matplotlib

Could you provide an example? Is this what you want: import datetime import numpy as np import pylab as plt import matplotlib fig = plt.figure() ax = fig.add_subplot(111) x = np.linspace(0, 300) # 5 minutes y = np.random.random(len(x)) ax.plot(x, y) def timeTicks(x, pos): d = datetime.timedelta(seconds=x) return str(d) formatter = matplotlib.ticker.FuncFormatter(timeTicks) ax.xaxis.set_major_formatter(formatter) plt.show() It uses … Read more

I think you’re going to need separate lines for each segment: import numpy as np import matplotlib.pyplot as plt x, y = np.random.random(size=(2,10)) for i in range(0, len(x), 2): plt.plot(x[i:i+2], y[i:i+2], ‘ro-‘) plt.show() (The numpy import is just to set up some random 2×10 sample data)

I bumped into this link found here, which answers my problem. It seems that after turning on interactive mode through plt.ion(), pyplot needs to be paused temporarily for it to update/redraw itself through plt.pause(0.0001). Here is what I did and it works! >>> import matplotlib.pyplot as plt >>> import numpy as np >>> plt.ion() >>> … Read more

Just iterate through the axes tied to the figure, set the active axes to the iterated object, and modify: for ax in fig.axes: matplotlib.pyplot.sca(ax) plt.xticks(rotation=90)

You simply need to re-assign ax.format_coord. See this example from the documentation. (code lifted directly from example) “”” Show how to modify the coordinate formatter to report the image “z” value of the nearest pixel given x and y “”” import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm X = 10*np.random.rand(5,3) … Read more