Databases
StackOverflow2013
Postsdbo
PO
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PO
    primarykey
    data
    text
    <p>You can use this:</p> <pre><code># Get rid of unwanted part of the string text='idle (images=green:200, inpadoc=green:60, other=green:1000, retrieval=green:200, search=green:30)' text = text[text.find(' ')+1:].strip('()') # Define the converter function def converter(string): [key,value] = string.split('=') # Split into ['images','green:200'] value = value.split(':') # Split into ['images',['green','200']] value[1] = int(value[1]) # Convert the number into int ['images',['green':200]] return [key,value] print dict(map(converter,text.split(', '))) </code></pre> <p>So first, you get rid of the 'idle' and the parentheses.</p> <p>Then you define the function to convert each entry (<code>images=green:200</code>) into a two-element list (<code>['images',['green',200]]</code>), which will be converted into dictionary automatically using the <code>dict</code> function.</p> <p>Using <code>map</code> function is faster than just iterating over the list, which is the beauty of Python.</p> <p>EDIT:</p> <p>Oops, apparently using this <code>map</code> function is not faster than simply iterating over the list.</p> <pre><code>import time startTime = time.time() for i in range(100000): dict(map(converter,text.split(', '))) print 'Done in %.3fs' % (time.time()-startTime) # Done in 1.703s startTime = time.time() for i in range(100000): result = {} for element in text.split(', '): [key,value] = element.split('=') value = value.split(':') value[1] = int(value[1]) result[key] = value print 'Done in %.3fs' % (time.time()-startTime) # Done in 1.405s </code></pre> <p>But you have your options to select. =D</p>
    singulars
    1. This table or related slice is empty.
    1. PObest way to create a dict of the given string in python
      singulars
      1. PTQuestion
    1. PTAnswer
    1. USjusthalf
    1. USjusthalf
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload