df_wrapcols() and make_left_formatter() helpers.

Author: DanielGoldfarb

.gitignore

@@ -7,3 +7,21 @@ __pycache__
 .tox/
 .cache/
 *.code-workspace
+examples/.ipynb_checkpoints/
+examples/scratch_pad/.ipynb_checkpoints/
+examples/issue461.py
+examples/macd.py
+examples/mpf_demo2.py
+examples/price-movement_plots.retcalcvals.ipynb
+examples/scratch_pad/comp.csv
+examples/scratch_pad/issue466.py
+examples/scratch_pad/issues/.ipynb_checkpoints/
+examples/scratch_pad/issues/issue430.orig.py
+examples/scratch_pad/issues/issue430.py
+examples/scratch_pad/issues/issue455/
+examples/scratch_pad/issues/issue487_pie_chart.ipynb
+examples/scratch_pad/so70145937.ipynb
+examples/scratch_pad/so70240809.ipynb
+examples/scratch_pad/so70418851.py
+examples/scratch_pad/so70418851_data.csv
+examples/scratch_pad/so70498007.ipynb

examples/scratch_pad/fmtr.py

@@ -0,0 +1,108 @@
+####################################################################
+#
+# https://stackoverflow.com/questions/25777037/how-can-i-left-justify-text-in-a-pandas-dataframe-column-in-an-ipython-notebook
+#
+####################################################################
+
+import mplfinance as mpf
+import pandas as pd
+import textwrap
+
+vk = mpf.plotting._valid_plot_kwargs()
+
+df = (pd.DataFrame(vk).T.head(18)).drop('Validator',axis=1)
+
+df['Kwarg'] = df.index.values
+df['Default'] = ["'"+d+"'" if isinstance(d,str) else str(d) for d in df['Default']]
+
+df = df[['Kwarg','Default','Description']]
+df = df.head(5).append(df.tail(7))
+
+# df.sort_index(inplace=True)
+
+df 
+
+print('===========================')
+
+print(df)
+
+print('===========================')
+
+def make_left_formatter(maxwidth):
+    wm3 = maxwidth-3
+    w   = maxwidth
+    def left_formatter(value):
+        if not isinstance(value,str):
+            return f'{value:<}'
+        elif value[0:maxwidth] == '-'*maxwidth:
+            return f'{value:<{w}.{w}s}'
+        #elif len(value) > maxwidth and value[0:maxwidth] != '-'*maxwidth:
+        elif len(value) > maxwidth:
+            return f'{value:<{wm3}.{wm3}s}...'
+        else:
+            return f'{value:<{w}.{w}s}'
+    return left_formatter
+
+WRAPLEN=55
+
+def df_wrapcol(df,wrap_column=None,wrap_length=None):
+
+    if wrap_column is None: return df
+    if wrap_length is None: return df
+
+    index = []
+    columns = {}
+    for col in df.columns:
+        columns[col] = []
+    nonwrapcols = [col for col in df.columns if col != wrap_column]
+
+    for ix in df.index:
+        row = df.loc[ix,]
+
+        swrap = str(row[wrap_column])
+        tw  = textwrap.wrap(swrap,wrap_length) if not swrap.isspace() else [' ']
+
+        columns[wrap_column].append(tw[0])
+        index.append(str(ix))
+        for col in nonwrapcols:
+            columns[col].append(row[col])
+
+        if len(tw) > 1:
+            for r in range(1,len(tw)):
+                columns[wrap_column].append(tw[r])
+                index.append(str(ix)+'.'+str(r))
+                for col in nonwrapcols:
+                    columns[col].append(' ')
+
+    return pd.DataFrame(columns,index=index)
+
+
+df = df_wrapcol(df,wrap_column='Description',wrap_length=WRAPLEN)
+print('===========================')
+print('dfnew1=',df)
+
+
+# print('===========================')
+# df.columns = [ ' '+col for col in df.columns ]
+
+dividers = []
+for col in df.columns:
+    dividers.append('-'*int(df[col].str.len().max()))
+dfd = pd.DataFrame(dividers).T
+dfd.columns = df.columns
+dfd.index = pd.Index(['---'])
+
+print('===========================')
+
+df = dfd.append(df)
+
+fmts = {'Kwarg': make_left_formatter(df['Kwarg'].str.len().max()+1),
+        'Description': make_left_formatter(WRAPLEN),
+        'Default': make_left_formatter(8),
+       }
+s = df.to_string(formatters=fmts,index=False,justify='left')
+
+print('\n ',s.replace('\n','\n  '))
+
+print('===========================')
+