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Why does ('0' ? 'a' : 'b') behave different than ('0' == true ? 'a' : 'b') [duplicate]
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What is the ultimate postal code and zip regex?
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Reduce, fold or scan (Left/Right)?
...first* operator arg `res`
// op: -4 - 4 = -8
// res: Int = -8
xs.foldLeft(0)(minus)
// op: 0 - 1 = -1
// op: -1 - 2 = -3
// op: -3 - 3 = -6
// op: -6 - 4 = -10
// res: Int = -10
xs.scanLeft(0)(minus)
// op: 0 - 1 = -1
// op: -1 - 2 = -3
// op: -3 - 3 = -6
// op: -6 - 4 = -10
// res: List[Int] = Li...
Run an OLS regression with Pandas Data Frame
...kage which was one of pandas' optional dependencies before pandas' version 0.20.0 (it was used for a few things in pandas.stats.)
>>> import pandas as pd
>>> import statsmodels.formula.api as sm
>>> df = pd.DataFrame({"A": [10,20,30,40,50], "B": [20, 30, 10, 40, 50], "C":...
Set every cell in matrix to 0 if that row or column contains a 0
Given a NxN matrix with 0s and 1s. Set every row that contains a 0 to all 0 s and set every column that contains a 0 to all 0 s.
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Numbering rows within groups in a data frame
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edited Mar 14 '17 at 22:06
Frank
62.4k88 gold badges8181 silver badges157157 bronze badges
answered Oc...
Sorting arrays in NumPy by column
... copy:
In [1]: import numpy as np
In [2]: a = np.array([[1,2,3],[4,5,6],[0,0,1]])
In [3]: np.sort(a.view('i8,i8,i8'), order=['f1'], axis=0).view(np.int)
Out[3]:
array([[0, 0, 1],
[1, 2, 3],
[4, 5, 6]])
To sort it in-place:
In [6]: a.view('i8,i8,i8').sort(order=['f1'], axis=0) #&...
Creating a CSS3 box-shadow on all sides but one
...paddings) and add shadow
#content {
font-size: 1.8em;
box-shadow: 0 0 8px 2px #888; /* line shadow */
}
add shadows to tabs:
#nav li a {
margin-left: 20px;
padding: .7em .5em .5em .5em;
font-size: 1.3em;
color: #FFF;
display: inline-block;
text-transform: uppercas...
Pandas - Get first row value of a given column
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To select the ith row, use iloc:
In [31]: df_test.iloc[0]
Out[31]:
ATime 1.2
X 2.0
Y 15.0
Z 2.0
Btime 1.2
C 12.0
D 25.0
E 12.0
Name: 0, dtype: float64
To select the ith value in the Btime column you could use:
In [30]: df_te...
pandas DataFrame: replace nan values with average of columns
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