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[英]Reading/writing a list of nested dictionaries to/from a CSV file (Python)
[英]Create a list of nested dictionaries from a single csv file in python
我有一个具有以下结构的 csv 文件:
team,tournament,player
Team 1,spring tournament,Rebbecca Cardone
Team 1,spring tournament,Salina Youngblood
Team 1,spring tournament,Catarina Corbell
Team 1,summer tournament,Cara Mejias
Team 1,summer tournament,Catarina Corbell
...
Team 10, spring tournament,Jessi Ravelo
我想创建一个包含玩家字典列表的嵌套字典(团队、锦标赛)。 期望的结果是这样的:
{'data':
{Team 1:
{'spring tournament':
{'players': [
{name: Rebecca Cardone},
{name: Salina Youngblood},
{name: Catarina Corbell}]
},
{'summer tournament':
{'players': [
{name: Cara Mejias},
{name: Catarina Corbell}]
}
}
},
...
{Team 10:
{'spring tournament':
{'players': [
{name: Jessi Ravelo}]
}
}
}
}
我一直在努力像这样格式化它。 我已经能够成功嵌套第一级(团队 # --> 锦标赛),但我无法嵌套第二级。 目前,我的代码如下所示:
d = {}
header = True
with open("input.csv") as f:
for line in f.readlines():
if header:
header = False
continue
team, tournament, player = line.strip().split(",")
d_team = d.get(team,{})
d_tournament = d_team.get(tournament, {})
d_player = d_tournament.get('player',['name'])
d_player.append(player)
d_tournament['player'] = d_tournament
d_team[tournament] = d_tournament
d[team] = d_team
print(d)
修复我的代码以便创建嵌套字典的下一步是什么?
您的实施存在一些问题:
d_player = d_tournament.get('player',['name'])
。 但是您实际上想要获取名为 player s的键,这应该是一个字典列表。 这些字典中的每一个都必须具有{"name": "Player's Name"}
的形式。 所以你想要l_player = d_tournament.get('players',[])
(默认为空列表),然后执行l_player.append({"name": player})
(我将其重命名为l_player
因为它是一个列表,不是字典)。d_tournament['player'] = d_tournament
。 我怀疑你的意思是d_tournament['player'] = d_player
team, tournament, player = (word.strip() for word in line.split(","))
进行这些更改后,您的代码可以正常工作
我强烈建议您使用csv.reader
class 来读取您的 CSV 文件,而不是手动用逗号分隔行。
此外,由于 python 的容器(列表和字典)包含对其内容的引用,您只需添加一次容器,然后使用mydict["key"] = value
或mylist.append()
对其进行修改,这些更改将反映在父容器也是。 由于这种行为,您不需要像使用d_team[tournament] = d_tournament
那样在循环中重复分配这些东西
allteams = dict()
hasHeader = True
with open("input.csv") as f:
csvreader = csv.reader(f)
if hasHeader: next(csvreader) # Consume one line if a header exists
# Iterate over the rows, and unpack each row into three variables
for team_name, tournament_name, player_name in csvreader:
# If the team hasn't been processed yet, create a new dict for it
if team_name not in allteams:
allteams[team_name] = dict()
# Get the dict object that holds this team's information
team = allteams[team_name]
# If the tournament hasn't been processed already for this team, create a new dict for it in the team's dict
if tournament_name not in team:
team[tournament_name] = {"players": []}
# Get the tournament dict object
tournament = team[tournament_name]
# Add this player's information to the tournament dict's "player" list
tournament["players"].append({"name": player_name})
# Add all teams' data to the "data" key in our result dict
result = {"data": allteams}
print(result)
这给了我们想要的东西(美化的输出):
{
'data': {
'Team 1': {
'spring tournament': {
'players': [
{ 'name': 'Rebbecca Cardone' },
{ 'name': 'Salina Youngblood' },
{ 'name': 'Catarina Corbell' }
]
},
'summer tournament': {
'players': [
{ 'name': 'Cara Mejias' },
{ 'name': 'Catarina Corbell' }
]
}
},
'Team 10': {
' spring tournament': {
'players': [
{ 'name': 'Jessi Ravelo' }
]
}
}
}
}
您描述的示例字典是不可能的(如果您想要键“Team 1”下的多个字典,请将它们放在一个列表中),但是这个片段:
if __name__ == '__main__':
your_dict = {}
with open("yourfile.csv") as file:
all_lines = file.readlines()
data_lines = all_lines[1:] # Skipping "team,tournament,player" line
for line in data_lines:
line = line.strip() # Remove \n
team, tournament_type, player_name = line.split(",")
team_dict = your_dict.get(team, {}) # e.g. "Team 1"
tournaments_of_team_dict = team_dict.get(tournament_type, {'players': []}) # e.g. "spring_tournament"
tournaments_of_team_dict["players"].append({'name': player_name})
team_dict[tournament_type] = tournaments_of_team_dict
your_dict[team] = team_dict
your_dict = {'data': your_dict}
对于此示例yourfile.csv
:
team,tournament,player
Team 1,spring tournament,Rebbecca Cardone
Team 1,spring tournament,Salina Youngblood
Team 2,spring tournament,Catarina Corbell
Team 1,summer tournament,Cara Mejias
Team 2,summer tournament,Catarina Corbell
给出以下内容:
{
"data": {
"Team 1": {
"spring tournament": {
"players": [
{
"name": "Rebbecca Cardone"
},
{
"name": "Salina Youngblood"
}
]
},
"summer tournament": {
"players": [
{
"name": "Cara Mejias"
}
]
}
},
"Team 2": {
"spring tournament": {
"players": [
{
"name": "Catarina Corbell"
}
]
},
"summer tournament": {
"players": [
{
"name": "Catarina Corbell"
}
]
}
}
}
}
Process finished with exit code 0
也许我忽略了一些东西,但你不能使用:
df.groupby(['team','tournament'])['player'].apply(list).reset_index().to_json(orient='records')
你可以这样处理它:
from collections import defaultdict
import csv
from pprint import pprint
d = defaultdict(dict)
with open('f00.txt', 'r') as f:
reader = csv.DictReader(f)
for row in reader:
d[ row['team'] ].setdefault(row['tournament'], []
).append(row['player'])
pprint(dict(d))
印刷:
{'Team 1': {'spring tournament': ['Rebbecca Cardone',
'Salina Youngblood',
'Catarina Corbell'],
'summer tournament': ['Cara Mejias', 'Catarina Corbell']},
'Team 10': {' spring tournament': ['Jessi Ravelo']}}
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