IAEA dataset parsing

Check Python version

import sys; sys.version.split()[0]

0.4s

Python

'3.6.8'

From training data 00: preprocessed, low signal-to-noise ratio, lowest energy level.

training00_E0.txt

Description of training data format:

from math import floor
lines = open(training00_E0.txt
, 'r').read().split("\n")
index = 0
sensorCount = 0
sensorAngles = 0
sensors = []

for line in lines:
  if len(line) == 0:
    continue
  if index == 0:
    sensorCount = int(line)
  elif index == 1:
    sensorAngles = int(line)
  elif index == 2:
    sensorOffset = float(line)
  else:
    angleNum = floor(((index - 3) / 2) / sensorCount)
    sensorNum = int(((index - 3) / 2) - angleNum * sensorCount)
    print(str(angleNum) + ',' + str(sensorNum))
    if angleNum == 0:
      sensors.append([])
    sensors[sensorNum].append(float(line))
    # sensors are interleaved; skip 2nd head on this reader
    index = index + 1
  index = index + 1

2.4s

Python

import matplotlib.pyplot as plt

# Data for plotting
fig, ax = plt.subplots()
x = range(1, 361)
ax.plot(x, sensors[0])
ax.plot(x, sensors[10])
ax.plot(x, sensors[20])
ax.plot(x, sensors[30])

fig

1.1s

Python

Those sensors are close together. Let's look at the full sweep

fig, ax = plt.subplots()

ax.plot(x, sensors[30])
ax.plot(x, sensors[70])
ax.plot(x, sensors[90])
ax.plot(x, sensors[120])
ax.plot(x, sensors[180])

fig

1.1s

Python

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Python