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How to make button look like a link?
...
button {
background: none!important;
border: none;
padding: 0!important;
/*optional*/
font-family: arial, sans-serif;
/*input has OS specific font-family*/
color: #069;
text-decoration: underline;
cursor: pointer;
}
<button> your button that looks like a link...
How do I create test and train samples from one dataframe with pandas?
...ering how I would be able to split the dataframe into two random samples (80% and 20%) for training and testing.
23 Answers...
Can you use CSS to mirror/flip text?
...|
edited Jun 4 '19 at 17:30
Hernán Eche
5,0951111 gold badges4141 silver badges7070 bronze badges
answe...
Git Tag list, display commit sha1 hashes
...can run:
git show-ref --tags
The output will then look something like:
0e76920bea4381cfc676825f3143fdd5fcf8c21f refs/tags/1.0.0
5ce9639ead3a54bd1cc062963804e5bcfcfe1e83 refs/tags/1.1.0
591eceaf92f99f69ea402c4ca639605e60963ee6 refs/tags/1.2.0
40414f41d0fb89f7a0d2f17736a906943c05acc9 refs/tags/1.3...
How to create a sequence of integers in C#?
...
206
You can use Enumerable.Range(0, 10);. Example:
var seq = Enumerable.Range(0, 10);
MSDN page ...
From ND to 1D arrays
...c = a.flatten()
If you just want an iterator, use np.ndarray.flat:
In [20]: d = a.flat
In [21]: d
Out[21]: <numpy.flatiter object at 0x8ec2068>
In [22]: list(d)
Out[22]: [1, 2, 3, 4, 5, 6]
share
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...
Numpy: Divide each row by a vector element
...combined with broadcasting:
In [6]: data - vector[:,None]
Out[6]:
array([[0, 0, 0],
[0, 0, 0],
[0, 0, 0]])
In [7]: data / vector[:,None]
Out[7]:
array([[1, 1, 1],
[1, 1, 1],
[1, 1, 1]])
share
...
Converting a column within pandas dataframe from int to string
...
In [16]: df = DataFrame(np.arange(10).reshape(5,2),columns=list('AB'))
In [17]: df
Out[17]:
A B
0 0 1
1 2 3
2 4 5
3 6 7
4 8 9
In [18]: df.dtypes
Out[18]:
A int64
B int64
dtype: object
Convert a series
In [19]: df['A'].apply(str)
Ou...
How can I plot with 2 different y-axes?
...ferent y axes on the same plot
(some material originally by Daniel Rajdl 2006/03/31 15:26)
Please note that there are very few situations where it is appropriate to use two different scales on the same plot. It is very easy to mislead the viewer of the graphic. Check the following two examples and...
How to set a single, main title above all the subplots with Pyplot?
...plotlib.pyplot as plt
import numpy as 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()
...