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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
我有一個具有以下結構的 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
我想創建一個包含玩家字典列表的嵌套字典(團隊、錦標賽)。 期望的結果是這樣的:
{'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}]
}
}
}
}
我一直在努力像這樣格式化它。 我已經能夠成功嵌套第一級(團隊 # --> 錦標賽),但我無法嵌套第二級。 目前,我的代碼如下所示:
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)
修復我的代碼以便創建嵌套字典的下一步是什么?
您的實施存在一些問題:
d_player = d_tournament.get('player',['name'])
。 但是您實際上想要獲取名為 player s的鍵,這應該是一個字典列表。 這些字典中的每一個都必須具有{"name": "Player's Name"}
的形式。 所以你想要l_player = d_tournament.get('players',[])
(默認為空列表),然后執行l_player.append({"name": player})
(我將其重命名為l_player
因為它是一個列表,不是字典)。d_tournament['player'] = d_tournament
。 我懷疑你的意思是d_tournament['player'] = d_player
team, tournament, player = (word.strip() for word in line.split(","))
進行這些更改后,您的代碼可以正常工作
我強烈建議您使用csv.reader
class 來讀取您的 CSV 文件,而不是手動用逗號分隔行。
此外,由於 python 的容器(列表和字典)包含對其內容的引用,您只需添加一次容器,然后使用mydict["key"] = value
或mylist.append()
對其進行修改,這些更改將反映在父容器也是。 由於這種行為,您不需要像使用d_team[tournament] = d_tournament
那樣在循環中重復分配這些東西
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)
這給了我們想要的東西(美化的輸出):
{
'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(如果您想要鍵“Team 1”下的多個字典,請將它們放在一個列表中),但是這個片段:
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}
對於此示例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
給出以下內容:
{
"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
也許我忽略了一些東西,但你不能使用:
df.groupby(['team','tournament'])['player'].apply(list).reset_index().to_json(orient='records')
你可以這樣處理它:
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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