data_list=[] for i,j in values_dict.items(): data_dict={} data_dict["name"]=i data_dict["value"]=j data_list.append(data_dict) data_list
时间: 2023-11-30 19:01:49 浏览: 33
您的代码是用来创建一个空列表 data_list,并遍历 values_dict 字典的键值对。对于每个键值对,创建一个空字典 data_dict,并将键 "name" 的值设置为当前键的值 i,将键 "value" 的值设置为当前值 j。然后将 data_dict 添加到 data_list 中。最后返回 data_list,其中包含了以字典形式存储的键值对信息。
这样做的目的是将 values_dict 字典中的键值对转换为一个包含多个字典的列表 data_list,每个字典表示一个车型及其对应的值。每个字典包含两个键 "name" 和 "value",分别存储车型名称和对应的值。
相关问题
import os folder_names = [] sections = [] section_data = {} vla_list=[] my_dict = {'front_middle_obs':34, 'obs_em':67 , 'track_em':67, 'front_radar_obs':67, 'front_middle_track':67, 'localization':10, } for root, dirs, files in os.walk(os.getcwd()): for dir_name in dirs: folder_names.append(dir_name) folder_count=0 for root, dirs, files in os.walk(os.getcwd()): folder_count += len(dirs) for i in range(1,folder_count+1): for key,value in my_dict.items(): if key == folder_names[i-1]: vla_list.append(value) for i in range(1, folder_count+1): section_name = f"section{i}" section_data[section_name] = {"\n"+"param1": f"{folder_names[i-1]}"+"\n", "param2": f"{vla_list[i-1]}"+"\n"} sections.append(section_data[section_name]) with open("check_timestamp.ini", "w") as f: for key, value in section_data.items(): f.write("[{}]".format(key)) for k, v in value.items(): f.write("{} = {}".format(k, v)) f.write("") 有语法错误马
这段代码看起来没有明显的语法错误。但是需要注意一些细节:
1. 变量 `section_data` 和 `vla_list` 在第一个 `for` 循环中被定义,但是它们的值没有被清空,而是在第二个 `for` 循环中被修改。因此,如果第一个 `for` 循环被执行多次,这些变量的值将被重复添加。可以在第二个 `for` 循环之前清空这些变量。
2. 在第二个 `for` 循环中,使用 `range(1,folder_count+1)` 遍历文件夹。但是,`folder_names` 的下标是从 0 开始的,因此,应该使用 `range(folder_count)` 来遍历。
3. 在将数据写入文件之前,应该将 `sections` 列表中的所有字典合并为一个字典。可以使用 `dict()` 和 `zip()` 函数来实现。
下面是修改后的代码:
```
import os
folder_names = []
sections = []
section_data = {}
vla_list = []
my_dict = {'front_middle_obs': 34,
'obs_em': 67,
'track_em': 67,
'front_radar_obs': 67,
'front_middle_track': 67,
'localization': 10}
for root, dirs, files in os.walk(os.getcwd()):
for dir_name in dirs:
folder_names.append(dir_name)
folder_count = 0
for root, dirs, files in os.walk(os.getcwd()):
folder_count += len(dirs)
# 清空 section_data 和 vla_list
section_data = {}
vla_list = []
for i in range(folder_count):
for key, value in my_dict.items():
if key == folder_names[i]:
vla_list.append(value)
for i in range(folder_count):
section_name = f"section{i+1}"
section_data[section_name] = {"\n"+"param1": f"{folder_names[i]}"+"\n",
"param2": f"{vla_list[i]}"+"\n"}
sections.append(section_data[section_name])
# 合并所有字典为一个字典
config_data = dict(zip(section_data.keys(), section_data.values()))
with open("check_timestamp.ini", "w") as f:
for key, value in config_data.items():
f.write("[{}]\n".format(key))
for k, v in value.items():
f.write("{} = {}".format(k, v))
f.write("\n")
```
希望能够帮到你!
