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Dynamic plotting class with multiline support
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%matplotlib notebook | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib import colors as mcolors | |
class DynamicPlot(): | |
colors = list(mcolors.cnames.values()) | |
def __init__(self, data): | |
self.figure, self.ax = plt.subplots(figsize=(12, 10)) | |
self.lines = {} | |
for i, key in enumerate(data): | |
self.lines[key], = self.ax.plot([],[], '-', color=self.colors[i], label=key) | |
legend = self.ax.legend(loc='upper left', shadow=True) | |
self.ax.set_autoscale_on(True) | |
def preprocess_data(self, data): | |
x = [ts for reqnum, reqtime, ts in data if reqnum != 0] | |
y = [reqtime / reqnum for reqnum, reqtime, ts in data if reqnum != 0] | |
return x, y | |
def update(self, data): | |
for key, values in data.items(): | |
x, y = self.preprocess_data(values) | |
self.lines[key].set_xdata(x) | |
self.lines[key].set_ydata(y) | |
self.ax.relim() | |
self.ax.autoscale_view() | |
self.figure.canvas.draw() | |
init_data = {'a': [], 'b': []} | |
D = [{'a': [(1, 2, 1), (3, 4, 2), (4, 5, 3)] | |
'b': [(5, 6, 1), (7, 8, 2), (9, 10, 3)]}, | |
{'a': [(3, 4, 2), (4, 5, 3), (5, 6, 4)] | |
'b': [(7, 8, 2), (9, 10, 3), (10, 11, 4)]},] | |
plot = DynamicPlot(init_data) | |
for d in D: | |
plot.update(d) |
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