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float64 with pandas to_csv
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df.to_csv('pandasfile.csv', float_format='%.3f')
or, if you don't want 0.0001 to be rounded to zero:
df.to_csv('pandasfile.csv', float_format='%g')
will give you:
Bob,0.085
Alice,0.005
in your output file.
For an explanation of %g, see Format Specification Mini-Language.
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NumPy or Pandas: Keeping array type as integer while having a NaN value
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This capability has been added to pandas (beginning with version 0.24):
https://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#optional-integer-na-support
At this point, it requires the use of extension dtype Int64 (capitalized), rather than the default dtype int64 (lowe...
How to “EXPIRE” the “HSET” child key in redis?
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edited Oct 3 '18 at 9:10
Erik Rothoff
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How do I do multiple CASE WHEN conditions using SQL Server 2008?
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10 Answers
10
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How to add item to the beginning of List?
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Use the Insert method:
ti.Insert(0, initialItem);
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How do I determine the dependencies of a .NET application?
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answered Oct 22 '08 at 23:41
Orion EdwardsOrion Edwards
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String formatting in Python 3
...ing a single argument twice (as @Burhan Khalid noted in the comments):
"({0.goals} goals, ${0.penalties})".format(self)
Explaining:
{} means just the next positional argument, with default format;
{0} means the argument with index 0, with default format;
{:d} is the next positional argument, wi...
When should I use Lazy?
I found this article about Lazy : Laziness in C# 4.0 – Lazy
7 Answers
7
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Most efficient way of making an if-elif-elif-else statement when the else is done the most?
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100
The code...
options.get(something, doThisMostOfTheTime)()
...looks like it ought to be faste...
Format decimal for percentage values?
...se the P format string. This will vary by culture:
String.Format("Value: {0:P2}.", 0.8526) // formats as 85.26 % (varies by culture)
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