fa91217b895957c4106d6175e27d72a48f4f05dc,mne/viz/topo.py,,_plot_timeseries_unified,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,433

Before Change


    Show multiple time series on topo using a single axes.
    import matplotlib.pyplot as plt
    if not (ylim and not any(v is None for v in ylim)):
        ylim = np.array([np.min(data), np.max(data)])
    // Translation and scale parameters to take data->under_ax normalized coords
    _compute_scalings(bn, (tmin, tmax), ylim)
    pos = bn.pos
    data_lines = bn.data_lines

After Change


    Show multiple time series on topo using a single axes.
    import matplotlib.pyplot as plt
    if not (ylim and not any(v is None for v in ylim)):
        ylim = [min(np.min(d) for d in data), max(np.max(d) for d in data)]
    // Translation and scale parameters to take data->under_ax normalized coords
    _compute_scalings(bn, (tmin, tmax), ylim)
    pos = bn.pos
    data_lines = bn.data_lines
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: mne-tools/mne-python
Commit Name: fa91217b895957c4106d6175e27d72a48f4f05dc
Time: 2019-01-12
Author: jnu@iki.fi
File Name: mne/viz/topo.py
Class Name:
Method Name: _plot_timeseries_unified


Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 25723006dbd088a24215b23242e55d06e12afd8e
Time: 2019-04-14
Author: andrecruz97@gmail.com
File Name: src/skmultiflow/meta/additive_expert_ensemble.py
Class Name: AdditiveExpertEnsemble
Method Name: predict


Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 7e0e9b744c1c307d3e42f8feae764ee090fad1ce
Time: 2019-04-08
Author: andrecruz97@gmail.com
File Name: src/skmultiflow/meta/dynamic_weighted_majority.py
Class Name: DynamicWeightedMajority
Method Name: predict