This is still under heavy development
This was written for a class I taught on robotics. It is meant to be simple and teach the students some things. There are probably better solutions out there, but I like this.
Read and write data files using pickle, json, gziped json, and csv. Method is determined by filename extension. Valid extensions are:
- .pkl: pickle
- .json: json
- .gzip: json compressed with gzip [default]
- .csv: comma separated values
See the notebook for examples of how to use it.
from collector import Collector
c = Collector()
c.timestamp = False
d = np.array([[1,2,3],[4.,5.,6.]])
i = {"imu":
{
"gyro_range": 3000,
"accel_range": 2
}
}
c.write("test_test_now.csv",d)
dd = c.read("test_test_now.csv")
c.write("test_test_now.json",d,i)
dd = c.read("test_test_now.json")
fname = c.write("test_test_now.pkl",d,i)
dd = c.read(fname)
c.timestamp = True
fname = c.write("data/test_test_now.pkl",d,i)
dd = c.read(fname)
# Saving 2 data points in pickle to:
# --> data/2023-08-08_18:57:52_test_test_now.pkl
# Loaded 2 data points from:
# --> data/2023-08-08_18:57:52_test_test_now.pklCopyright (c) 2017 Kevin J. Walchko
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