mini starting example

Readme.md

@@ -20,7 +20,62 @@ Features
 * behaves quite like a pandas.DataFrame
 * additional align locator (`.aloc[]`)
 
-
+TL;DR
+-----
+**get it**
+```
+>>> from dios import DictOfSeries
+```
+**empty**
+```
+>>> DictOfSeries()
+Empty DictOfSeries
+Columns: []
+
+>>> DictOfSeries(columns=['x', 'y'])
+Empty DictOfSeries
+Columns: ['x', 'y']
+
+>>> DictOfSeries(columns=['x', 'y'], index=[3,4,5])
+     x |      y | 
+====== | ====== | 
+3  NaN | 3  NaN | 
+4  NaN | 4  NaN | 
+5  NaN | 5  NaN | 
+```
+**with data**
+```
+>>> DictOfSeries([range(4), range(2), range(3)])
+   0 |    1 |    2 | 
+==== | ==== | ==== | 
+0  0 | 0  0 | 0  0 | 
+1  1 | 1  1 | 1  1 | 
+2  2 |      | 2  2 | 
+3  3 |      |      | 
+
+>>> DictOfSeries(np.random.random([2,4]))
+          0 |           1 | 
+=========== | =========== | 
+0  0.112020 | 0  0.509881 | 
+1  0.108070 | 1  0.285779 | 
+2  0.851453 | 2  0.805933 | 
+3  0.138352 | 3  0.812339 | 
+
+>>> DictOfSeries(np.random.random([2,4]), columns=['a','b'], index=[11,12,13,14])
+           a |            b | 
+============ | ============ | 
+11  0.394304 | 11  0.356206 | 
+12  0.943689 | 12  0.735356 | 
+13  0.791820 | 13  0.066947 | 
+14  0.759802 | 14  0.496321 | 
+
+>>> DictOfSeries(dict(today=['spam']*3, tomorrow=['spam']*2))
+  today |   tomorrow | 
+======= | ========== | 
+0  spam | 0     spam | 
+1  spam | 1     spam | 
+2  spam |            | 
+```
 
 Pandas-like indexing
 --------------------