument, PackagedDocument],
+    sheet_id: Union[str, int],
+) -> Iterator[List[ezodf.Cell]]:
     if not isinstance(sheet_id, (int, str)):
         raise ValueError("Sheet id has to be either `str` or `int`")
     if isinstance(sheet_id, str):
-        sheets = [sheet.name for sheet in doc.sheets]
+        sheets: List[str] = [sheet.name for sheet in doc.sheets]
         if sheet_id not in sheets:
             raise KeyError("There is no sheet named {}".format(sheet_id))
         sheet_id = sheets.index(sheet_id) + 1
-    sheet = doc.sheets[sheet_id - 1]
+    sheet: ezodf.Sheet = doc.sheets[sheet_id - 1]
     return sheet.rows()
 
 
-def get_value(cell, parsed=False):
+def get_value(cell: ezodf.Cell, parsed: bool = False) -> Tuple[Any, int]:
     return cell.value, 0
diff --git a/pandas_ods_reader/utils.py b/pandas_ods_reader/utils.py
index 36bcf5f..a3a5d60 100644
--- a/pandas_ods_reader/utils.py
+++ b/pandas_ods_reader/utils.py
@@ -1,4 +1,5 @@
 """Provides utility functions for the parser"""
+import pandas as pd
 
 
 def ods_info(doc):
@@ -14,8 +15,8 @@ def ods_info(doc):
         )
 
 
-def sanitize_df(df):
-    """Drop empty rows and columns from the DataFrame and returns it"""
+def sanitize_df(df: pd.DataFrame) -> pd.DataFrame:
+    """Drop empty rows and columns from the DataFrame and return it."""
     # Delete empty rows
     for i in df.index.tolist()[-1::-1]:
         if df.iloc[i].isna().all():
diff --git a/poetry.lock b/poetry.lock
index 029afd8..44dc83b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,72 +1,134 @@
 [[package]]
-name = "atomicwrites"
-version = "1.4.0"
-description = "Atomic file writes."
+name = "argcomplete"
+version = "2.0.0"
+description = "Bash tab completion for argparse"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
+
+[package.extras]
+test = ["coverage", "flake8", "pexpect", "wheel"]
 
 [[package]]
 name = "attrs"
-version = "21.2.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [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"]
-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"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "black"
-version = "21.9b0"
+version = "22.12.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7"
 
 [package.dependencies]
-click = ">=7.1.2"
+click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
-pathspec = ">=0.9.0,<1"
+pathspec = ">=0.9.0"
 platformdirs = ">=2"
-regex = ">=2020.1.8"
-tomli = ">=0.2.6,<2.0.0"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
-typing-extensions = [
-    {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
-    {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
-]
+tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
 
 [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)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
+[[package]]
+name = "charset-normalizer"
+version = "2.1.1"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "dev"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.extras]
+unicode-backport = ["unicodedata2"]
+
 [[package]]
 name = "click"
-version = "8.0.1"
+version = "8.1.3"
 description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "colorama"
-version = "0.4.4"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "dev"
 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 = "commitizen"
+version = "2.38.0"
+description = "Python commitizen client tool"
+category = "dev"
+optional = false
+python-versions = ">=3.6.2,<4.0.0"
+
+[package.dependencies]
+argcomplete = ">=1.12.1,<2.1"
+charset-normalizer = ">=2.1.0,<3.0.0"
+colorama = ">=0.4.1,<0.5.0"
+decli = ">=0.5.2,<0.6.0"
+jinja2 = ">=2.10.3"
+packaging = ">=19"
+pyyaml = ">=3.08"
+questionary = ">=1.4.0,<2.0.0"
+termcolor = {version = ">=1.1,<3", markers = "python_version >= \"3.7\""}
+tomlkit = ">=0.5.3,<1.0.0"
+typing-extensions = ">=4.0.1,<5.0.0"
+
+[[package]]
+name = "coverage"
+version = "7.0.0"
+description = "Code coverage measurement for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
+
+[package.extras]
+toml = ["tomli"]
+
+[[package]]
+name = "decli"
+version = "0.5.2"
+description = "Minimal, easy-to-use, declarative cli tool"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "exceptiongroup"
+version = "1.0.4"
+description = "Backport of PEP 654 (exception groups)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=6)"]
 
 [[package]]
 name = "ezodf"
@@ -77,21 +139,17 @@ optional = false
 python-versions = "*"
 
 [[package]]
-name = "importlib-metadata"
-version = "4.8.1"
-description = "Read metadata from Python packages"
-category = "main"
+name = "flake8"
+version = "6.0.0"
+description = "the modular source code checker: pep8 pyflakes and co"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8.1"
 
