Find full path of the Python interpreter (Python executable)?
sys.executable contains full path of the currently running Python interpreter. import sys print(sys.executable) which is now documented here
sys.executable contains full path of the currently running Python interpreter. import sys print(sys.executable) which is now documented here
In the end, the most simple thing (calculating the coefficient with a riemann sum) was the most portable/efficient/robust way to solve my problem: import numpy as np def cn(n): c = y*np.exp(-1j*2*n*np.pi*time/period) return c.sum()/c.size def f(x, Nh): f = np.array([2*cn(i)*np.exp(1j*2*i*np.pi*x/period) for i in range(1,Nh+1)]) return f.sum() y2 = np.array([f(t,50).real for t in time]) plot(time, y) … Read more
The problem in your initial definition of the class is that you’ve written: class name(object, name): This means that the class inherits the base class called “object”, and the base class called “name”. However, there is no base class called “name”, so it fails. Instead, all you need to do is have the variable in … Read more
Had the same issue and in my case solution was very easy, however it wasn’t easy to find it. I had to remove and insert nvidia_uvm module. So: > sudo rmmod nvidia_uvm > sudo modprobe nvidia_uvm That’s all. Just before these command collect_env.py reported “Is CUDA available: False”. After: “Is CUDA available: True”
Timer expects a sequence (normally, a list or tuple) of arguments and a mapping (normally, a dict) of keyword arguments, so pass a list instead: import threading def hello(arg): print(arg) t = threading.Timer(2, hello, [“bb”]) t.start() while 1: pass Since “bb” is an iterable, the Timer will iterate over it and use each element as … Read more
This is an old post, but I ran into a problem with the actual database column names not matching the mapped attribute names on the instance. We ended up going with this: from sqlalchemy import inspect inst = inspect(model) attr_names = [c_attr.key for c_attr in inst.mapper.column_attrs] Hope that helps somebody with the same problem!
Install setuptools in your machine pip install setuptools This solved my problem
Use dropna with parameter subset for specify column for check NaNs: data = data.dropna(subset=[‘sms’]) print (data) id city department sms category 1 2 lhr revenue good 1 Another solution with boolean indexing and notnull: data = data[data[‘sms’].notnull()] print (data) id city department sms category 1 2 lhr revenue good 1 Alternative with query: print (data.query(“sms … Read more
How about this: in python 2.x : def slicedict(d, s): return {k:v for k,v in d.iteritems() if k.startswith(s)} In python 3.x : def slicedict(d, s): return {k:v for k,v in d.items() if k.startswith(s)}
The main logic of creating a function is to isolate the comprehension’s iteration variablepeps.python.org. By creating a function: Comprehension iteration variables remain isolated and don’t overwrite a variable of the same name in the outer scope, nor are they visible after the comprehension However, this is inefficient at runtime. Due to this reason, python-3.12 implemented … Read more