import openpyxl import matplotlib.pyplot as plt movie_dict = {} with open('D:\\pythonProject1\\电影信息.txt', 'r',encoding='utf-8') as f: for line in f.readlines(): line = line.strip() movie_info = line.split(';') movie_name = movie_info[0] directors = movie_info[1].split(',') actors = movie_info[2].split(',') for director in directors: if director not in movie_dict: movie_dict[director] = {'movies': [movie_name], 'actors': {}} else: movie_dict[director]['movies'].append(movie_name) for actor in actors: for director in directors: if actor not in movie_dict[director]['actors']: movie_dict[director]['actors'][actor] = 1 else: movie_dict[director]['actors'][actor] += 1 wb = openpyxl.load_workbook('D:\\pythonProject1\\电影信息统计.xlsx') ws = wb.create_sheet('导演作品统计',0) ws.title = '导演作品统计' ws.cell(row=1, column=1, value='导演姓名') ws.cell(row=1, column=2, value='执导电影数量') ws.cell(row=1, column=3, value='执导电影列表') row_num = 2 for director, data in movie_dict.items(): movie_list = ','.join(data['movies']) movie_count = len(data['movies']) ws.cell(row=row_num, column=1, value=director) ws.cell(row=row_num, column=2, value=movie_count) ws.cell(row=row_num, column=3, value=movie_list) row_num += 1 wb.save('D:\\pythonProject1\\电影信息统计.xlsx') director_list = [] movie_count_list = [] for director, data in sorted(movie_dict.items(), key=lambda x: len(x[1]['movies']), reverse=True): director_list.append(director) movie_count_list.append(len(data['movies'])) plt.rcParams['font.family'] = 'sans-serif' plt.rcParams['font.sans-serif'] = ['SimHei'] fig, ax = plt.subplots() ax.barh(director_list, movie_count_list) for i, director in enumerate(director_list): max_actor = [] for actor in movie_dict[director]['actors'].keys(): if movie_dict[director]['actors'][actor]==max(movie_dict[director]['actors'].values()): max_actor.append(actor) max_actor = str(max_actor) max_actor = max_actor.rstrip(']') max_actor = max_actor.lstrip('[') ax.annotate(max_actor, xy=(movie_count_list[i], i), xytext=(movie_count_list[i]+1, i), ha='left', va='center') ax.set_xlabel('执导电影数量') ax.set_ylabel('导演姓名') ax.invert_yaxis() plt.show()请帮我解释一下上述代码,详细一点
这段代码主要是对一个电影信息的文本文件进行处理,统计每个导演执导的电影数量和电影列表,并将结果保存到一个Excel文件中。同时,通过Matplotlib库绘制条形图,展示每个导演执导的电影数量,并在图表上标注每个导演最常用的演员。
具体来说,代码的实现如下:
1. 导入所需的库:
```
import openpyxl
import matplotlib.pyplot as plt
```
其中,openpyxl库用于处理Excel文件,matplotlib.pyplot库用于绘制图表。
2. 定义一个空字典movie_dict,用于存储电影信息:
```
movie_dict = {}
```
3. 打开电影信息的文本文件,逐行读取每条电影信息,将电影名称、导演和演员等信息存储到movie_dict中:
```
with open('D:\\pythonProject1\\电影信息.txt', 'r',encoding='utf-8') as f:
for line in f.readlines():
line = line.strip()
movie_info = line.split(';')
movie_name = movie_info[0]
directors = movie_info[1].split(',')
actors = movie_info[2].split(',')
for director in directors:
if director not in movie_dict:
movie_dict[director] = {'movies': [movie_name], 'actors': {}}
else:
movie_dict[director]['movies'].append(movie_name)
for actor in actors:
for director in directors:
if actor not in movie_dict[director]['actors']:
movie_dict[director]['actors'][actor] = 1
else:
movie_dict[director]['actors'][actor] += 1
```
这段代码使用了文件读写和字符串处理等基本操作。其中,strip()方法用于去除每行字符串两端的空格和换行符;split(';')方法用于将每行字符串按分号分割成电影名称、导演和演员等信息;split(',')方法用于将导演和演员等信息按逗号分割成列表。接着,使用for循环遍历每个导演和演员,将导演执导的电影名称存储到movie_dict中,同时统计每个导演最常用的演员。
4. 打开Excel文件,创建一个新的工作表,将导演执导的电影数量和电影列表写入工作表中:
```
wb = openpyxl.load_workbook('D:\\pythonProject1\\电影信息统计.xlsx')
ws = wb.create_sheet('导演作品统计',0)
ws.title = '导演作品统计'
ws.cell(row=1, column=1, value='导演姓名')
ws.cell(row=1, column=2, value='执导电影数量')
ws.cell(row=1, column=3, value='执导电影列表')
row_num = 2
for director, data in movie_dict.items():
movie_list = ','.join(data['movies'])
movie_count = len(data['movies'])
ws.cell(row=row_num, column=1, value=director)
ws.cell(row=row_num, column=2, value=movie_count)
ws.cell(row=row_num, column=3, value=movie_list)
row_num += 1
wb.save('D:\\pythonProject1\\电影信息统计.xlsx')
```
这段代码使用了openpyxl库中的相关方法,打开了一个已存在的Excel文件,创建了一个新的工作表,并将导演执导的电影数量和电影列表写入工作表中。具体来说,使用create_sheet()方法创建了一个名为“导演作品统计”的工作表,并设置了工作表的标题。然后,使用循环遍历movie_dict中的每个导演,将导演姓名、执导电影数量和电影列表写入工作表中。
5. 统计每个导演执导的电影数量,并使用Matplotlib库绘制条形图:
```
director_list = []
movie_count_list = []
for director, data in sorted(movie_dict.items(), key=lambda x: len(x[1]['movies']), reverse=True):
director_list.append(director)
movie_count_list.append(len(data['movies']))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['SimHei']
fig, ax = plt.subplots()
ax.barh(director_list, movie_count_list)
for i, director in enumerate(director_list):
max_actor = []
for actor in movie_dict[director]['actors'].keys():
if movie_dict[director]['actors'][actor]==max(movie_dict[director]['actors'].values()):
max_actor.append(actor)
max_actor = str(max_actor)
max_actor = max_actor.rstrip(']')
max_actor = max_actor.lstrip('[')
ax.annotate(max_actor, xy=(movie_count_list[i], i), xytext=(movie_count_list[i]+1, i), ha='left', va='center')
ax.set_xlabel('执导电影数量')
ax.set_ylabel('导演姓名')
ax.invert_yaxis()
plt.show()
```
这段代码使用了Matplotlib库中的相关方法,统计了每个导演执导的电影数量,并使用barh()方法绘制了一个水平条形图。同时,使用annotate()方法在图表上标注了每个导演最常用的演员。最后,设置了x轴和y轴的标签,以及y轴反转等属性,并使用show()方法显示图表。
总体来说,这段代码主要是对电影信息进行处理和分析,并使用Python中的相关库将结果输出到Excel文件和图表中,展示了Python在数据处理和可视化方面的应用。