The only thing we set was the legend position in the plt.legend() function, wherein we defined the loc = argument as “upper left”, so that the legend appears at the upper left part of the plot.Now, let us increase the legend size. Run the code below to do that:...
df7273747576def timestamp2datetime(value):77value =time.localtime(value)78dt = time.strftime('%Y-%m-%d %H:%M:%S', value)79returndt8081828384'''85frommatplotlib import pyplotasplt86tt = data['context_timestamp']87plt.plot(tt)88# 可以看出时间是没有排好的,有一定的错位。如果做成online的模...
this time inserting “2” as degree of the polynomial fit function. This is because the trajectory of a falling object can be described by a second-degree polynomial; in our case the relation between thexandycoordinates is given by:
import matplotlib matplotlib.use('WXAgg') from matplotlib.figure import Figure #from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas #from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg ...