Parse eda data from avro and plot

parse_and_plot_eda.py

from avro.datafile import DataFileReader
from avro.io import DatumReader
import matplotlib.pyplot as plt
from datetime import datetime
import json

avro_file = "/Users/neilthomas/Downloads/1-1-PILOT_1675422454.avro"

# Read Avro file
reader = DataFileReader(open(avro_file, "rb"), DatumReader())
schema = json.loads(reader.meta.get('avro.schema').decode('utf-8'))
data = []
for datum in reader:
    data = datum
reader.close()

# Print the Avro schema
print(schema)
print(" ")

eda = data["rawData"]["eda"]


# Print structure
print("eda fields:")
for key, val in eda.items():
    print("- " + key)
    if type(val) is dict:
        for k in val.keys():
            print(" - " + k)
print(" ")

skr = eda["values"]

# Create time vector (in your local timezone)
startSeconds = eda["timestampStart"] / 1000000
timeSeconds = list(range(0, len(skr)))
timeUNIX = [t/eda["samplingFrequency"]+startSeconds for t in timeSeconds]
datetime_time = [datetime.fromtimestamp(x) for x in timeUNIX]

# Plot
plt.figure()
plt.plot(datetime_time, skr, label="skr")
plt.ylabel("Value")
plt.grid(True)
plt.legend(loc="best")
plt.show()