Let's see one simple example ...
>>> my_list = [1,2,3,22,33,11,33,'a','b','c','a']
>>> my_list = list(set(my_list))
>>> print my_list
['a', 1, 2, 3, 33, 11, 'c', 'b', 22]
As you can see the 33 and a items is removed.
Is a blog about python programming language. You can see my work with python programming language, tutorials and news.
>>> my_list = [1,2,3,22,33,11,33,'a','b','c','a']
>>> my_list = list(set(my_list))
>>> print my_list
['a', 1, 2, 3, 33, 11, 'c', 'b', 22]
You can use python google module to start searching anything using this module.
First you need to install the python module using pip.
# pip install google
Downloading/unpacking google
Downloading google-1.05.zip
Running setup.py egg_info for package google
Requirement already satisfied (use --upgrade to upgrade): beautifulsoup4
in /usr/local/lib/python2.7/dist-packages (from google)
Installing collected packages: google
Running setup.py install for google
changing mode of build/scripts-2.7/google.py from 644 to 755
changing mode of /usr/local/bin/google.py to 755
Successfully installed google
Cleaning up...
As you can see the next step is to upgrade: beautifulsoup4 ...
# pip install --upgrade beautifulsoup4
Downloading/unpacking beautifulsoup4 from https://pypi.python.org/packages/
source/b/beautifulsoup4/beautifulsoup4-4.3.2.tar.gz#md5=
b8d157a204d56512a4cc196e53e7d8ee
Downloading beautifulsoup4-4.3.2.tar.gz (143Kb): 143Kb downloaded
Running setup.py egg_info for package beautifulsoup4
Installing collected packages: beautifulsoup4
Found existing installation: beautifulsoup4 4.3.1
Uninstalling beautifulsoup4:
Successfully uninstalled beautifulsoup4
Running setup.py install for beautifulsoup4
Successfully installed beautifulsoup4
Cleaning up...
Let's make a simple script to find linux word using google.com ...
>>> from google import search
>>> for url in search('linux', tld='com', lang='en', stop=2):
... print(url)
...
http://en.wikipedia.org/wiki/Linux
http://en.wikipedia.org/wiki/Unix-like
http://en.wikipedia.org/wiki/Linus_Torvalds
http://en.wikipedia.org/wiki/Linux_kernel
http://en.wikipedia.org/wiki/List_of_Linux_distributions
...
If you want to know more about google search function then use this:
>>> help(google.search)
Help on function search in module google:
search(query, tld='com', lang='en', num=10, start=0, stop=None, pause=2.0)
Search the given query string using Google.
...
... and this is all.
$ python
Python 2.7.3 (default, Jan 2 2013, 16:53:07)
[GCC 4.7.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import sunpy
>>> from sunpy.net.helioviewer import HelioviewerClient
>>>
>>> hv = HelioviewerClient()
>>> datasources = hv.get_data_sources()
>>>
>>> # print a list of datasources and their associated ids
... for observatory, instruments in datasources.items():
... for inst, detectors in instruments.items():
... for det, measurements in detectors.items():
... for meas, params in measurements.items():
... print("%s %s: %d" % (observatory, params['nickname'], params['sourceId']))
...
Yohkoh SXT AlMgMn: 33
Yohkoh SXT thin-Al: 34
Yohkoh SXT white-light: 35
PROBA2 SWAP 174: 32
STEREO_A EUVI-A 195: 21
STEREO_A EUVI-A 304: 23
STEREO_A EUVI-A 284: 22
STEREO_A EUVI-A 171: 20
STEREO_A COR2-A: 29
STEREO_A COR1-A: 28
STEREO_B EUVI-B 195: 25
STEREO_B EUVI-B 304: 27
STEREO_B EUVI-B 284: 26
STEREO_B EUVI-B 171: 24
STEREO_B COR2-B: 31
STEREO_B COR1-B: 30
SOHO MDI Mag: 6
SOHO MDI Int: 7
SOHO EIT 195: 1
SOHO EIT 304: 3
SOHO EIT 284: 2
SOHO EIT 171: 0
SOHO LASCO C3: 5
SOHO LASCO C2: 4
SDO AIA 1700: 16
SDO AIA 211: 12
SDO AIA 335: 14
SDO AIA 1600: 15
SDO AIA 304: 13
SDO AIA 193: 11
SDO AIA 131: 9
SDO AIA 4500: 17
SDO AIA 94: 8
SDO AIA 171: 10
SDO HMI Mag: 19
SDO HMI Int: 18
This show me all instruments from sunpy. You see all instruments online here >>> hv.download_png('2013/11/29 00:15:00', 50, "[SOHO,LASCO,C3,white-light,1,100]", x0=0, y0=0, width=768, height=768)
The settings are : date and time , the image resolution (arcseconds per pixel), the SOHO LASCO C3 instrument with the layer visibility , center points and size
Today I will sow you some filters using python Image, ImageFilter and ImageChops.
I make this default python script to open one image and after will be delete from memory.See the default image:
I make also one python class named TEST_FILTER.
This class will have all data from filter, see filterargs.
The filterargs args it's one matrix and this will be the filter.
The default script ...
import Image
import ImageFilter
import ImageChops
class TEST_FILTER(ImageFilter.BuiltinFilter):
name="TestFilter"
filterargs = (3,3),10,0,(1,0,1,0,0,0,1,0,1)
def main ():
filename = "test-gentoo.jpg"
image = Image.open(filename);
del image;
if (__name__ =="__main__"):
main();
Let's try first filter : TEST_FILTER
import Image
import ImageFilter
import ImageChops
class TEST_FILTER(ImageFilter.BuiltinFilter):
name="TestFilter"
filterargs = (3,3),10,0,(1,0,1,0,0,0,1,0,1)
def main ():
filename = "test-gentoo.jpg"
image = Image.open(filename);
image.filter(TEST_FILTER).show();
del image;
if (__name__ =="__main__"):
main();
The result will be this:
Now for each filter will change this source code...
image.filter(TEST_FILTER).show();
...with the new filter source code.
Let's see some filters ...
EMBOSS - filter
image.filter(ImageFilter.EMBOSS).show();
FIND_EDGES - filter
image.filter(ImageFilter.FIND_EDGES).show();
BLUR - filter
image.filter(ImageFilter.BLUR).show();
CONTOUR - filter
image.filter(ImageFilter.CONTOUR).show();
DETAIL - filter
image.filter(ImageFilter.DETAIL).show();
EDGE_ENHANCE - filter
image.filter(ImageFilter.EDGE_ENHANCE).show();
Now image convert with bit 1.
image.convert("1").show();
Invert image with ImageChops.
ImageChops.invert(image).show();