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Pandas: create two new columns in a dataframe with values calculated from a pre-existing column

... 119 I'd just use zip: In [1]: from pandas import * In [2]: def calculate(x): ...: return ...
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Assign pandas dataframe column dtypes

... Since 0.17, you have to use the explicit conversions: pd.to_datetime, pd.to_timedelta and pd.to_numeric (As mentioned below, no more "magic", convert_objects has been deprecated in 0.17) df = pd.DataFrame({'x': {0: 'a', 1: 'b'}, ...
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Update multiple rows in same query using PostgreSQL

...izable: update test as t set column_a = c.column_a from (values ('123', 1), ('345', 2) ) as c(column_b, column_a) where c.column_b = t.column_b; You can add as many columns as you like: update test as t set column_a = c.column_a, column_c = c.column_c from (values ('12...
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Get type of all variables

... 110 You need to use get to obtain the value rather than the character name of the object as return...
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Add missing dates to pandas dataframe

...u could use Series.reindex: import pandas as pd idx = pd.date_range('09-01-2013', '09-30-2013') s = pd.Series({'09-02-2013': 2, '09-03-2013': 10, '09-06-2013': 5, '09-07-2013': 1}) s.index = pd.DatetimeIndex(s.index) s = s.reindex(idx, fill_value=0) p...
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Why is parenthesis in print voluntary in Python 2.7?

... 107 In Python 2.x print is actually a special statement and not a function*. This is also why it ...
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Most efficient way of making an if-elif-elif-else statement when the else is done the most?

... 100 The code... options.get(something, doThisMostOfTheTime)() ...looks like it ought to be fast...
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How to use JavaScript variables in jQuery selectors?

... | edited Jun 25 '15 at 5:31 answered May 5 '11 at 2:10 ...
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Add to Array jQuery

... 301 For JavaScript arrays, you use push(). var a = []; a.push(12); a.push(32); For jQuery objects...
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Python Dictionary to URL Parameters

... key-value pairs, and converts it into a form suitable for a URL (e.g., key1=val1&key2=val2). If you are using Python3, use urllib.parse.urlencode() If you want to make a URL with repetitive params such as: p=1&p=2&p=3 you have two options: >>> import urllib >>> a = ...