我有一个可以正常运行并从提供的数据文件中绘制图形的程序。该程序将打开一个csv文件，过滤第5列中的数据以获取唯一值，并为每个唯一值写入一个csv文件，并附带原始文件中的数据，然后我将其绘制出来以比较每列中的不同值。因此，对于本示例，我在第5列中应具有3个唯一值，该列将创建3个具有蓝色，绿色和红色前缀的唯一csv文件。然后，我为每个蓝绿色红色文件绘制第2列，并在图中进行比较-因此，我将遍历蓝色，绿色，红色csv文件中的所有列，并在图中进行比较。
我想在查看下一个绘图时保持上一个绘图的打开状态，而不必关闭绘图窗口。我曾尝试使用plt.figure（），但同时打开了三张图表-为不好的编程而道歉，我才刚开始学习Python。感谢任何帮助/建议。
[从程序的第40行开始是我遇到问题的绘图代码
from matplotlib import style
from matplotlib import pyplot as plt
import numpy as np
import csv
# import random used for changing line colors in chart
import random
from itertools import cycle
# opens a the input file and reads in the data
with open('Test_colours_in.csv', 'r') as csv_file:
csv_reader = csv.DictReader(csv_file)
# prints list of unique values in column 5 of csv of input file
my_list = set()
for line in csv_reader:
my_list.add(line['Name5'])
print(my_list)
# takes these unique values and creates files associated with each unique value
for item in my_list:
with open(item + '_'+'Test.csv', 'w', newline='') as new_file:
fieldnames = ['Name1', 'Name2', 'Name3', 'Name4', 'Name5', 'Name6', 'Name7', 'Name8']
csv_writer = csv.DictWriter(new_file, fieldnames=fieldnames)
csv_writer.writeheader()
# filters the original file for each item in the list of unique values and writes them to respective file
csv_file.seek(0) # Reposition to front of file
filtered = filter(lambda r: r['Name5'] == item, csv_reader)
for row in filtered:
csv_writer.writerow(row)
# Section of code below plots data from each of the filtered files
# reads in columns 1 for time (x) and 3,4 for y1 and y2
# to test for data type in column 0,1,2
# loops up to 3 (not including 3 )
#
# list of color for plots https://matplotlib.org/3.1.0/gallery/color/named_colors.html
# color values choice below
# b , g, r, c, m, y, tab:blue, tab:orange, tab:purple, tab:gray
#
# this is the bit of code I am have trouble with I need to run through a list of columns and
# have previous plots visible when a look at the next graph. At the moment I have just picked the first
# three column and loop through these
for i in range(3):
# apples, pears and oranges really Name1,Name2 and Name3 will change these later
user_input = input('enter Name1, Name2 or Name3, q to quit ?')
sample_string = user_input
if sample_string[:1] == 'q':
break
if sample_string == 'Name1':
user = int(0)
if sample_string == 'Name2':
user = int(1)
if sample_string == 'Name3':
user = int(2)
for item in my_list:
print(user)
# Chooses a random number between 1 and 16777215
random_number = random.randint(1, 16777215)
# convert the random number to a hex number then to string
hex_number = str(hex(random_number))
# [2;] removes the 0x from the hexadecimal and add #
hex_number = '#' + hex_number[2:]
print(random_number)
x, y = np.loadtxt(item + '_'+'Test.csv', skiprows=1, usecols=[0, user], unpack=True, delimiter=',')
plt.plot(x, y, hex_number, label=item, linewidth=5)
style.use('ggplot')
plt.title('Data v Time')
plt.ylabel('Data')
plt.xlabel('Time seconds')
plt.legend()
plt.grid(True, color='k')
plt.show()
名称1，名称2，名称3，名称4，名称5，名称6，名称7，名称81,2,3,4，红色，6,7,82,5,6,7，蓝色，6,7,83,5,7,7，蓝色，6,7,84,5,8,7，蓝色，6,7,85,2,4,4，红色，6,7,86,2,5,4，红色，6,7,87,8,10,10，绿色，6,7,88,8,11,10，绿色，6,7,89,8,12,10，绿色，6,7,8
如果要在每次迭代中一一显示图，则可以执行以下操作：
for i in range(3):
# ...
plt.figure()
plt.title('Data v Time')
plt.ylabel('Data')
plt.xlabel('Time seconds')
plt.legend()
plt.grid(True, color='k')
plt.show(block=False)
plt.pause(0.01)
plt.show() # Prevents termination after the loop