var searcher = new ManagementObjectSearcher( “select MaxClockSpeed from Win32_Processor”); foreach (var item in searcher.Get()) { var clockSpeed = (uint)item[“MaxClockSpeed”]; } if you wish to get other fields look at class Win32_processor
You can find it called Offset Aliases: A number of string aliases are given to useful common time series frequencies. We will refer to these aliases as offset aliases. Alias Description B business day frequency C custom business day frequency D calendar day frequency W weekly frequency M month end frequency SM semi-month end frequency … Read more
collections.Counter() has this covered if I understand your problem. The example from the docs would seem to match your problem. # Tally occurrences of words in a list cnt = Counter() for word in [‘red’, ‘blue’, ‘red’, ‘green’, ‘blue’, ‘blue’]: cnt[word] += 1 print cnt # Find the ten most common words in Hamlet import … Read more
A very simple way would be to use Luke. On the ‘Overview’ tab, there is a ‘Show top terms’ button that can be used for what you need.
SELECT t1.* FROM (SELECT tag, category, COUNT(*) AS count FROM tags INNER JOIN stuff USING (id) GROUP BY tag, category) t1 LEFT OUTER JOIN (SELECT tag, category, COUNT(*) AS count FROM tags INNER JOIN stuff USING (id) GROUP BY tag, category) t2 ON (t1.tag = t2.tag AND (t1.count < t2.count OR t1.count = t2.count AND … Read more
First you need to ensure that the result you are getting is correctly converted to a float/double. I’m not sure how the short[] version works, but the byte[] version only returns the raw byte version. This byte array then needs to be properly converted to a floating point number. The code for the conversion should … Read more
You can use rowSums. df$no_calls <- rowSums(df == “nc”) df # rsID sample1 sample2 sample3 sample1304 no_calls #1 abcd aa bb nc nc 2 #2 efgh nc nc nc nc 4 #3 ijkl aa ab aa nc 1 Or, as pointed out by MrFlick, to exclude the first column from the row sums, you can … Read more
geom_text is tha analog of text from base graphics: p + geom_bar() + stat_bin(aes(label=..count..), vjust=0, geom=”text”, position=”identity”) If you want to adjust the y-position of the labels, you can use the y= aesthetic within stat_bin: for example, y=..count..+1 will put the label one unit above the bar. The above also works if you use geom_text … Read more
The aubio libraries have been wrapped with SWIG and can thus be used by Python. Among their many features include several methods for pitch detection/estimation including the YIN algorithm and some harmonic comb algorithms. However, if you want something simpler, I wrote some code for pitch estimation some time ago and you can take it … Read more
I think this would be a good job for a collections.Counter: counts = collections.Counter(lst) new_list = sorted(lst, key=lambda x: -counts[x]) Alternatively, you could write the second line without a lambda: counts = collections.Counter(lst) new_list = sorted(lst, key=counts.get, reverse=True) If you have multiple elements with the same frequency and you care that those remain grouped, we … Read more