 [package.dependencies]
-typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
-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)"]
+mccabe = ">=0.7.0,<0.8.0"
+pycodestyle = ">=2.10.0,<2.11.0"
+pyflakes = ">=3.0.0,<3.1.0"
 
 [[package]]
 name = "iniconfig"
@@ -101,9 +159,23 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "lxml"
-version = "4.6.3"
+version = "4.9.2"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 category = "main"
 optional = false
@@ -112,9 +184,44 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
 html5 = ["html5lib"]
-htmlsoup = ["beautifulsoup4"]
+htmlsoup = ["BeautifulSoup4"]
 source = ["Cython (>=0.29.7)"]
 
+[[package]]
+name = "markupsafe"
+version = "2.1.1"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "mccabe"
+version = "0.7.0"
+description = "McCabe checker, plugin for flake8"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "mypy"
+version = "0.991"
+description = "Optional static typing for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=3.10"
+
+[package.extras]
+dmypy = ["psutil (>=4.0)"]
+install-types = ["pip"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
+
 [[package]]
 name = "mypy-extensions"
 version = "0.4.3"
@@ -125,58 +232,70 @@ python-versions = "*"
 
 [[package]]
 name = "numpy"
-version = "1.21.1"
-description = "NumPy is the fundamental package for array computing with Python."
+version = "1.24.0"
+description = "Fundamental package for array computing in Python"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [[package]]
 name = "packaging"
-version = "21.0"
+version = "22.0"
 description = "Core utilities for Python packages"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pyparsing = ">=2.0.2"
+python-versions = ">=3.7"
 
 [[package]]
 name = "pandas"
-version = "1.1.5"
+version = "1.5.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8"
 
 [package.dependencies]
-numpy = ">=1.15.4"
-python-dateutil = ">=2.7.3"
-pytz = ">=2017.2"
+numpy = [
+    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+]
+python-dateutil = ">=2.8.1"
+pytz = ">=2020.1"
 
 [package.extras]
-test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+
+[[package]]
+name = "pandas-stubs"
+version = "1.5.2.221213"
+description = "Type annotations for pandas"
+category = "dev"
+optional = false
+python-versions = ">=3.8,<3.12"
+
+[package.dependencies]
+types-pytz = ">=2022.1.1"
 
 [[package]]
 name = "pathspec"
-version = "0.9.0"
+version = "0.10.3"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.7"
 
 [[package]]
 name = "platformdirs"
-version = "2.4.0"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "2.6.0"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.extras]
-docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"]
+test = ["appdirs (==1.4.4)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pluggy"
@@ -186,50 +305,71 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
-[package.dependencies]
-importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
-
 [package.extras]
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
-name = "py"
-version = "1.10.0"
-description = "library with cross-python path, ini-parsing, io, code, log facilities"
+name = "prompt-toolkit"
+version = "3.0.36"
+description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+wcwidth = "*"
 
 [[package]]
-name = "pyparsing"
-version = "2.4.7"
-description = "Python parsing module"
+name = "pycodestyle"
+version = "2.10.0"
+description = "Python style guide checker"
 category = "dev"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = ">=3.6"
+
+[[package]]
+name = "pyflakes"
+version = "3.0.1"
+description = "passive checker of Python programs"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
 
 [[package]]
 name = "pytest"
-version = "6.2.5"
+version = "7.2.0"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
-atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
-py = ">=1.8.2"
-toml = "*"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
+
+[[package]]
+name = "pytest-cov"
+version = "4.0.0"
+description = "Pytest plugin for measuring coverage."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+coverage = {version = ">=5.2.1", extras = ["toml"]}
+pytest = ">=4.6"
+
+[package.extras]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
 
 [[package]]
 name = "python-dateutil"
@@ -244,19 +384,33 @@ six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2021.3"
+version = "2022.7"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "regex"
-version = "2021.9.30"
-description = "Alternative regular expression module, to replace re."
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
+
+[[package]]
+name = "questionary"
+version = "1.10.0"
+description = "Python library to build pretty command line user prompts ⭐️"
+category = "dev"
+optional = false
+python-versions = ">=3.6,<4.0"
+
+[package.dependencies]
+prompt_toolkit = ">=2.0,<4.0"
+
+[package.extras]
+docs = ["Sphinx (>=3.3,<4.0)", "sphinx-autobuild (>=2020.9.1,<2021.0.0)", "sphinx-autodoc-typehints (>=1.11.1,<2.0.0)", "sphinx-copybutton (>=0.3.1,<0.4.0)", "sphinx-rtd-theme (>=0.5.0,<0.6.0)"]
 
