Interrupted workflow¶

This example shows that using IO, you can easily interrupt your workflow, save it and continue some other time.

[1]:

import numpy as np
import physt

%matplotlib inline

[2]:

histogram = physt.h1(None, "fixed_width", bin_width=0.1, adaptive=True)
histogram

[2]:

Histogram1D(bins=(0,), total=0, dtype=int64)

[3]:

# Big chunk of data
data1 = np.random.normal(0, 1, 10000000)
histogram.fill_n(data1)
histogram

[3]:

Histogram1D(bins=(106,), total=10000000, dtype=int64)

[4]:

histogram.plot()

[4]:

<AxesSubplot:xlabel='axis0'>

Store the histogram (and delete it to pretend we come with a fresh table):

[5]:

histogram.to_json(path="./histogram.json");
del histogram

Turn off the machine, go for lunch, return home later…

Read the histogram:

[6]:

histogram = physt.io.load_json(path="./histogram.json")
histogram

[6]:

Histogram1D(bins=(106,), total=10000000, dtype=int64)

[7]:

histogram.plot()

[7]:

<AxesSubplot:xlabel='axis0'>

The same one ;-)

Continue filling:

[8]:

# Another big chunk of data
data1 = np.random.normal(3, 2, 10000000)
histogram.fill_n(data1)
histogram

[8]:

Histogram1D(bins=(205,), total=20000000, dtype=int64)

[9]:

histogram.plot()

[9]:

<AxesSubplot:xlabel='axis0'>