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Combine two columns of text in pandas dataframe
...f["period"] = df["Year"].astype(str) + df["quarter"]
Beware of NaNs when doing this!
If you need to join multiple string columns, you can use agg:
df['period'] = df[['Year', 'quarter', ...]].agg('-'.join, axis=1)
Where "-" is the separator.
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receiver type *** for instance message is a forward declaration
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If you're trying to use Swift objects in Objective-C, don't forget they have to inherit from NSObject.
– Michal Šrůtek
Feb 20 at 14:16
add a comment
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Simulate limited bandwidth from within Chrome?
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I'd recommend Charles Proxy - you can choose to slowdown individual sites, also has a whole bunch of HTTP inspection tools.
Edit:
As of June 2014, Chrome now has the ability to do this natively in DevTools - you'll need Chrome 38 though.
The option is accessible from the Ne...
Postgres DB Size Command
... @philpirozhkov Connect to a database first (\c dbname), then do \d+.
– chappjc
Jan 15 '19 at 15:53
Is th...
Flask-SQLalchemy update a row's information
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Retrieve an object using the tutorial shown in the Flask-SQLAlchemy documentation. Once you have the entity that you want to change, change the entity itself. Then, db.session.commit().
For example:
admin = User.query.filter_by(username='admin').first()
admin.email = 'my_new_email@example.c...
What does static_assert do, and what would you use it for?
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This answer doesn't provide any details on what's the difference between assert from <cassert> and static_assert
– bitek
Jan 16 '13 at 15:23
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Using “like” wildcard in prepared statement
... value itself, not in the prepared statement SQL string.
So, this should do for a prefix-match:
notes = notes
.replace("!", "!!")
.replace("%", "!%")
.replace("_", "!_")
.replace("[", "