From f2134b4822ad26794f853d1a7d5b911b4da7bd52 Mon Sep 17 00:00:00 2001
From: iuvbio <lyndonbjohn@gmail.com>
Date: Sun, 23 Feb 2020 17:17:25 +0100
Subject: [PATCH] make sheet_id optional

---
 README.md                   |  3 +++
 pandas_ods_reader/parser.py |  4 ++--
 tests/test_read_ods.py      | 11 ++++++++++-
 3 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 8a19bcb..ea0add7 100644
--- a/README.md
+++ b/README.md
@@ -31,6 +31,9 @@ from pandas_ods_reader import read_ods
 
 path = "path/to/file.ods"
 
+# by default the first sheet is imported
+df = pd.read_ods(path)
+
 # load a sheet based on its index (1 based)
 sheet_idx = 1
 df = read_ods(path, sheet_idx)
diff --git a/pandas_ods_reader/parser.py b/pandas_ods_reader/parser.py
index b002fe6..2f9d2e2 100644
--- a/pandas_ods_reader/parser.py
+++ b/pandas_ods_reader/parser.py
@@ -59,7 +59,7 @@ def load_ods(doc, sheet_id, headers=True, columns=None):
     return df
 
 
-def read_ods(file_or_path, sheet, headers=True, columns=None):
+def read_ods(file_or_path, sheet=1, headers=True, columns=None):
     """
     This function reads in the provided ods file and converts it to a
     dictionary. The dictionary is converted to a DataFrame. Trailing empty rows
@@ -67,7 +67,7 @@ def read_ods(file_or_path, sheet, headers=True, columns=None):
 
     :param file_or_path: str
     the path to the ODS file
-    :param sheet: int or str
+    :param sheet: int or str, default 1
     if int, the 1 based index of the sheet to be read in. If str, the name of
     the sheet to be read in
     :param header: bool, default True
diff --git a/tests/test_read_ods.py b/tests/test_read_ods.py
index c551bb5..f99d283 100644
--- a/tests/test_read_ods.py
+++ b/tests/test_read_ods.py
@@ -18,7 +18,16 @@ missing_header_file = "example_missing_header.ods"
 mixed_dtypes_file = "mixed_dtypes.ods"
 
 
-class TestOdsReader(object):
+class TestOdsReader:
+
+    def test_header_file_simple(self):
+
+        path = rsc / header_file
+        df = read_ods(path)
+
+        assert isinstance(df, pd.DataFrame)
+        assert len(df) == 10
+        assert (len(df.columns) == 5)
 
     def test_header_file_with_int(self):