Databases
StackOverflow2013
Postsdbo
PO
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PO
    primarykey
    data
    text
    <pre><code>import re names = ['g18_84pp_2A_MVP1_GoodiesT0-HKJ-DFG_MIX-CMVP1_Y1000-MIX.txt', 'g18_84pp_2A_MVP2_GoodiesT0-HKJ-DFG_MIX-CMVP2_Y1000-MIX.txt', 'g18_84pp_2A_MVP3_GoodiesT0-HKJ-DFG_MIX-CMVP3_Y1000-MIX.txt', 'g18_84pp_2A_MVP4_GoodiesT0-HKJ-DFG_MIX-CMVP4_Y1000-MIX.txt', 'g18_84pp_2A_MVP5_GoodiesT0-HKJ-DFG_MIX-CMVP5_Y1000-MIX.txt', 'g18_84pp_2A_MVP6_GoodiesT0-HKJ-DFG_MIX-CMVP6_Y1000-MIX.txt', 'g18_84pp_2A_MVP7_GoodiesT0-HKJ-DFG_MIX-CMVP7_Y1000-MIX.txt'] f = lambda x: re.findall('g18_84pp_2A_MVP(.*?)_GoodiesT0(.*?)_MIX(.*?)\.txt', x) for x in names: print(f(x)) </code></pre> <p>Produces</p> <pre><code>[('1', '-HKJ-DFG', '-CMVP1_Y1000-MIX')] [('2', '-HKJ-DFG', '-CMVP2_Y1000-MIX')] [('3', '-HKJ-DFG', '-CMVP3_Y1000-MIX')] [('4', '-HKJ-DFG', '-CMVP4_Y1000-MIX')] [('5', '-HKJ-DFG', '-CMVP5_Y1000-MIX')] [('6', '-HKJ-DFG', '-CMVP6_Y1000-MIX')] [('7', '-HKJ-DFG', '-CMVP7_Y1000-MIX')] </code></pre> <p>Filter the names that doesn't match this pattern:</p> <pre><code>names = list(filter(f, names)) </code></pre> <p>Since it's unclear what you're trying to do, this is going to be a good starting point.</p> <p><strong>UPDATE</strong></p> <p>The question was updated. Here is what you (probably) want to achieve:</p> <pre><code>import re names = ['g18_84pp_2A_MVP1_GoodiesT0-HKJ-DFG_MIX-CMVP1_Y1000-MIX.txt', 'g18_84pp_2A_MVP2_GoodiesT0-HKJ-DFG_MIX-CMVP2_Y1000-MIX.txt', 'g18_84pp_2A_MVP3_GoodiesT0-HKJ-DFG_MIX-CMVP3_Y1000-MIX.txt', 'g18_84pp_2A_MVP4_GoodiesT0-HKJ-DFG_MIX-CMVP4_Y1000-MIX.txt', 'g18_84pp_2A_MVP5_GoodiesT0-HKJ-DFG_MIX-CMVP5_Y1000-MIX.txt', 'g18_84pp_2A_MVP6_GoodiesT0-HKJ-DFG_MIX-CMVP6_Y1000-MIX.txt', 'g18_84pp_2A_MVP7_GoodiesT0-HKJ-DFG_MIX-CMVP7_Y1000-MIX.txt'] expression = 'g18_84pp_2A_MVP(.*?)_Goodies(.*?)_MIX(.*?)\.txt' f = lambda x: re.findall(expression, x) _f = lambda x: len(re.findall(expression, x))==3 for x in names: print(f(x)) </code></pre> <p>Outputs</p> <pre><code>[('1', 'T0-HKJ-DFG', '-CMVP1_Y1000-MIX')] [('2', 'T0-HKJ-DFG', '-CMVP2_Y1000-MIX')] [('3', 'T0-HKJ-DFG', '-CMVP3_Y1000-MIX')] [('4', 'T0-HKJ-DFG', '-CMVP4_Y1000-MIX')] [('5', 'T0-HKJ-DFG', '-CMVP5_Y1000-MIX')] [('6', 'T0-HKJ-DFG', '-CMVP6_Y1000-MIX')] [('7', 'T0-HKJ-DFG', '-CMVP7_Y1000-MIX')] </code></pre> <p>If you need to filter the original list:</p> <pre><code>names = list(filter(_f, names)) </code></pre>
    singulars
    1. This table or related slice is empty.
    1. POHow to extract a common name from multipal filenames and delete something I don't want
      singulars
      1. PTQuestion
    1. PTAnswer
    1. USvaultah
    1. USvaultah
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. POHow to extract a common name from multipal filenames and delete something I don't want
      singulars
      1. PTQuestion
    1. This table or related slice is empty.
    1. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTAcceptedByOriginator
    2. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    1. COThank you. Very good approach. Is there any possible that I can only depend on the underscores? For example, separating filename as "g18_84pp_2A_MVP2", "_", "GoodiesT0", "-HKJ-DFG" "_", "MIX", "-CMVP2_Y1000-MIX", ".txt". B/C I have a lot of files have different names for separating parts.
      singulars
      1. PO
      1. USShengen
    2. CO@Shengen so you want to check if each name consists of `g18_84pp_2A_MVP`, number after it, `_Goodies`, anything till the first 'MIX', and something after the first `MIX` till the `.txt`?
      singulars
      1. PO
      1. USvaultah
    3. COright, just want to take `"g18_84pp_2A_MVP2"` without number `2`, take `"GoodiesT0"` from `"GoodiesT0-HKJ-DFG"` and take first `"MIX"` from `"MIX-CMVP2_Y1000-MIX"`.
      singulars
      1. PO
      1. USShengen
 

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