Đối với các tệp CSV đơn giản, chẳng hạn như các tệp sau
id,col1,col2,col3
row1,r1c1,r1c2,r1c3
row2,r2c1,r2c2,r2c3
row3,r3c1,r3c2,r3c3
row4,r4c1,r4c2,r4c3
Bạn có thể chuyển đổi nó thành từ điển Python chỉ bằng cách sử dụng các bản dựng
with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
Điều này sẽ mang lại từ điển sau
{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
Lưu ý: Từ điển Python có các khóa duy nhất, vì vậy nếu tệp CSV của bạn đã trùng lặp ids
, bạn nên nối mỗi hàng vào một danh sách.
for row in data:
key, *values = row
if key not in csv_dict:
csv_dict[key] = []
csv_dict[key].append[{key: value for key, value in zip[header, values]}]
import
csv
5with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
6 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
7with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
8 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
9with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
import
csv
5with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
6 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
7with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
8 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
9with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
& nbsp; Ví dụ 2: Tải CSV đến Từ điển & NBSP; Working with csv files in Python
Các is a simple file format used to store tabular data, such as a spreadsheet or database. CSV file stores tabular data [numbers and text] in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. CSV raw data is not utilizable in order to use that in our Python program it can be more beneficial if we could read and separate commas and store them in a data structure. We can convert data into lists or dictionaries or a combination of both either by using functions csv.reader and csv.dictreader or manually directly and in this article, we will see it with the help of code.
Ví dụ 1: Tải CSV vào Danh sách & NBSP; Loading CSV to list
Tệp CSV: & NBSP;
Tải dữ liệu CSV vào danh sách và từ điển
Python3
import
csv
filename
=
"Geeks.csv"
with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
0with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
1with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
2with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
3with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
4with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
5with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
6 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
7with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
8 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
9{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
0{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
1{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
2Output:
Tải dữ liệu CSV vào danh sách và từ điển
import
csv
Example 2: Loading CSV to dictionary
Python3
import
csv
{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
5=
"Geeks.csv"
with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
5with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
6 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
7with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
8 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
9& nbsp; Ví dụ 2: Tải CSV đến Từ điển & NBSP;
for row in data:
key, *values = row
if key not in csv_dict:
csv_dict[key] = []
csv_dict[key].append[{key: value for key, value in zip[header, values]}]
8{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
1{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
2Output:
Tải dữ liệu CSV vào danh sách và từ điển
import
csv
Loading CSV into list of Dictionaries
Python3
with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
5with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
6 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
7with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
8 with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
9with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
0with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
1ids
7ids
8ids
9with open[csv_file] as f:
csv_list = [[val.strip[] for val in r.split[","]] for r in f.readlines[]]
[_, *header], *data = csv_list
csv_dict = {}
for row in data:
key, *values = row
csv_dict[key] = {key: value for key, value in zip[header, values]}
3import
1& nbsp; Ví dụ 2: Tải CSV đến Từ điển & NBSP;
Các
import
2
{'row1': {'col1': 'r1c1', 'col2': 'r1c2', 'col3': 'r1c3'},
'row2': {'col1': 'r2c1', 'col2': 'r2c2', 'col3': 'r2c3'},
'row3': {'col1': 'r3c1', 'col2': 'r3c2', 'col3': 'r3c3'},
'row4': {'col1': 'r4c1', 'col2': 'r4c2', 'col3': 'r4c3'}}
1csv
3Output:
Tải dữ liệu CSV vào danh sách và từ điển