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Assign pandas dataframe column dtypes
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Since 0.17, you have to use the explicit conversions:
pd.to_datetime, pd.to_timedelta and pd.to_numeric
(As mentioned below, no more "magic", convert_objects has been deprecated in 0.17)
df = pd.DataFrame({'x': {0: 'a', 1: 'b'}...
Multiple aggregations of the same column using pandas GroupBy.agg()
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You can simply pass the functions as a list:
In [20]: df.groupby("dummy").agg({"returns": [np.mean, np.sum]})
Out[20]:
mean sum
dummy
1 0.036901 0.369012
or as a dictionary:
In [21]: df.groupby('dummy').agg({'returns':
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How do I get Month and Date of JavaScript in 2 digit format?
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("0" + this.getDate()).slice(-2)
for the date, and similar:
("0" + (this.getMonth() + 1)).slice(-2)
for the month.
share
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Grid of responsive squares
... you can code :
HTML :
<div></div>
CSS
div {
width: 30%;
padding-bottom: 30%; /* = width for a square aspect ratio */
}
Here is a simple layout example of 3*3 squares grid using the code above.
With this technique, you can make any other aspect ratio, here is a table giv...
How do I create a list of random numbers without duplicates?
I tried using random.randint(0, 100) , but some numbers were the same. Is there a method/module to create a list unique random numbers?
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Numpy - add row to array
...pare its row to a number: i < 3?
EDIT after OP's comment:
A = array([[0, 1, 2], [0, 2, 0]])
X = array([[0, 1, 2], [1, 2, 0], [2, 1, 2], [3, 2, 0]])
add to A all rows from X where the first element < 3:
import numpy as np
A = np.vstack((A, X[X[:,0] < 3]))
# returns:
array([[0, 1, 2],
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What's the difference between --general-numeric-sort and --numeric-sort options in gnu sort
... compares the numbers as floats, this allows scientific notation eg 1.234E10 but is slower and subject to rounding error (1.2345678 could come after 1.2345679), numeric sort is just a regular alphabetic sort that knows 10 comes after 9.
See http://www.gnu.org/software/coreutils/manual/html_nod...
How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
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230
For fitting y = A + B log x, just fit y against (log x).
>>> x = numpy.array([1, 7, 20...
How to determine CPU and memory consumption from inside a process?
... now;
lastUserCPU = user;
lastSysCPU = sys;
return percent * 100;
}
Linux
On Linux the choice that seemed obvious at first was to use the POSIX APIs like getrusage() etc. I spent some time trying to get this to work, but never got meaningful values. When I finally checked the kern...
Mysql adding user for remote access
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In order to connect remotely you have to have MySQL bind port 3306 to your machine's IP address in my.cnf. Then you have to have created the user in both localhost and '%' wildcard and grant permissions on all DB's as such . See below:
my.cnf (my.ini on windows)
#Replace xxx with your I...