On 10/14/10 9:52 PM, Alessio Civ wrote:
> Let' put things this way: if you have to work with many records, it is
> better if you have a database.
pyTables is worth a look, too"
http://www.pytables.org/moin
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/N
Let' put things this way: if you have to work with many records, it is
better if you have a database.
With a database you can query what you need and only this is worthed the
effort of using a DB.
butterw wrote:
>
> Hi Alessio,
>
> Thank you for the sqlite code example.
>
> What have been t
Hi Alessio,
Thank you for the sqlite code example.
What have been the key advantages of using a Database over a
structured array for your applications ?
http://docs.python.org/library/sqlite3.html :
SQLite is a C library that provides a lightweight disk-based database
that doesn’t require a sepa
Hi Butterw,
first of all, if you are working on data a lot, we could get in contact. I
need to work better on my scripts and we could help each other.
I've uploaded my script that imports from csv to sqlite. It's not a totally
clean script, as I am working on something else now I couldn't clean
Hi,
To load csv data, I use a modified version of csv2rec for which the
data type of each column is specified explicitly in the data file.
By removing the dtype guessing you get a speedup and you also avoid
potential mess-ups.
Alessio: sadly you right about it not being possible to trust Excel
Hi,
a strong advice from someone who is using excel format with tons of data is
to save them in csv and then import in Sqlite.
Excel messes up the data types and gives a lot of troubles with numbers.
Sqlite is fast and data are secure.
The power of this system is that you can query your data an
On Thu, Oct 7, 2010 at 12:27 PM, Michael Droettboom wrote:
> You may want to look at this as well:
>
> http://matplotlib.sourceforge.net/api/mlab_api.html?highlight=csv#matplotlib.mlab.csv2rec
And these examples:
http://matplotlib.sourceforge.net/search.html?q=codex+csv2rec
JDH
You may want to look at this as well:
http://matplotlib.sourceforge.net/api/mlab_api.html?highlight=csv#matplotlib.mlab.csv2rec
Mike
On 10/07/2010 01:04 PM, João Luís Silva wrote:
> On 10/07/2010 05:11 PM, Jahan Mohiuddin wrote:
>> Hi,
>>
>> I am an novice-intermediate user of python (I took a
On 10/07/2010 05:11 PM, Jahan Mohiuddin wrote:
> Hi,
>
> I am an novice-intermediate user of python (I took a 1 semester course
> in scientific programming with python). I wanted to know what the best
> way is to manipulate, analyze, and plot Microsoft Excel data. The
> methods I've looked into:
>
Hi,
I am an novice-intermediate user of python (I took a 1 semester course
in scientific programming with python). I wanted to know what the
best way is to manipulate, analyze, and plot Microsoft Excel data.
The methods I've looked into:
1. Save data in CSV file and use csv.dictreader
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