Gas Chromatography dataset

The following Gas Chromatography dataset was obtained as a JCAMP-DX file, and subsequently converted to the CSD model file-format. The data structure of the gas chromatography dataset follows,

import matplotlib.pyplot as plt

import csdmpy as cp

filename = "https://osu.box.com/shared/static/zt452x7p3plbnjqt2898dy8px6hkhkd8.csdf"
GCData = cp.load(filename)
print(GCData.data_structure)

Out:

{
  "csdm": {
    "version": "1.0",
    "read_only": true,
    "timestamp": "2011-12-16T12:24:10Z",
    "description": "A Gas Chromatography dataset of cinnamon stick.",
    "dimensions": [
      {
        "type": "linear",
        "count": 6001,
        "increment": "0.0034 min",
        "quantity_name": "time",
        "reciprocal": {
          "quantity_name": "frequency"
        }
      }
    ],
    "dependent_variables": [
      {
        "type": "internal",
        "name": "Headspace from cinnamon stick",
        "numeric_type": "float32",
        "quantity_type": "scalar",
        "component_labels": [
          "monotonic"
        ],
        "components": [
          [
            "48453.0, 48444.0, ..., 48040.0, 48040.0"
          ]
        ]
      }
    ]
  }
}

and the corresponding plot

plt.figure(figsize=(5, 3.5))
ax = plt.subplot(projection="csdm")
ax.plot(GCData)
plt.tight_layout()
plt.show()
plot 3 GS

Total running time of the script: ( 0 minutes 1.264 seconds)

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