Python program to demonstrate the example how does numpy.where() work # Import numpyimportnumpyasnp# Creating an arrayarr=np.arange(100)# Display original arrayprint("Original Array:\n",arr,"\n")# Using numpy whereres=np.where(arr>50)# Display resultprint("Result:\n",res,"\n") Output The output of the above p...
How to append data to a parsed XML object - Python I am trying to take an xml document parsed with lxml objectify in python and add subelements to it. The problem is that I can't work out how to do this. The only real option I've found is a complete r... ...
File "D:\Program Files\Python\lib\_strptime.py", line 568, in _strptime_datetime tt, fraction, gmtoff_fraction = _strptime(data_string, format) File "D:\Program Files\Python\lib\_strptime.py", line 349, in _strptime raise ValueError("time data %r does not match format %r" % ValueErr...
How to append data to a parsed XML object - Python I am trying to take an xml document parsed with lxml objectify in python and add subelements to it. The problem is that I can't work out how to do this. The only real option I've found is a complete r... ...
of type SET, the FIND_IN_SET() function is optimized to use bit arithmetic. Returns 0 if str is not in strlist or if strlist is the empty string. Returns NULL if either argument is NULL. This function does not work properly if the first argument contains a comma (“,”) character....
Not exactly what you’d hoped for. The reason this happened is because the and operator can only work with individual elements. It doesn’t understand arrays of values. When you write code such as test_array > -2, Python creates a Boolean array behind the scenes. While the where() ...
When accumulated_size has just been refreshed to zero Summary by Sourcery Bug Fixes: Fix an edge case where the download progress was not being updated correctly when the total downloaded size was...
Here’s a benchmark test using bothnumpy.whereand a native Python approach: import numpy as np import time array = np.random.randint(0, 100, size=100000000) # Using numpy.where start_time = time.time() result_np = np.where(array > 50, 'Greater', 'Smaller') ...
Bottom Line: Not yet unless you are solely Python and NodeJS based. IronFunctions IronFunctions are the current unsung heroes in my mind. Under heavy development starting in July of 2016, this is an easily consumable open source project that integrates well with Kubernetes while having the uniqu...
/home/zgoda/www/zgodowie/blog/models.py in save(self) 42 if not self.slug: 43 self.slug = slughifi(self.title) ---> 44 super(Label, self).save() 45 46 /home/zgoda/www/.python/lib/python2.4/site-packages/django/db/models/base.py in save(self, raw) 257 cursor.execute("INSERT ...