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GeezerVison is showing github.com — handling numpy int types · Issue #102 · fastplotlib/fastplotlib

handling numpy int types #102

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handling numpy int types#102
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@kushalkolar
kushalkolar
opened on Jan 3, 2023
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probably need to make numpy int scalers into python native types, this is annoying. Maybe implement in cleanup_slice()

for start_ix in ca_trial_range_ixs[:, 0]:
    start_ix = int(start_ix)
    plot_temporal["cue"].colors[start_ix:(start_ix + cue_frame_calcium)] = np.repeat(np.array([Color("w")]), 30, axis=0)

ca_trial_range_ixs is an array like this:

array([[   0,  290],
       [ 290,  580],
       [ 580,  870],
       [ 870, 1160],
       [1160, 1450],
       [1450, 1740],
       [1740, 2030],
       [2030, 2320],
       [2320, 2610],
       [2610, 2900],
       [2900, 3190],
       [3190, 3480],
       [3480, 3770],
       [3770, 4060],
       [4060, 4350],
       [4350, 4640],
       [4640, 4930],
       [4930, 5220],
       [5220, 5510],
       [5510, 5800],
       [5800, 6090],
       [6090, 6380],
       [6380, 6670],
       [6670, 6960],
       [6960, 7250],
       [7250, 7540],
       [7540, 7830],
       [7830, 8120],
       [8120, 8410]])

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  1. kushalkolar commented on May 21, 2023

    @kushalkolar
    kushalkolar
    on May 21, 2023
    MemberAuthor
    More actions

    done in #177

  2. kushalkolar
    closed this as completedon May 21, 2023
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