increase mav limit from 3 to 7 different mavs

Author: DanielGoldfarb

README.md

@@ -536,6 +536,7 @@ For more examples of using mplfinance, please see the jupyter notebooks in the `
 
 | Version  |  Description   | Release Date |
 |----------|--------------|----------------|
+| 0.12.0a3   | Increase mav limit from 3 to 7 different mavs  | 2020-01-16 |
 | 0.12.0a2   | Ability to save plot to a file (pdf, svg, png, jpg, ...) | 2020-01-14 |
 | 0.12.0a1   | Ability to plot arbitrary user data (in addition to basic OHLCV data).<br> - both line and scatter plots available.<br> - optionally plot on either the "main" or "lower" (aka "volume") axis. | 2020-01-09 |
 | 0.11.x   | Basic Plotting from Pandas DataFrame of OHLC bars and candlesticks.<br> - optional display of volume<br> - optional display of (up to 3 different) moving averages.<br> - old API still available by importing from "mplfinance/original_flavor" | 2019-12-20  |

src/mplfinance/_arg_validators.py

@@ -42,14 +42,14 @@ def _mav_validator(mav_value):
     ''' 
     Value for mav (moving average) keyword may be:
     scalar int greater than 1, or tuple of ints, or list of ints (greater than 1).
-    tuple or list limited to length of 3 moving averages (to keep the plot clean).
+    tuple or list limited to length of 7 moving averages (to keep the plot clean).
     '''
     if isinstance(mav_value,int) and mav_value > 1:
         return True
     elif not isinstance(mav_value,tuple) and not isinstance(mav_value,list):
         return False
 
-    if not len(mav_value) < 4:
+    if not len(mav_value) < 8:
         return False
     for num in mav_value:
         if not isinstance(num,int) and num > 1:

src/mplfinance/plotting.py

@@ -260,14 +260,11 @@ def plot( data, **kwargs ):
     if mavgs is not None:
         if isinstance(mavgs,int):
             mavgs = mavgs,      # convert to tuple 
-        if len(mavgs) > 3:
-            mavgs = mavgs[0:3]  # take at most 3
-        mavcolors=['turquoise','magenta','gold']
-        jj = 0
+        if len(mavgs) > 7:
+            mavgs = mavgs[0:7]  # take at most 7
         for mav in mavgs:
-            mavprices = data['Close'].rolling(mav).mean().values            
-            ax1.plot(xdates, mavprices, color=mavcolors[jj])
-            jj+=1
+            mavprices = data['Close'].rolling(mav).mean().values 
+            ax1.plot(xdates, mavprices)
 
     avg_dist_between_points = (xdates[-1] - xdates[0]) / float(len(xdates))
     minx = xdates[0]  - avg_dist_between_points