tight_layout support figure padding (issue #193)

Author: DanielGoldfarb

examples/scratch_pad/dev_scale_padding.ipynb

@@ -0,0 +1,49 @@
+import pandas as pd
+import mplfinance as mpf
+
+print('\nmpf.__version__=',mpf.__version__,'\n')
+
+filename = '../../data/SP500_NOV2019_IDay.csv'
+
+intraday = pd.read_csv(filename,index_col=0,parse_dates=True)
+intraday = intraday.drop('Volume',axis=1) # Volume is zero anyway for this intraday data set
+intraday.index.name = 'Date'
+intraday.shape
+intraday.head(3)
+intraday.tail(3)
+
+iday = intraday.loc['2019-11-06 15:00':'2019-11-06 16:00',:]
+
+print('len(iday)=',len(iday))
+
+#----------------------------------------------------------------
+mpf.plot(iday,type='candle')
+
+print('\n\nscale_padding=0.65')
+mpf.plot(iday,type='candle',scale_padding=0.65)
+#----------------------------------------------------------------
+
+print('\n\ntight_layout=True')
+mpf.plot(iday,type='candle',tight_layout=True,block=False,title='Tight Layout')
+
+print('\n\ntight_layout, and scale_padding=0.85')
+mpf.plot(iday,type='candle',tight_layout=True,scale_padding=0.85,title='Tight/Scale=0.85')
+
+#----------------------------------------------------------------
+print('\n\nscale_padding=2.5')
+mpf.plot(iday,type='candle',scale_padding=2.5)
+
+print('\n\ntight_layout, and scale_padding=0.25')
+mpf.plot(iday,type='candle',tight_layout=True,scale_padding=0.25)
+#----------------------------------------------------------------
+
+#  filename='../../data/SP500_NOV2019_Hist.csv'
+#  df = pd.read_csv(filename,index_col=0,parse_dates=True)
+#  df.index.name = 'Date'
+#  df.shape
+#  df.head(3)
+#  df.tail(3)
+
+#  print('len(df)=',len(df))
+
+#  mpf.plot(df,type='candle')

examples/scratch_pad/issues/issue193.py

@@ -242,3 +242,18 @@ def _process_kwargs(kwargs, vkwargs):
 
 def _valid_panel_id(panid):
     return panid in ['main','lower'] or (isinstance(panid,int) and panid >= 0 and panid < 10)
+
+def _scale_padding_validator(value):
+    if isinstance(value,(int,float)):
+        return True
+    elif isinstance(value,dict):
+        valid_keys=('left','right','top','bottom')
+        for key in value:
+            if key not in valid_keys:
+                raise ValueError('Invalid key "'+str(key)+'" found in `scale_padding` dict.')
+            if not isinstance(value[key],(int,float)):
+                raise ValueError('`scale_padding` dict contains non-number at key "'+str(key)+'"') 
+        return True
+    else:
+        raise ValueError('`scale_padding` kwarg must be a number, or dict of (left,right,top,bottom) numbers.')
+    return False

src/mplfinance/_arg_validators.py

@@ -144,10 +144,50 @@ def _build_panels( figure, config ):
 
     #print('panels=')
     #print(panels)
+
+    left_pad    = 0.18
+    right_pad   = 0.10
+    top_pad     = 0.12
+    bot_pad     = 0.18
+
+    scale_left = scale_right = scale_top = scale_bot = 1.0
+
+    scale_padding = config['scale_padding']
+    if isinstance(scale_padding,dict):
+        if 'left'   in scale_padding: scale_left  = scale_padding['left']
+        if 'right'  in scale_padding: scale_right = scale_padding['right']
+        if 'top'    in scale_padding: scale_top   = scale_padding['top']
+        if 'bottom' in scale_padding: scale_bot   = scale_padding['bottom']
+    else: # isinstance(scale_padding,(int,float):
+        scale_left = scale_right = scale_top = scale_bot = scale_padding
+        
+    if config['tight_layout']:
+        right_pad   *= 0.4
+        top_pad     *= 0.4
+        scale_left  *= 0.6
+        scale_right *= 0.6
+        scale_top   *= 0.6
+        scale_bot   *= 0.6
+
+    left_pad  *= scale_left
+    right_pad *= scale_right
+    top_pad   *= scale_top
+    bot_pad   *= scale_bot
+
+    plot_height = 1.0 - (bot_pad  + top_pad  )
+    plot_width  = 1.0 - (left_pad + right_pad)
+
+    #   print('scale_padding=',scale_padding)
+    #   print('left_pad =',left_pad)
+    #   print('right_pad=',right_pad)
+    #   print('top_pad  =',top_pad)
+    #   print('bot_pad  =',bot_pad)
+    #   print('plot_height =',plot_height)
+    #   print('plot_width  =',plot_width)
 
     psum = sum(pratios)
     for panid,size in enumerate(pratios):
-        panels.at[panid,'height'] = 0.7 * size / psum
+        panels.at[panid,'height'] = plot_height * size / psum
 
     # Now create the Axes:
 
@@ -157,9 +197,9 @@ def _build_panels( figure, config ):
         panels.at[panid,'lift'] = lift
         if panid == 0:
             # rect = [left, bottom, width, height] 
-            ax0 = figure.add_axes( [0.15, 0.18+lift, 0.70, height] )
+            ax0 = figure.add_axes( [left_pad, bot_pad+lift, plot_width, height] )
         else:
-            ax0 = figure.add_axes( [0.15, 0.18+lift, 0.70, height], sharex=panels.at[0,'axes'][0] )
+            ax0 = figure.add_axes( [left_pad, bot_pad+lift, plot_width, height], sharex=panels.at[0,'axes'][0] )
         ax1 = ax0.twinx()
         ax1.grid(False)
         if config['saxbelow']:      # issue#115 issuecomment-639446764

src/mplfinance/_panels.py

@@ -1,5 +1,5 @@
 
-version_info = (0, 12, 6, 'alpha', 1)
+version_info = (0, 12, 6, 'alpha', 2)
 
 _specifier_ = {'alpha': 'a','beta': 'b','candidate': 'rc','final': ''}
 

src/mplfinance/_version.py

@@ -32,6 +32,7 @@
 from mplfinance._arg_validators import _kwarg_not_implemented, _bypass_kwarg_validation
 from mplfinance._arg_validators import _hlines_validator, _vlines_validator
 from mplfinance._arg_validators import _alines_validator, _tlines_validator
+from mplfinance._arg_validators import _scale_padding_validator
 from mplfinance._arg_validators import _valid_panel_id
 
 from mplfinance._panels import _build_panels
@@ -237,6 +238,9 @@ def _valid_plot_kwargs():
 
         'saxbelow'                  : { 'Default'     : True,  # Issue#115 Comment#639446764
                                         'Validator'   : lambda value: isinstance(value,bool) },
+        
+        'scale_padding'             : { 'Default'     : 1.0,   # Issue#193 
+                                        'Validator'   : lambda value: _scale_padding_validator(value) },
     }
 
     _validate_vkwargs_dict(vkwargs)