cantera | Chemical kinetics , thermodynamics , and transport tool suite | Dataset library
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Chemical kinetics, thermodynamics, and transport tool suite
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QUESTION
I'm getting all the Tweets that I need from a Twitter account. More than 200 Tweets; for example 500, 600, ...
I'm using the Tweepy library to help me to do this with Python, and I have created this object to do this.
...ANSWER
Answered 2021-Jun-14 at 18:22From the documentation for Twitter's standard search API that Tweepy's API.search
uses:
Keep in mind that the search index has a 7-day limit. In other words, no tweets will be found for a date older than one week.
https://developer.twitter.com/en/docs/twitter-api/v1/tweets/search/guides/standard-operators also says:
The Search API is not a complete index of all Tweets, but instead an index of recent Tweets. The index includes between 6-9 days of Tweets.
QUESTION
I am trying to get a solution for a stiff ODE problem where at each integration step, i have to modify the solution vector before continuing on the integration.
For that, i am using scipy.integrate.ode
, with the integrator VODE
, in bdf
mode.
Here is a simplified version of the code i am using. The function is much more complex than that and involve the use of CANTERA.
ANSWER
Answered 2021-Jun-07 at 13:06For those getting the same problem, the issue lies in the Fortran wrapper from Scipy.
My solution was to change the package used, from ode
to solve_ivp
. The difference is that solve_ivp
is entirely made with Python, and you will be able to hack your way through the implementation. Note that the code will run slowly compared to the vode
link that the other package used, even though the code is very well written and use numpy (basically, C level of performances whenever possible).
Here are the few steps you will have to follow.
First, to reproduce the already working code :
QUESTION
I have a python code (example from Cantera.org) that uses scipy.integrate.ode to solve a system of ODE. The code works fine and the results are reasnoable. However, I noticed something about the ode solver that does not make sense to me.
I have a put a print function inside (print("t inside ODE function", t)
) the function the calculates the derivative vector (__call__(self, t, y)
), and outside that function in the while loop (print("t outside ODE function", solver.t);
).
I expect that inside print has to be called when the solver does the time integration, and then the outside print is called. In other words, two "t outside ODE function"
cannot appear right after another without "t inside ODE function"
in between. However, this occurs in some of iterations in the while loop, which mean the solver does the integration without calculating the derivatives.
I am wondering how this is possible
...ANSWER
Answered 2021-May-16 at 18:49The solver has an adaptive step size. Which means that it proceeds in internal steps that are adapted to the given error tolerances. In the segment from one step point to the next, the solution values get interpolated. Thus it can happen that a sequence of the external steps of the time loop falls into the same internal segment. If you set the error tolerances to smaller levels as the default ones, it can happen that the situation reverses, that several internal steps are required per external value request.
QUESTION
I want to perform multiple ARIMA and VECM at the same time.
Specifically, I want a time series for every "Sector", which goes from 2007Q1 to 2018Q4.
I tried to do it with a for loop but it is not working properly.
Is there a specific function to create this kind of result?
Data
...ANSWER
Answered 2019-Dec-04 at 08:49You can make use of the code below which transforms your dataset into a tidy format, creates a function for an arima model and then iterates all the existing series. You can add a VECM to that function or change the model inside the function.
QUESTION
I have a dictionary of bigrams, which was created as
...ANSWER
Answered 2018-Dec-15 at 04:39I'd do something like this:
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