PanGUI offers a simple way of panning through a sequence of plots.

pip install git+https://github.com/grero/PanGUI.git conda install --channel grero1980 pangui

import PanGUI
PanGUI.test()

To create a panning window, use the create_window function, supply a plotobj object accepting two arguments; the first is an index to plot and the second is a matplotlib.figure instance to plot into.

We can see how this works by examining the test function called above. First we generate some random data

class PlotObj()
    def __init__(self):
        self.data = np.random.random((10, 1000))

    def plot(self, i, fig):
          if len(fig.axes) < 1:
              ax = fig.add_subplot(111)
          else:
              ax = fig.axes[0]
          ax.clear()
          ax.plot(data[i, :])

    def update_idx(self, index):
        return max(0, min(index, data.shape[0]-1))

app = PanGUI.create_window(PlotObj())

This will pop-up a plot window that plots the rows of plotobj.data. Clicking prev or next will step through the rows, while a specific row can be selected via the textfield.