 [[package]]
 name = "six"
@@ -267,325 +421,533 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
+name = "termcolor"
+version = "2.1.1"
+description = "ANSI color formatting for output in terminal"
 category = "dev"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = ">=3.7"
+
+[package.extras]
+tests = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "tomli"
-version = "1.2.1"
+version = "2.0.1"
 description = "A lil' TOML parser"
 category = "dev"
 optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "tomlkit"
+version = "0.11.6"
+description = "Style preserving TOML library"
+category = "dev"
+optional = false
 python-versions = ">=3.6"
 
 [[package]]
-name = "typed-ast"
-version = "1.4.3"
-description = "a fork of Python 2 and 3 ast modules with type comment support"
+name = "types-lxml"
+version = "2022.11.8"
+description = "Type annotations for lxml striving for completeness"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
+
+[package.dependencies]
+lxml = "*"
+
+[package.extras]
+extra = ["types-beautifulsoup4", "types-html5lib"]
 
 [[package]]
-name = "typing-extensions"
-version = "3.10.0.2"
-description = "Backported and Experimental Type Hints for Python 3.5+"
-category = "main"
+name = "types-pytz"
+version = "2022.7.0.0"
+description = "Typing stubs for pytz"
+category = "dev"
 optional = false
 python-versions = "*"
 
 [[package]]
-name = "zipp"
-version = "3.6.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
+name = "typing-extensions"
+version = "4.4.0"
+description = "Backported and Experimental Type Hints for Python 3.7+"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
-[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)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
+[[package]]
+name = "wcwidth"
+version = "0.2.5"
+description = "Measures the displayed width of unicode strings in a terminal"
+category = "dev"
+optional = false
+python-versions = "*"
 
 [metadata]
 lock-version = "1.1"
-python-versions = "^3.7"
-content-hash = "d9c435fd7f0ded3ef3a28aa6a93b4b47ea1ccbd9cda9c0133bd33c405fe53706"
+python-versions = ">=3.8.1,<3.12"
+content-hash = "be6c0d93b5f18f5a324056cb7edb39d9310161f4435fc53a883f4901f3ef8aad"
 
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+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+tomlkit = [
+    {file = "tomlkit-0.11.6-py3-none-any.whl", hash = "sha256:07de26b0d8cfc18f871aec595fda24d95b08fef89d147caa861939f37230bf4b"},
+    {file = "tomlkit-0.11.6.tar.gz", hash = "sha256:71b952e5721688937fb02cf9d354dbcf0785066149d2855e44531ebdd2b65d73"},
+]
+types-lxml = [
+    {file = "types-lxml-2022.11.8.tar.gz", hash = "sha256:858b7873b8e3936aec31b31a2ddd6f638e24938b5a1bb5b4343bab6975288622"},
+    {file = "types_lxml-2022.11.8-py3-none-any.whl", hash = "sha256:7a56fa6452bac06fe5b0c61d44c1e8a7084d32778dd7bcb876ac976a3f2f7d4f"},
+]
+types-pytz = [
+    {file = "types-pytz-2022.7.0.0.tar.gz", hash = "sha256:4f20c2953b3a3a0587e94489ec4c9e02c3d3aedb9ba5cd7e796e12f4cfa7027e"},
+    {file = "types_pytz-2022.7.0.0-py3-none-any.whl", hash = "sha256:1509f182f686ab76e9a8234f22b00b8f50d239974db0cf924b7ae8674bb31a6f"},
 ]
 typing-extensions = [
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+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
-zipp = [
-    {file = "zipp-3.6.0-py3-none-any.whl", hash = "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"},
-    {file = "zipp-3.6.0.tar.gz", hash = "sha256:71c644c5369f4a6e07636f0aa966270449561fcea2e3d6747b8d23efaa9d7832"},
+wcwidth = [
+    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
+    {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
 ]
diff --git a/pyproject.toml b/pyproject.toml
index 442c065..6486c06 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pandas-ods-reader"
-version = "0.1.4"
+version = "0.2.0"
 description = "Read in .ods and .fods files and return a pandas.DataFrame."
 authors = ["iuvbio <iuvbio@users.noreply.github.com>"]
 license = "MIT"
@@ -15,15 +15,26 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.7"
+python = ">=3.8.1,<3.12"
 ezodf = "^0.3.2"
-lxml = "^4.6.3"
-pandas = "^1.0.0"
-importlib_metadata = { version = "^4.8.1", python = ">=3.7,<3.8" }
+lxml = "^4.9.2"
+pandas = "^1.5.2"
 
