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How to format a number 0..9 to display with 2 digits (it's NOT a date)

I'd like to always show a number under 100 with 2 digits (example: 03, 05, 15...) 5 Answers ...
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Performance difference for control structures 'for' and 'foreach' in C#

... 130 Well, it partly depends on the exact type of list. It will also depend on the exact CLR you're u...
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Making heatmap from pandas DataFrame

...5, 4)), index=index, columns=columns) plt.pcolor(df) plt.yticks(np.arange(0.5, len(df.index), 1), df.index) plt.xticks(np.arange(0.5, len(df.columns), 1), df.columns) plt.show() This gives: share | ...
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Get path of executable

... | edited Nov 20 '17 at 6:57 James Mart 42033 silver badges1313 bronze badges answered Oct 6 ...
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Performant Entity Serialization: BSON vs MessagePack (vs JSON)

...:2} is stored in a file and you want to update the value of "a" from 1 to 2000. With MessagePack, 1 uses only 1 byte but 2000 uses 3 bytes. So "b" must be moved backward by 2 bytes, while "b" is not modified. With BSON, both 1 and 2000 use 5 bytes. Because of this verbosity, you don't have to move...
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How do I get the directory that a program is running from?

...ytes = MIN(readlink("/proc/self/exe", pBuf, len), len - 1); if(bytes >= 0) pBuf[bytes] = '\0'; return bytes; share | improve this answer | follow | ...
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How do I create a random alpha-numeric string in C++?

... +100 Mehrdad Afshari's answer would do the trick, but I found it a bit too verbose for this simple task. Look-up tables can sometimes do w...
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How to reshape data from long to wide format

... answered May 4 '11 at 23:20 ChaseChase 59.5k1515 gold badges131131 silver badges157157 bronze badges ...
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Cosine Similarity between 2 Number Lists

... 180 You should try SciPy. It has a bunch of useful scientific routines for example, "routines for co...
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Change one value based on another value in pandas

... for you. import pandas df = pandas.read_csv("test.csv") df.loc[df.ID == 103, 'FirstName'] = "Matt" df.loc[df.ID == 103, 'LastName'] = "Jones" As mentioned in the comments, you can also do the assignment to both columns in one shot: df.loc[df.ID == 103, ['FirstName', 'LastName']] = 'Matt', 'Jone...