Merge pull request #57 from DanielGoldfarb/master

restructure tests and add some tests.

Author: DanielGoldfarb

examples/data/jpyusd_barchartdotcom.csv

@@ -18,15 +18,15 @@
 from pandas.plotting import register_matplotlib_converters
 register_matplotlib_converters()
 from matplotlib.dates import DateFormatter, MonthLocator, YearLocator
+import os.path
 
 years = YearLocator()  # every year
 months = MonthLocator()  # every month
 yearsFmt = DateFormatter('%Y')
 
-quotes = pd.read_csv('data/yahoofinance-INTC-19950101-20040412.csv',
-                     index_col=0,
-                     parse_dates=True,
-                     infer_datetime_format=True)
+# make file paths OS independent
+infile = os.path.join('data','yahoofinance-INTC-19950101-20040412.csv')
+quotes = pd.read_csv(infile,index_col=0,parse_dates=True,infer_datetime_format=True)
 
 dates = quotes.index
 opens = quotes['Open']

examples/mpftests/test_addplot.py

@@ -10,6 +10,7 @@
 register_matplotlib_converters()
 from matplotlib.dates import (MONDAY, DateFormatter, MonthLocator,
                               WeekdayLocator)
+import os.path
 
 date1 = "2002-1-5"
 date2 = "2003-12-1"
@@ -22,7 +23,8 @@
 monthsFmt = DateFormatter("%b '%y")
 
 
-quotes = pd.read_csv('data/yahoofinance-INTC-19950101-20040412.csv',
+infile = os.path.join('data','yahoofinance-INTC-19950101-20040412.csv')
+quotes = pd.read_csv(infile,
                      index_col=0,
                      parse_dates=True,
                      infer_datetime_format=True)

examples/original_flavor/date_demo1.py

@@ -6,6 +6,7 @@
 from pandas.plotting import register_matplotlib_converters
 register_matplotlib_converters()
 from matplotlib.dates import MONDAY, DateFormatter, DayLocator, WeekdayLocator
+import os.path
 
 from mplfinance.original_flavor import candlestick_ohlc
 
@@ -18,7 +19,8 @@
 weekFormatter = DateFormatter('%b %d')  # e.g., Jan 12
 dayFormatter = DateFormatter('%d')      # e.g., 12
 
-quotes = pd.read_csv('data/yahoofinance-INTC-19950101-20040412.csv',
+infile = os.path.join('data','yahoofinance-INTC-19950101-20040412.csv')
+quotes = pd.read_csv(infile,
                      index_col=0,
                      parse_dates=True,
                      infer_datetime_format=True)

examples/original_flavor/date_demo2.py

@@ -6,9 +6,11 @@
 import pandas as pd
 from pandas.plotting import register_matplotlib_converters
 register_matplotlib_converters()
+import os.path
 
 ticker = 'SPY'
-r = pd.read_csv('data/yahoofinance-SPY-20080101-20180101.csv',
+infile = os.path.join('data','yahoofinance-SPY-20080101-20180101.csv')
+r = pd.read_csv(infile,
                 index_col=0,
                 parse_dates=True,
                 infer_datetime_format=True)

examples/original_flavor/finance_demo.py

@@ -10,17 +10,22 @@
 from pandas.plotting import register_matplotlib_converters
 register_matplotlib_converters()
 
+import os.path
 from six.moves import urllib
 
 start_date = "2004-8-19"
 end_date = '2018-1-20'
 
 # grab the price data off yahoo csv quotes
-r1 = pd.read_csv('data/yahoofinance-AAPL-20040819-20180120.csv',
+
+infile1 = os.path.join('data','yahoofinance-AAPL-20040819-20180120.csv')
+r1 = pd.read_csv(infile1,
                  index_col=0,
                  parse_dates=True,
                  infer_datetime_format=True)
-r2 = pd.read_csv('data/yahoofinance-GOOG-20040819-20180120.csv',
+
+infile2 = os.path.join('data','yahoofinance-GOOG-20040819-20180120.csv')
+r2 = pd.read_csv(infile2,
                  index_col=0,
                  parse_dates=True,
                  infer_datetime_format=True)

examples/original_flavor/finance_work2.py

@@ -7,6 +7,7 @@
 register_matplotlib_converters()
 from matplotlib.dates import (MONDAY, DateFormatter, MonthLocator,
                               WeekdayLocator, date2num)
+import os.path
 
 from mplfinance.original_flavor import plot_day_summary_oclh
 
@@ -18,7 +19,8 @@
 daysFmt = DateFormatter("%d %b %y")
 
 
-quotes = pd.read_csv('data/yahoofinance-INTC-19950101-20040412.csv',
+infile = os.path.join('data','yahoofinance-INTC-19950101-20040412.csv')
+quotes = pd.read_csv(infile,
                      index_col=0,
                      parse_dates=True,
                      infer_datetime_format=True)