 [tool.poetry.group.dev.dependencies]
-black = "^21.9-beta.0"
-pytest = "^6.2.4"
+black = "^22.10.0"
+pytest = "^7.1.3"
+pytest-cov = "^4.0.0"
+mypy = "^0.991"
+flake8 = "^6.0.0"
+pandas-stubs = "^1.5.2.221213"
+types-lxml = "^2022.11.8"
+commitizen = "^2.38.0"
+
+[tool.commitizen]
+name = "cz_conventional_commits"
+version = "0.2.0"
+tag_format = "v$version"
+version_files = ["pyproject.toml:version"]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]


Test patch:
diff --git a/.github/workflows/lint_and_test.yml b/.github/workflows/lint_and_test.yml
index d9bc314..45660a7 100644
--- a/.github/workflows/lint_and_test.yml
+++ b/.github/workflows/lint_and_test.yml
@@ -2,7 +2,7 @@ name: Lint and test
 
 on:
   push:
-    branches: [ master, poetry ]
+    branches: [ "**" ]
   pull_request:
     branches: [ master ]
 
@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python_version: ["3.7", "3.8", "3.9"]
+        python_version: ["3.8", "3.9", "3.10"]
       fail-fast: false
 
     steps:
@@ -30,7 +30,7 @@ jobs:
       if: steps.cache.outputs.cache-hit != 'true'
       run: |
         python -m pip install --upgrade pip
-        python -m pip install "poetry==1.2.0a2"
+        python -m pip install poetry
     - name: Configure poetry
       run: python -m poetry config virtualenvs.create false
     - name: Install Dependencies
diff --git a/tests/test_read_ods.py b/tests/test_read_ods.py
index aa3aa9c..af5df1e 100644
--- a/tests/test_read_ods.py
+++ b/tests/test_read_ods.py
@@ -19,140 +19,158 @@
 skiprows_file = "example_skiprows.ods"
 
 
-class TestOdsReader:
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_header_file_simple(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_header_file_simple(suffix: str) -> None:
+    """Test a simple file with headers."""
+    path = rsc / header_file
+    df = read_ods(path.with_suffix(suffix))
 
-        path = rsc / header_file
-        df = read_ods(path.with_suffix(suffix))
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_header_file_with_int(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_header_file_with_int(suffix: str) -> None:
+    """Test referencing a sheet by index."""
+    path = rsc / header_file
+    df = read_ods(path.with_suffix(suffix), 1)
 
-        path = rsc / header_file
-        df = read_ods(path.with_suffix(suffix), 1)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_header_file_with_str(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_header_file_with_str(suffix: str) -> None:
+    """Test referencing a sheet by name."""
+    path = rsc / header_file
+    df = read_ods(path.with_suffix(suffix), "Sheet1")
 
-        path = rsc / header_file
-        df = read_ods(path.with_suffix(suffix), "Sheet1")
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_header_file_with_cols(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_header_file_with_cols(suffix: str) -> None:
+    """Test overwriting haders with column names."""
+    path = rsc / header_file
+    columns = ["One", "Two", "Three", "Four", "Five"]
+    df = read_ods(path.with_suffix(suffix), "Sheet1", columns=columns)
 
-        path = rsc / header_file
-        columns = ["One", "Two", "Three", "Four", "Five"]
-        df = read_ods(path.with_suffix(suffix), "Sheet1", columns=columns)
+    assert list(df.columns) == columns
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert list(df.columns) == columns
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_no_header_file_no_cols(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_no_header_file_no_cols(suffix: str) -> None:
+    """Test autogeneration of headers with no headers and not column names."""
+    path = rsc / no_header_file
+    df = read_ods(path.with_suffix(suffix), 1, headers=False)
 
-        path = rsc / no_header_file
-        df = read_ods(path.with_suffix(suffix), 1, headers=False)
+    assert list(df.columns) == [f"column.{i}" for i in range(len(df.columns))]
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert list(df.columns) == [f"column.{i}" for i in range(len(df.columns))]
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_no_header_file_with_cols(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_no_header_file_with_cols(suffix: str) -> None:
+    """Test reading a file with no headers and passing column names."""
+    path = rsc / no_header_file
+    columns = ["A", "B", "C", "D", "E"]
+    df = read_ods(path.with_suffix(suffix), 1, headers=False, columns=columns)
 
-        path = rsc / no_header_file
-        columns = ["A", "B", "C", "D", "E"]
-        df = read_ods(path.with_suffix(suffix), 1, headers=False, columns=columns)
+    assert list(df.columns) == columns
+    assert len(df) == 10
 
