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How do I use itertools.groupby()?
I haven't been able to find an understandable explanation of how to actually use Python's itertools.groupby() function. What I'm trying to do is this:
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How do I set the figure title and axes labels font size in Matplotlib?
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Functions dealing with text like label, title, etc. accept parameters same as matplotlib.text.Text. For the font size you can use size/fontsize:
from matplotlib import pyplot as plt
fig = plt.figure()
plt.plot(data)
fig.suptitle('test title', f...
Optimizing away a “while(1);” in C++0x
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Does someone have a good explanation of why this was necessary to allow?
Yes, Hans Boehm provides a rationale for this in N1528: Why undefined behavior for infinite loops?, although this is WG14 document the rationale applies to C++ as well and the ...
Example invalid utf8 string?
... Markus Kuhn's UTF-8 decoder capability and stress test file
You'll find examples of many UTF-8 irregularities, including lonely start bytes, continuation bytes missing, overlong sequences, etc.
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Drop columns whose name contains a specific string from pandas DataFrame
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Here is one way to do this:
df = df[df.columns.drop(list(df.filter(regex='Test')))]
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What is the iPad user agent?
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Mozilla/5.0(iPad; U; CPU iPhone OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B314 Safari/531.21.10
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Converting a generic list to a CSV string
...s.
List<int> myValues;
string csv = String.Join(",", myValues.Select(x => x.ToString()).ToArray());
For the general case:
IEnumerable<T> myList;
string csv = String.Join(",", myList.Select(x => x.ToString()).ToArray());
As you can see, it's effectively no different. Beware that y...
Compiler Ambiguous invocation error - anonymous method and method group with Func or Action
I have a scenario where I want to use method group syntax rather than anonymous methods (or lambda syntax) for calling a function.
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pandas DataFrame: replace nan values with average of columns
...ng set! Imagine it like this: We have 100 data rows and we consider column x. The first 99 entries of x are NA. We want to split off row 100 as a test set. Let's assume row 100 has value 20 in column x. Then you will replace all entries in the training set in column x with 20, a value coming 100% fr...
Python list of dictionaries search
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You can use a generator expression:
>>> dicts = [
... { "name": "Tom", "age": 10 },
... { "name": "Mark", "age": 5 },
... { "name": "Pam", "age": 7 },
... { "name": "Dick", "age": 12 }
... ]
>>> next(item for item ...