当我的脚本正在执行一些可能需要时间的任务时,我如何使用进度条?
例如,一个函数需要一段时间才能完成,完成后返回True。如何在函数执行期间显示进度条?
请注意,我需要这是实时的,所以我不知道该怎么做。我需要一根线吗?我不知道。
现在我没有打印任何东西,而函数正在执行,但一个进度条会很好。此外,我更感兴趣的是从代码的角度如何做到这一点。
当我的脚本正在执行一些可能需要时间的任务时,我如何使用进度条?
例如,一个函数需要一段时间才能完成,完成后返回True。如何在函数执行期间显示进度条?
请注意,我需要这是实时的,所以我不知道该怎么做。我需要一根线吗?我不知道。
现在我没有打印任何东西,而函数正在执行,但一个进度条会很好。此外,我更感兴趣的是从代码的角度如何做到这一点。
当前回答
我想我有点晚了,但这应该适用于使用当前版本的python 3的人,因为这使用了“f-strings”,正如python 3.6 PEP 498中介绍的那样:
Code
from numpy import interp
class Progress:
def __init__(self, value, end, title='Downloading',buffer=20):
self.title = title
#when calling in a for loop it doesn't include the last number
self.end = end -1
self.buffer = buffer
self.value = value
self.progress()
def progress(self):
maped = int(interp(self.value, [0, self.end], [0, self.buffer]))
print(f'{self.title}: [{"#"*maped}{"-"*(self.buffer - maped)}]{self.value}/{self.end} {((self.value/self.end)*100):.2f}%', end='\r')
例子
#some loop that does perfroms a task
for x in range(21) #set to 21 to include until 20
Progress(x, 21)
输出
Downloading: [########------------] 8/20 40.00%
其他回答
这里有一个非常简单的版本,如果你有一个循环,只是想了解迭代的进展,比如每一个点,比如说,5000次迭代。
my_list = range(0,100000)
counter = 0
for x in my_list:
#your code here
counter = counter + 1
if counter % 5000 == 0:
print(".", end="") # end="" avoids a newline, keeps dots together
print() #this makes sure whatever you print next is in a new line
My_list不是方案的一部分。使用你自己的迭代对象,不管你在循环什么。 这个版本没有提前告诉您总共有多少次迭代。
我想我有点晚了,但这应该适用于使用当前版本的python 3的人,因为这使用了“f-strings”,正如python 3.6 PEP 498中介绍的那样:
Code
from numpy import interp
class Progress:
def __init__(self, value, end, title='Downloading',buffer=20):
self.title = title
#when calling in a for loop it doesn't include the last number
self.end = end -1
self.buffer = buffer
self.value = value
self.progress()
def progress(self):
maped = int(interp(self.value, [0, self.end], [0, self.buffer]))
print(f'{self.title}: [{"#"*maped}{"-"*(self.buffer - maped)}]{self.value}/{self.end} {((self.value/self.end)*100):.2f}%', end='\r')
例子
#some loop that does perfroms a task
for x in range(21) #set to 21 to include until 20
Progress(x, 21)
输出
Downloading: [########------------] 8/20 40.00%
我喜欢这一页。
从简单的示例开始,然后转移到多线程版本。开箱即用。不需要第三方软件包。
代码看起来像这样:
import time
import sys
def do_task():
time.sleep(1)
def example_1(n):
for i in range(n):
do_task()
print '\b.',
sys.stdout.flush()
print ' Done!'
print 'Starting ',
example_1(10)
或者这里是一个使用线程的例子,以便在程序运行时运行旋转加载条:
import sys
import time
import threading
class progress_bar_loading(threading.Thread):
def run(self):
global stop
global kill
print 'Loading.... ',
sys.stdout.flush()
i = 0
while stop != True:
if (i%4) == 0:
sys.stdout.write('\b/')
elif (i%4) == 1:
sys.stdout.write('\b-')
elif (i%4) == 2:
sys.stdout.write('\b\\')
elif (i%4) == 3:
sys.stdout.write('\b|')
sys.stdout.flush()
time.sleep(0.2)
i+=1
if kill == True:
print '\b\b\b\b ABORT!',
else:
print '\b\b done!',
kill = False
stop = False
p = progress_bar_loading()
p.start()
try:
#anything you want to run.
time.sleep(1)
stop = True
except KeyboardInterrupt or EOFError:
kill = True
stop = True
#doesnt affect actual execution
#based on events and consumption in background
#may be that actual process completes a bit earlier than progress shows 99%
#make an instance with number of elements in a loop
#in each iteration call the method current_progress
import time
from math import ceil
import os
import sys
from threading import Thread
class progress_bar(object):
def __init__(self,total_elements,length_bar=25):
self.length_bar=length_bar
self.total_elements=total_elements
self.singleweight=(float(1)/float(total_elements))*100
self.done=0
self.qt=[0]
self.call_count=0
t=Thread(target=self.display_progress)
t.start()
def current_progress(self):
self.done+=1
self.qt=[self.done]+self.qt
def display_progress(self):
while True:
try:
done=self.qt.pop()
except:
continue
else:
self.call_count+=1
self.progress=self.singleweight*done
fill=ceil(self.progress)
bar=int((fill*self.length_bar)/100)*"|"
bar="["+bar+str(fill)+"%"
barp=bar
for i in range(0,self.length_bar+3-(len(bar))):
barp=barp+"_"
barp=barp+"]"
if self.progress <= 100:
os.system("clear")
print("Progress:",barp, sep=' ', end='\n', file=sys.stdout, flush=True)
if self.call_count == self.total_elements:
break
else:
pass
iterrows的Progressbar。调整了@eusoubrasileiro代码,用于在循环遍历数据帧的行时显示进度。此外还显示百分比、ith/count、经过秒数、eps /sec、剩余秒数。允许指定第n个更新计数。
import time
import sys
def progressbar_iterrows(df, prefix="", size=60, file=sys.stdout, per=1000):
count = len(df)
t = 0
def show(j,elapsed):
avg = 0 if elapsed == 0 else j/elapsed
remaining = 0 if avg == 0 else (count-j)/avg
x = int(size*j/count)
file.write("%s[%s%s] %i%% %i/%i elapsed:%i %i/sec remaining:%i\r" % (prefix, "#"*x, "."*(size-x), j/count, j, count, elapsed, avg, remaining))
file.flush()
file.write("Initializing ...\r")
file.flush()
for i, item in df.iterrows():
yield i,item
if t == 0:
t = time.time()
if i % per == 0:
show(i,time.time()-t)
file.write("\n")
file.flush()
用法:
for n,r in progressbar_iterrows(br_b_sections_df, "Processed: "):
# do something
输出:
Processed: [........................] 0% 5000/28751240 elapsed:12 413/sec remaining:55054