Can be done as follow: from scipy.misc import imread, imsave, imresize image = imread(f_name) if(len(image.shape)<3): print ‘gray’ elif len(image.shape)==3: print ‘Color(RGB)’ else: print ‘others’
Python 3.x does have reduce, you just have to do a from functools import reduce. It also has “dict comprehensions”, which have exactly the syntax in your example. Python 2.7 and 3.x also have a Counter class which does exactly what you want: from collections import Counter cnt = Counter(“abracadabra”) In Python 2.6 or earlier, … Read more
It is already a list: >>> type(my_set) <class ‘list’> Do you want something like: >>> my_set = set([1, 2, 3, 4]) >>> my_list = list(my_set) >>> print(my_list) [1, 2, 3, 4] EDIT: Output of your last comment: >>> my_list = [1,2,3,4] >>> my_set = set(my_list) >>> my_new_list = list(my_set) >>> print(my_new_list) [1, 2, 3, 4] … Read more
This line: str_time = datetime.strptime(Datetime, “%m/%j/%y %H:%M”) returns a datetime object as per the docs. You can test this yourself by running the following command interactively in the interpreter: >>> import datetime >>> datetime.datetime.strptime(’12/31/13 00:12′, “%m/%j/%y %H:%M”) datetime.datetime(2013, 1, 31, 0, 12) >>> The time portion of the returned datetime can then be accessed using … Read more
The new Yajl – Yet Another JSON Library is very fast. yajl serialize: 0.180 deserialize: 0.182 total: 0.362 simplejson serialize: 0.840 deserialize: 0.490 total: 1.331 stdlib json serialize: 2.812 deserialize: 8.725 total: 11.537 You can compare the libraries yourself. Update: UltraJSON is even faster.
The Counter class was added to the module in Python 2.7. You are most likely using Python 2.6 or older. From the collections.Counter() documentation: New in version 2.7. On python 2.5 or 2.6, use this backport instead.
You need to commit the data. Each SQL command is in a transaction and the transaction must be committed to write the transaction to the SQL Server so that it can be read by other SQL commands. Under MS SQL Server Management Studio the default is to allow auto-commit which means each SQL command immediately … Read more
The easiest solution is probably using lxml, where you can set a parser option to ignore white space between elements: >>> from lxml import etree >>> parser = etree.XMLParser(remove_blank_text=True) >>> xml_str=””‘<root> >>> <head></head> >>> <content></content> >>> </root>”’ >>> elem = etree.XML(xml_str, parser=parser) >>> print etree.tostring(elem) <root><head/><content/></root> This will probably be enough for your needs, but … Read more
To get the values use sorted(data.values()) To get the matching keys, use a key function sorted(data, key=data.get) To get a list of tuples ordered by value sorted(data.items(), key=lambda x:x[1]) Related: see the discussion here: Dictionaries are ordered in Python 3.6+
The main source of problems I’ve had working with unicode strings is when you mix utf-8 encoded strings with unicode ones. For example, consider the following scripts. two.py # encoding: utf-8 name=”helló wörld from two” one.py # encoding: utf-8 from __future__ import unicode_literals import two name=”helló wörld from one” print name + two.name The output … Read more