python-3.5

As far as I understand it, == checks for equality of value, and is checks for identity of structure behind value (as, say === in some other languages). Given that, I don't understand the following: np.isnan(30) == False Out[19]: True np.isnan(30) is False Out[20]: False It appears not to be the case with other identity checks: (5 == 4) == False Out[22]: True (5 == 4) is False Out[23]: True It appears as if np.isnan() returns False as a value, but not as identity. Why is that the case? numpy.isnan() returns a compatible type object: >>> import numpy >>> type(numpy.isnan(0)) <class 'numpy.bool_'

I'm on CentOS and trying to configure Apache to use mod_wsgi compiled against Anaconda Python 3.5. Compiling mod_wsgi seems to go OK: sudo yum install httpd-devel sudo ./configure --with-python=/opt/anaconda/anaconda3/bin/python sudo make ls -l /etc/httpd/modules/mod_wsgi.so -rwxr-xr-x. 1 root root 702205 Mar 2 23:12 /etc/httpd/modules/mod_wsgi.so But when I start the web server it can't seem to find its libraries: sudo service httpd start Starting httpd: httpd: Syntax error on line 221 of /etc/httpd/conf/httpd.conf: Syntax error on line 1 of /etc/httpd/conf.d/wsgi.conf: Cannot load /etc/httpd

I am using the following code to upload a file on server using FTP after editing it: import fileinput file = open('example.php','rb+') for line in fileinput.input('example.php'): if 'Original' in line : file.write( line.replace('Original', 'Replacement')) file.close() There is one thing, instead of replacing the text in its original place, the code adds the replaced text at the end and the text in original place is unchanged. Also, instead of just the replaced text, it prints out the whole line. Could anyone please tell me how to resolve these two errors? dot.Py 1) The code adds the replaced

I've achieved the following plot with a combination networkx and graphviz: I'm very happy with the result. In the plot you can identify what I call aggregation nodes: those are the latest green ones (where all the green nodes converge) one hop before the orange ones. What I'd like to achieve is the following: 1) Put labels on the sides of the nodes. As you can see, the labels are over them and it's difficult to read; 2) Only show labels on the aggregation nodes and the orange ones. This is how I get to plot the diagram. # We create the graph G = nx.DiGraph() # We add nodes and edges G.add

I've a nested dictionary. >>> foo = {'m': {'a': 10}, 'n': {'a': 20}} >>> I'd like to filter specific values, based on the values of 'a'. I can use list comprehensions for the purpose. >>> [foo[n] for n in foo if foo[n]['a'] == 10] [{'a': 10}] >>> Using list alone gives me the elements from foo (and not the values of the elements) - as expected: >>> list(filter(lambda x: foo[x] if foo[x]['a']==10 else None,foo)) ['m'] >>> Using map returns me unwanted 'None' values: >>> list(map(lambda x: foo[x] if foo[x]['a']==10 else None,foo)) [{'a': 10}, None] >>> Combining these two, I can fetch the

I am trying to make a simple music player but I keep getting this error: Traceback (most recent call last): File "C:/Users/nickw/PycharmProjects/untitled1/music player", line 28, in <module> slider = tk.Scale(window, from_=100, to=0, command=setVolume) File "C:\Users\nickw\AppData\Local\Programs\Python\Python35-32\lib\tkinter\__init__.py", line 2856, in __init__ Widget.__init__(self, master, 'scale', cnf, kw) File "C:\Users\nickw\AppData\Local\Programs\Python\Python35-32\lib\tkinter\__init__.py", line 2132, in __init__ BaseWidget._setup(self, master, cnf) File "C:\Users\nickw\AppData\Local

I have timestamped sensor data. Because of technical details, I get data from the sensors at approximately one minute intervals. The data may look like this: tstamp val 0 2016-09-01 00:00:00 57 1 2016-09-01 00:01:00 57 2 2016-09-01 00:02:23 57 3 2016-09-01 00:03:04 57 4 2016-09-01 00:03:58 58 5 2016-09-01 00:05:00 60 Now, essentially, I would be extremely happy if I got all data at the exact minute, but I don't. The only way to conserve the distribution and have data at each minute is to interpolate. For example, between row indexes 1 and 2 there are 83 seconds, and the natural way to get a