Python 中的 matplotlib . date . epoch 2 num()
原文:https://www . geesforgeks . org/matplotlib-date-epoch 2 num-in-python/
Matplotlib 是 Python 中一个惊人的可视化库，用于数组的 2D 图。Matplotlib 是一个多平台数据可视化库，构建在 NumPy 数组上，旨在与更广泛的 SciPy 堆栈一起工作。
matplotlib . dates . epoch 2 num()
matplotlib.dates.epoch2num()功能用于从 0001 开始将一个纪元或一系列纪元转换为新的日期格式。
语法:matplotlib . dates . epoch 2 num(e)
参数:
- e: 可以是一个纪元，也可以是一系列纪元。
返回:从 0001 日开始的新日期格式。
例 1:
import random
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# generate some random data
# for approx 5 yrs
random_data = [float(random.randint(1487517521,
14213254713))
for _ in range(1000)]
# convert the epoch format to
# matplotlib date format
mpl_data = mdates.epoch2num(random_data)
# plotting the graph
fig, axes = plt.subplots(1, 1)
axes.hist(mpl_data, bins = 51, color ='green')
locator = mdates.AutoDateLocator()
axes.xaxis.set_major_locator(locator)
axes.xaxis.set_major_formatter(mdates.AutoDateFormatter(locator))
plt.show()
输出:
例 2:
from tkinter import *
from tkinter import ttk
import time
import matplotlib
import queue
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure import Figure
import matplotlib.animation as animation
import matplotlib.dates as mdate
root = Tk()
graphXData = queue.Queue()
graphYData = queue.Queue()
def animate(objData):
line.set_data(list(graphXData.queue),
list(graphYData.queue))
axes.relim()
axes.autoscale_view()
figure = Figure(figsize =(5, 5), dpi = 100)
axes = figure.add_subplot(111)
axes.xaxis_date()
line, = axes.plot([], [])
axes.xaxis.set_major_formatter(mdate.DateFormatter('%H:%M'))
canvas = FigureCanvasTkAgg(figure, root)
canvas.get_tk_widget().pack(side = BOTTOM,
fill = BOTH,
expand = True)
for cnt in range (600):
graphXData.put(matplotlib.dates.epoch2num(time.time()-(600-cnt)))
graphYData.put(0)
ani = animation.FuncAnimation(figure, animate, interval = 1000)
root.mainloop()
输出:
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