Fix data type check function, update version

Author: michaelchu

README.md

@@ -9,12 +9,11 @@
 Optopsy is a nimble backtesting and statistics library for option strategies, it is designed to answer questions like
 "How do vertical spreads perform on the SPX?" or "Which strikes and/or expiration dates should I choose to make the most potential profit?"
 
-**This library is currently being rewritten and is in beta state, use at your own risk**
-
 ## Supported Option Strategies
 * Calls/Puts
 * Straddles/Strangles
-* Butterflies/Iron Condors (WIP)
+* Butterflies (WIP)
+* Iron Condors (WIP)
 * Many more to follow
 
 ## Documentation
@@ -30,7 +29,7 @@ You will need Python 3.6 or newer and Pandas 0.23.1 or newer and Numpy 1.14.3 or
 
 ### Installation
 ```
-pip install optopsy==2.0.0b2
+pip install optopsy==2.0.0
 ```
 
 ### Example

setup.py

@@ -5,7 +5,7 @@
     description="Python Backtesting library for options trading strategies",
     long_description=open("README.md").read(),
     long_description_content_type="text/markdown",
-    version="2.0.0b2",
+    version="2.0.0",
     url="https://github.com/michaelchu/optopsy",
     author="Michael Chu",
     author_email="[email protected]",

tests/test_checks.py

@@ -58,6 +58,10 @@ def test_check_data_types():
     invalid_cols = {"some_col": ["some val"]}
     invalid_types = {"underlying_symbol": [123]}
 
-    with pytest.raises(ValueError):
+    with pytest.raises(ValueError, match="Expected column"):
         op._check_data_types(pd.DataFrame(invalid_cols))
+
+    with pytest.raises(
+        ValueError, match="underlying_symbol does not match expected types"
+    ):
         op._check_data_types(pd.DataFrame(invalid_types))