-        assert list(df.columns) == columns
-        assert len(df) == 10
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_duplicated_column_names(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_duplicated_column_names(suffix: str) -> None:
+    """Test numbering duplicate column names."""
+    path = rsc / duplicated_column_names_file
+    df = read_ods(path.with_suffix(suffix), 1)
 
-        path = rsc / duplicated_column_names_file
-        df = read_ods(path.with_suffix(suffix), 1)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df.columns) == 4
+    assert "website.1" in df.columns
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df.columns) == 4
-        assert "website.1" in df.columns
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_header_file_col_len(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_header_file_col_len(suffix: str) -> None:
+    """Test the correct number of columns is read."""
+    path = rsc / col_len_file
+    df = read_ods(path.with_suffix(suffix), 1)
 
-        path = rsc / col_len_file
-        df = read_ods(path.with_suffix(suffix), 1)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_wrong_id_type(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_wrong_id_type(suffix: str) -> None:
+    """Verify passing a wrong id type raises an error."""
+    path = rsc / header_file
 
-        path = rsc / header_file
+    with pytest.raises(ValueError) as e_info:
+        read_ods(path.with_suffix(suffix), 1.0)  # type: ignore[arg-type]
+        assert e_info.match("Sheet id has to be either `str` or `int`")
 
-        with pytest.raises(ValueError) as e_info:
-            read_ods(path.with_suffix(suffix), 1.0)
-            assert e_info.match("Sheet id has to be either `str` or `int`")
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_non_existent_sheet(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_non_existent_sheet(suffix: str) -> None:
+    """Verify referencing a non-existent sheet raises an error."""
+    path = rsc / header_file
+    sheet_name = "No_Sheet"
 
-        path = rsc / header_file
-        sheet_name = "No_Sheet"
+    with pytest.raises(KeyError) as e_info:
+        read_ods(path.with_suffix(suffix), sheet_name)
+        assert e_info.match(f"There is no sheet named {sheet_name}")
 
-        with pytest.raises(KeyError) as e_info:
-            read_ods(path.with_suffix(suffix), sheet_name)
-            assert e_info.match(f"There is no sheet named {sheet_name}")
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_missing_header(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_missing_header(suffix: str) -> None:
+    """Verify that a missing header is named."""
+    path = rsc / missing_header_file
+    df = read_ods(path.with_suffix(suffix), 1)
 
-        path = rsc / missing_header_file
-        df = read_ods(path.with_suffix(suffix), 1)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
+    assert df.columns[2] == "unnamed.1"
 
-        assert df.columns[2] == "unnamed.1"
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_mixed_dtypes(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_mixed_dtypes(suffix: str) -> None:
+    """Verify loading a df with mixed types."""
+    path = rsc / mixed_dtypes_file
+    df = read_ods(path.with_suffix(suffix), 1)
 
-        path = rsc / mixed_dtypes_file
-        df = read_ods(path.with_suffix(suffix), 1)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 10
+    assert len(df.columns) == 5
 
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 10
-        assert len(df.columns) == 5
+    type_list = [float, object, float, float, object]
+    assert df.dtypes.tolist() == type_list
+    col_b_types = [type(v) for v in df.B.values]
+    assert str in col_b_types and float in col_b_types
 
-        type_list = [float, object, float, float, object]
-        assert df.dtypes.tolist() == type_list
-        col_b_types = [type(v) for v in df.B.values]
-        assert str in col_b_types and float in col_b_types
 
-    @pytest.mark.parametrize("suffix", [".ods", ".fods"])
-    def test_skiprows(self, suffix):
+@pytest.mark.parametrize("suffix", [".ods", ".fods"])
+def test_skiprows(suffix: str) -> None:
+    """Verify skipping rows works correctly."""
+    path = rsc / skiprows_file
+    df = read_ods(path.with_suffix(suffix), skiprows=2)
+    assert isinstance(df, pd.DataFrame)
+    assert len(df) == 8
+    assert len(df.columns) == 5
+    assert df.columns.tolist() == ["a", "b", "c", "d", "e"]
 
-        path = rsc / skiprows_file
-        df = read_ods(path.with_suffix(suffix), skiprows=2)
-        assert isinstance(df, pd.DataFrame)
-        assert len(df) == 8
-        assert len(df.columns) == 5
-        assert df.columns.tolist() == ["a", "b", "c", "d", "e"]
+
+def test_invalid_path() -> None:
+    """Verify passing an invalid path raises an error."""
+    path = rsc / "does-not-exist.ods"
+    with pytest.raises(FileNotFoundError, match="does not exist"):
+        read_ods(path)