Updated tide module and Jupyter notebook!

tide_predictions/README.md

@@ -11,14 +11,12 @@ Harmonic Constituents data is scraped from NOAA's gauge station harmonic constit
 * Scipy
 * Pandas 
 * Request 
-* lxml
-
-To install dependencies, run <b> pip install -r requirements.txt </b> . 
+* LXML
 
 # Usage
-Use [Boundary_Conditions.ipynb](Boundary_Conditions.ipynb) to modify tide prediction examples, develop your own tide predictions, and obtain code for Clawpack implementation if placed in <b>gauge_afteraxes( )</b> in <b>setplot.py</b> and calling <b>surge( )</b> method with arguments set as: <b>(stationID, beginning_date, end_date, landfall_date)</b> to obtain NOAA's observed storm surge.
+Use [Tide_Module_Examples.ipynb](Tide_Module_Examples.ipynb) to modify tide prediction examples, develop your own tide predictions, and obtain code for Clawpack implementation if placed in ```gauge_afteraxes( )``` in <b>setplot.py</b> and calling <b>surge( )</b> method with arguments set as: <b>(stationID, beginning_date, end_date, landfall_date)</b> to obtain NOAA's observed storm surge.
 
 Modify NOAA station ID and date(s) of prediction (UTC) to make your own example. 
 
 # Acknowledgments
-This code was modified from [Pytides](https://github.com/sam-cox/pytides) to work with Python 3 and to more easily predict NOAA gauge station tides and storm surges with only calling <b>surge( )</b> method with a stationID, a beginning date, an end date, and a landfall date in setplot.py to compare Clawpack storm surge ouput to NOAA's observed storm surge. 
+This code was modified from [Pytides](https://github.com/sam-cox/pytides) to work with Python 3 and to more easily predict NOAA gauge station tide by calling <b>predict_tide( )</b> method with a stationID, a beginning date and an end date,  and storm surges with only calling <b>surge( )</b> method with a stationID, a beginning date, an end date, and a landfall date in setplot.py to compare Clawpack storm surge ouput to NOAA's observed storm surge.