Add more type hints.

pandas_ods_reader/algo.py

@@ -1,11 +1,14 @@
 from collections import OrderedDict
+from pathlib import Path
+from types import ModuleType
+from typing import Any, Iterator, Union
 
 import pandas as pd
 
 from .utils import sanitize_df
 
 
-def get_columns_from_headers(backend, row):
+def get_columns_from_headers(backend: ModuleType, row: Any) -> list[str]:
     repeat_until = -1
     repeat_value = None
     # columns as lists in a dictionary
@@ -33,21 +36,29 @@ def get_columns_from_headers(backend, row):
     return columns
 
 
-def get_generic_columns(row):
+def get_generic_columns(row: Any) -> list[str]:
     return [f"column.{j}" for j in range(len(row))]
 
 
-def get_columns(backend, row, headers):
+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, rows, headers=True, columns=None, skiprows=0):
+def parse_data(
-    df_dict = OrderedDict()
+    backend: ModuleType,
-    col_index = {}
+    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 i == 0:
@@ -74,7 +85,14 @@ def parse_data(backend, rows, headers=True, columns=None, skiprows=0):
     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)

pandas_ods_reader/parsers/fods.py

@@ -1,3 +1,5 @@
+from pathlib import Path
+
 from lxml import etree
 
 
@@ -13,7 +15,7 @@ TABLE_CELL_REPEATED_ATTRIB = "number-columns-repeated"
 VALUE_TYPE_ATTRIB = "value-type"
 
 
-def get_doc(file_or_path):
+def get_doc(file_or_path: Path):
     return etree.parse(str(file_or_path))
 
 
@@ -21,7 +23,8 @@ def get_sheet(spreadsheet, sheet_id):
     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}.")

pandas_ods_reader/parsers/ods.py

@@ -1,21 +1,28 @@
+from pathlib import Path
+from typing import Any, Iterator, Union
+
 import ezodf
+from ezodf.document import FlatXMLDocument, PackagedDocument
 
 
-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

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):
+def sanitize_df(df: pd.DataFrame) -> pd.DataFrame:
-    """Drop empty rows and columns from the DataFrame and returns it"""
+    """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():