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Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
... counts
– alvitawa
Jun 24 '19 at 16:04
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Regular expression for matching HH:MM time format
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Your original regular expression has flaws: it wouldn't match 04:00 for example.
This may work better:
^([0-1]?[0-9]|2[0-3]):[0-5][0-9]$
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How to compare software version number using js? (only number)
...at if we have version strings that are not made up of just digits (e.g. "1.0a")?
What should happen if one version string has more parts than the other? Most likely "1.0" should be considered less than "1.0.1", but what about "1.0.0"?
Here's the code for an implementation that you can use directly...
Map Tiling Algorithm
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+50
The basic idea of this algorithm is to use a pre-processing step to find all edges and then select the correct smoothing tile accordin...
Convert pandas dataframe to NumPy array
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409
To convert a pandas dataframe (df) to a numpy ndarray, use this code:
df.values
array([[nan, ...
Normalize data in pandas
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In [92]: df
Out[92]:
a b c d
A -0.488816 0.863769 4.325608 -4.721202
B -11.937097 2.993993 -12.916784 -1.086236
C -5.569493 4.672679 -2.168464 -9.315900
D 8.892368 0.932785 4.535396 0.598124
In [93]: df_norm = (df - df.mean()) / (df.max() - df...
Linear Regression and group by in R
...ual time series with one field for year (22 years) and another for state (50 states). I want to fit a regression for each state so that at the end I have a vector of lm responses. I can imagine doing for loop for each state then doing the regression inside the loop and adding the results of each reg...
MDI CDockablePane使用总结 - C/C++ - 清泛网 - 专注C/C++及内核技术
...rToolBarId, uiLastUserToolBarId);
EnablePaneMenu(TRUE, ID_VIEW_CUSTOMIZE, 0, ID_VIEW_TOOLBAR);
CDockingManager::SetDockingMode(DT_SMART);
EnableAutoHidePanes(CBRS_ALIGN_ANY);
EnableDocking(CBRS_ALIGN_ANY);
（1） 第一种情况
if (!m_Panes[0].Create(_T("Pane 0"), this, CRe...
pandas DataFrame: replace nan values with average of columns
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Are list-comprehensions and functional functions faster than “for loops”?
...el loop:
>>> dis.dis(<the code object for `[x for x in range(10)]`>)
1 0 BUILD_LIST 0
3 LOAD_FAST 0 (.0)
>> 6 FOR_ITER 12 (to 21)
9 STORE_FAST 1 (x)
12 LOAD_FAST...