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What are the aspect ratios for all Android phone and tablet devices?
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5 Answers
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How does numpy.histogram() work?
...n choose them automatically from the input, if none are specified. If bins=5, for example, it will use 5 bins of equal width spread between the minimum input value and the maximum input value.
The input values are 1, 2 and 1. Therefore, bin "1 to 2" contains two occurrences (the two 1 values), and ...
How to select rows from a DataFrame based on column values?
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4135
To select rows whose column value equals a scalar, some_value, use ==:
df.loc[df['column_name']...
Emulate ggplot2 default color palette
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It is just equally spaced hues around the color wheel, starting from 15:
gg_color_hue <- function(n) {
hues = seq(15, 375, length = n + 1)
hcl(h = hues, l = 65, c = 100)[1:n]
}
For example:
n = 4
cols = gg_color_hue(n)
dev.new(width = 4, height = 4)
plot(1:n, pch = 16, cex = 2, col ...
Java: how can I split an ArrayList in multiple small ArrayLists?
...t<Integer> numbers = new ArrayList<Integer>(
Arrays.asList(5,3,1,2,9,5,0,7)
);
List<Integer> head = numbers.subList(0, 4);
List<Integer> tail = numbers.subList(4, 8);
System.out.println(head); // prints "[5, 3, 1, 2]"
System.out.println(tail); // prints "[9, 5, 0, 7]"
C...
How to configure PostgreSQL to accept all incoming connections
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5 Answers
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How to make good reproducible pandas examples
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Assign pandas dataframe column dtypes
...d.DataFrame({'x': {0: 'a', 1: 'b'}, 'y': {0: '1', 1: '2'}, 'z': {0: '2018-05-01', 1: '2018-05-02'}})
df.dtypes
x object
y object
z object
dtype: object
df
x y z
0 a 1 2018-05-01
1 b 2 2018-05-02
You can apply these to each column you want to convert:
df["y"] = pd....
Mysql adding user for remote access
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edited Aug 28 '19 at 8:57
Ali Raza
322 bronze badges
answered Apr 29 '13 at 20:58
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How to set a single, main title above all the subplots with Pyplot?
...np
fig=plt.figure()
data=np.arange(900).reshape((30,30))
for i in range(1,5):
ax=fig.add_subplot(2,2,i)
ax.imshow(data)
fig.suptitle('Main title') # or plt.suptitle('Main title')
plt.show()
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