playing with pynapple

[kushalkolar]

Just playing around with it for now.

usage:

# with a cnmf item
df.iloc[1].nap.get_tsd_frame()

Out[7]: 
Time (s)             0          1         2         3         4         5          6         7         8  ...
------------  --------  ---------  --------  --------  --------  --------  ---------  --------  --------  -----
0.0           -23.5793  -23.1808   -25.6122  -10.6084  -21.208   -6.36728  -10.4701   -13.5863  -12.1918  ...
0.033344448   -23.5793  -23.1808   -25.6122  -10.6084  -21.208   -6.36728  -10.4701   -13.5863  -12.1918  ...
0.066688896   -23.5793    9.57066  -25.6122  -10.6084  -21.208   -6.36728  -10.4701   -13.5863  -12.1918  ...
0.100033344   -23.5793    7.42798  -25.6122  -10.6084  -21.208   -6.36728  -10.4701   -13.5863  -12.1918  ...
0.133377793   -23.5793    4.76448  -25.6122  -10.6084  -21.208   -6.36728  -10.4701   -13.5863  -12.1918  ...
...
99.866622207  -23.5793  -23.1598   -22.9783  -10.6     -19.953   -6.36728   -9.36472  -13.5456  -12.1918  ...
99.899966656  -23.5793  -23.1617   -23.1542  -10.6009  -20.0842  -6.36728   -9.46171  -13.5496  -12.1918  ...
99.933311104  -23.5793  -23.1633   -23.3184  -10.6016  -20.2018  -6.36728   -9.55019  -13.5531  -12.1918  ...
99.966655552  -23.5793  -23.1648   -23.4716  -10.6023  -20.307   -6.36728   -9.6309   -13.5564  -12.1918  ...
100.0         -23.5793  -23.1662   -23.6146  -10.6029  -20.4012  -6.36728   -9.70454  -13.5593  -12.1918  ...
dtype: float64, shape: (3000, 155)

[gviejo]

Very nice indeed 👍