pymcmcstat.utilities package¶
pymcmcstat.utilities.NumpyEncoder module¶
Created on Mon Apr 2 08:42:56 2018
@author: prmiles
-
class
pymcmcstat.utilities.NumpyEncoder.
NumpyEncoder
(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)[source]¶ Bases:
json.encoder.JSONEncoder
Encoder used for storing numpy arrays in json files.
-
default
(obj)[source]¶ Implement this method in a subclass such that it returns a serializable object for
o
, or calls the base implementation (to raise aTypeError
).For example, to support arbitrary iterators, you could implement default like this:
def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o)
-
pymcmcstat.utilities.general module¶
Created on Tue Jun 26 06:16:02 2018
General functions used throughout package
@author: prmiles
pymcmcstat.utilities.progressbar module¶
-
pymcmcstat.utilities.progressbar.
progress_bar
(iters)[source]¶ Simulation progress bar.
A simple progress bar to monitor MCMC sampling progress. Modified from original code by Corey Goldberg (2010).
- Args:
- iters (
int
): Number of iterations in simulation.
- iters (
Example display:
[-------- 21% ] 2109 of 10000 complete in 0.5 sec
Note
Will display a progress bar as simulation runs, providing feedback as to the status of the simulation. Depending on the available resources, the appearance of the progress bar may differ.