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What is the significance of initializing direction arrays below with given values when developing ch
...what move each index of the arrays will make from the central point, X, at 2,2.)
.....
.536.
.1X0.
.724.
.....
The way it is set up, if you do ^1 (^ being bitwise XOR) on the index you get the opposite direction - 0 and 1 are opposites, 2 and 3 are opposites and so on. (Another way to set it up i...
PHP: merge two arrays while keeping keys instead of reindexing?
...
You can simply 'add' the arrays:
>> $a = array(1, 2, 3);
array (
0 => 1,
1 => 2,
2 => 3,
)
>> $b = array("a" => 1, "b" => 2, "c" => 3)
array (
'a' => 1,
'b' => 2,
'c' => 3,
)
>> $a + $b
array (
0 => 1,
1 => 2,
2 ...
Remove rows with all or some NAs (missing values) in data.frame
... final[complete.cases(final), ]
gene hsap mmul mmus rnor cfam
2 ENSG00000199674 0 2 2 2 2
6 ENSG00000221312 0 1 2 3 2
na.omit is nicer for just removing all NA's. complete.cases allows partial selection by including only certain columns of the dataframe:
...
Pandas DataFrame column to list [duplicate]
...
270
You can use the Series.to_list method.
For example:
import pandas as pd
df = pd.DataFrame({...
Difference between '..' (double-dot) and '…' (triple-dot) in range generation?
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edited Dec 21 '16 at 0:33
answered Mar 13 '12 at 19:48
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Append column to pandas dataframe
...ust looking for a join:
> dat1 = pd.DataFrame({'dat1': [9,5]})
> dat2 = pd.DataFrame({'dat2': [7,6]})
> dat1.join(dat2)
dat1 dat2
0 9 7
1 5 6
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How to convert a boolean array to an int array
...t;>> x
array([ True, False, True], dtype=bool)
>>> x + [1, 2, 3]
array([2, 2, 4])
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...
What is the easiest way to push an element to the beginning of the array?
...elf, moving other elements upwards.
And in use:
irb>> a = [ 0, 1, 2]
=> [0, 1, 2]
irb>> a.unshift('x')
=> ["x", 0, 1, 2]
irb>> a.inspect
=> "["x", 0, 1, 2]"
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im...
How to remove specific elements in a numpy array
...index)
For your specific question:
import numpy as np
a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
index = [2, 3, 6]
new_a = np.delete(a, index)
print(new_a) #Prints `[1, 2, 5, 6, 8, 9]`
Note that numpy.delete() returns a new array since array scalars are immutable, similar to strings in Python...
Convert a row of a data frame to vector
...
answered Jan 23 '13 at 16:42
Ben BolkerBen Bolker
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