【发布时间】：2017-06-20 00:43:12
【问题描述】：
我正在寻找使用 python 创建的以下数组，该数组创建随机数：
# Import the random module
import random
import numpy as np
# Define main function
def RandomData():
# Create a for loop to continuously generate random numbers
# Set a range of 12000 random numbers to be generated
for count in range(1):
# State the y coordinate as a random integer between 0 and 1000
#y = random.randint(0,1000)
# Create an array
data = np.array ([(random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),random.randint(0,1000),
random.randint(0,1000),random.randint(0,1000),random.randint(0,1000))
])
# Print y
print(data)
# Call main function
RandomData()
并使用 Python 将其绘制到另一个文件中：
# Import time, collections, matplotlib and Random_Generation_List modules
import time
from collections import deque
from matplotlib import pyplot as plt
from matplotlib import style
from Random_Generation_List import RandomData
# Identify start as time.time
# References the time module imported
start = time.time()
# Create RealtimePlot Class for object template
class RealtimePlot:
def __init__(self, axes, max_entries = 100):
self.axis_x = deque(maxlen=max_entries)
self.axis_y = deque(maxlen=max_entries)
self.axes = axes
self.max_entries = max_entries
self.lineplot, = axes.plot([], [], "g-")
self.axes.set_autoscaley_on(True)
def add(self, x, y):
self.axis_x.append(x)
self.axis_y.append(y)
self.lineplot.set_data(self.axis_x, self.axis_y)
self.axes.set_xlim(self.axis_x[0], self.axis_x[-1] + 1e-15)
self.axes.relim(); self.axes.autoscale_view() # rescale the y-axis
def animate(self, figure, callback, interval = 50):
def wrapper(frame_index):
self.add(*callback(frame_index))
self.axes.relim(); self.axes.autoscale_view() # rescale the y-axis
return self.lineplot
# Define the main function
def main():
# Use matplotlib style of dark background
style.use('dark_background')
# Dar the figure
fig, axes = plt.subplots()
# Display the axes
display = RealtimePlot(axes)
# Label the x axis
axes.set_xlabel("Seconds")
#Label the y axis
axes.set_ylabel("Amplitude")
# Read the y values generated from Random_Generation_List.py
values= (RandomData.data)
# Print out values
print(values)
display.animate(fig, lambda frame_index: (time.time() - start, values))
plt.show()
while True:
display.add(time.time() - start, values)
plt.pause(0.001)
# Call the main function
if __name__ == "__main__": main()
当我尝试执行此操作时，我收到一条错误消息，指出名称“数据”不是该函数的属性。问题区域似乎是 values= (RandomData.data)。你如何将这个数组从一个 python 文件绘制到另一个文件中？它正在打印数组就好了。它没有像需要的那样绘制点。
【问题讨论】：
-
在
RandomData你需要return data在最后，而不是在模块的最后调用RandomData()。然后，在主函数中，只需执行values = RandomData()。 -
@GergesDib 我收到一条错误消息，指出 TypeError: float() 参数必须是字符串或数字，而不是“函数”。
-
你在哪一行得到错误
标签： python arrays matplotlib plot