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deleting rows in numpy array
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157
The simplest way to delete rows and columns from arrays is the numpy.delete method.
Suppose I ...
How can I profile Python code line-by-line?
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5 Answers
5
Active
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How to find the installed pandas version
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375
Check pandas.__version__:
In [76]: import pandas as pd
In [77]: pd.__version__
Out[77]: '0.12....
Tricky Google interview question
...; v(n);
v[0] = 1;
int i2 = 0; // Index for 2
int i5 = 0; // Index for 5
int x2 = 2 * v[i2]; // Next two candidates
int x5 = 5 * v[i5];
for (int i = 1; i != n; ++i)
{
int m = std::min(x2, x5);
std::cout << m << " "...
Index all *except* one item in python
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115
For a list, you could use a list comp. For example, to make b a copy of a without the 3rd eleme...
Getting individual colors from a color map in matplotlib
...mport matplotlib
cmap = matplotlib.cm.get_cmap('Spectral')
rgba = cmap(0.5)
print(rgba) # (0.99807766255210428, 0.99923106502084169, 0.74602077638401709, 1.0)
For values outside of the range [0.0, 1.0] it will return the under and over colour (respectively). This, by default, is the minimum and ...
How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
...er pandas:]
You could use the function isnull instead of the method:
In [56]: df = pd.DataFrame([range(3), [0, np.NaN, 0], [0, 0, np.NaN], range(3), range(3)])
In [57]: df
Out[57]:
0 1 2
0 0 1 2
1 0 NaN 0
2 0 0 NaN
3 0 1 2
4 0 1 2
In [58]: pd.isnull(df)
Out[58]:
...
Python and pip, list all versions of a package that's available?
...re available:
$ pip install yolk3k
$ yolk -V django
Django 1.3
Django 1.2.5
Django 1.2.4
Django 1.2.3
Django 1.2.2
Django 1.2.1
Django 1.2
Django 1.1.4
Django 1.1.3
Django 1.1.2
Django 1.0.4
yolk3k is a fork of the original yolk which ceased development in 2012. Though yolk is no longer maintaine...
Why does Math.round(0.49999999999999994) return 1?
In the following program you can see that each value slightly less than .5 is rounded down, except for 0.5 .
5 Answers
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pandas: filter rows of DataFrame with operator chaining
...the boolean index.
In [96]: df
Out[96]:
A B C D
a 1 4 9 1
b 4 5 0 2
c 5 5 1 0
d 1 3 9 6
In [99]: df[(df.A == 1) & (df.D == 6)]
Out[99]:
A B C D
d 1 3 9 6
If you want to chain methods, you can add your own mask method and use that one.
In [90]: def mask(df, ke...