A short field report. Python 2.6.2 installed and working with the
latest versions of:
numpy
scipy
MySQLdb
gnuplot.py and gnuplot
rpy and R 2.9.1
PyScripter
PyWin32
Rpyc 2.6
The little bit of 3.n syntax I have tried works.
So far, this seems like a stable and trouble-free stack.
Thanks for the f
On Thu, Jul 30, 2009 at 12:33 PM, Neil
Martinsen-Burrell wrote:
> On 2009-07-30 14:13 , BBands wrote:
>> Could someone point me toward some information on Scipy/Numpy and
>> Python 3.1? I'd like to upgrade, but can't seem to find the path.
>
> There is no such path
Could someone point me toward some information on Scipy/Numpy and
Python 3.1? I'd like to upgrade, but can't seem to find the path.
jab
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Good afternoon,
The following works:
import pyodbc
import numpy as np
connection = pyodbc.connect('DSN=DSNname')
cursor = connection.cursor()
symbol = 'ibm'
request = "select to_days(Date), Close from price where symbol = '" +
symbol + "' and date > '2006-01-01'"
for row in cursor.execute(reques
If I have a NumPy array like so:
[[1, 12],
[2, 13],
[3, 14],
[4, 15],
[5, 16],
[6, 15],
[7, 14]]
How can I do an inplace diff, ending up with this?
[[1, 0],
[2, 1],
[3, 1],
[4, 1],
[5, 1],
[6, -1],
[7, -1]]
Also, can I covert to natural logs in place?
[[1, 2.4849],
[2, 2.5649],
[
