Python 陷入势无限循环

我只是试图从pandas数据框中列出地区名称和地区对象，但由于某些原因，代码从未运行完。我看不到任何地方可以成为一个无限循环，所以我无法理解为什么每次运行它时它都会被卡住。下面是卡住的部分（特别是j迭代for循环）：

以下是地区级别，以供参考：

class District:
def __init__(self, name, count):
    self._name = name
    self._count = count
def get_name(self):
    return name
def get_count(self):
    return count
def updateCount(self,amount):
    self._count += amount

---

初始的.csv文件相当大，在删除第8行和第9行中的一些数据点后，我剩下227312个数据点。我知道这是相当多的，但代码甚至在运行5分钟后还没有完成。我做错了什么？

您可以使用

tqdm

包查看您的代码固定在哪个循环中

import tqdm from tqdm 
for i in tqdm(range(s[0]), position=0, leave=True):
    check = True

    #build strings for each district
    ds = table.iloc[i,1] + str(table.iloc[i,2])
    #testString = str(table.iloc[i,2])

    #append ds to districtNames if it isnt in already
    #make array of District Objects
    for j in range(len(districtNames)):
        if(ds == districtNames[j]):
            check = False
        if(check):
            districtNames.append(ds)
            districts.append(District(ds,0))

---

这并不是说它不会终止，而是它在当前状态下效率低下。试着这样做：

import numpy as np
import pandas as pd

class District:
    def __init__(self, name, count):
        self._name = name
        self._count = count
    def get_name(self):
        return name
    def get_count(self):
        return count
    def updateCount(self,amount):
        self._count += amount

#make dataframe
data = pd.read_csv('gun-violence-data_01-2013_03-2018.csv', header=0, delimiter=',')

#drop data points with null condressional district values
data = data[data.congressional_district != 0]
data.dropna(axis=0,how='any',subset=['congressional_district'],inplace= True)

#constructing working table
table = data[['incident_id','state','congressional_district']]

#list of districts. Formatting in original file must be corrected to analyze data
districtNames = (table.state + table.congressional_district.astype(str)).unique()
districts = list(map(lambda districtName: District(districtName, 0), districtNames))

---

放入一些打印行并调试它不是一个修复程序，但是你可以在范围内将j的

缩短（len（districtNames））：

到

到districtNames中的districtName:

print是你的朋友，在每个循环的开始处粘贴一个，这样你就可以看到什么在吸引你，这些东西进展得很快！我不知道你甚至可以用Python来做这件事。非常感谢你！

import numpy as np
import pandas as pd

class District:
    def __init__(self, name, count):
        self._name = name
        self._count = count
    def get_name(self):
        return name
    def get_count(self):
        return count
    def updateCount(self,amount):
        self._count += amount

#make dataframe
data = pd.read_csv('gun-violence-data_01-2013_03-2018.csv', header=0, delimiter=',')

#drop data points with null condressional district values
data = data[data.congressional_district != 0]
data.dropna(axis=0,how='any',subset=['congressional_district'],inplace= True)

#constructing working table
table = data[['incident_id','state','congressional_district']]

#list of districts. Formatting in original file must be corrected to analyze data
districtNames = (table.state + table.congressional_district.astype(str)).unique()
districts = list(map(lambda districtName: District(districtName, 0), districtNames))