2 回答

TA贡献1786条经验 获得超11个赞
有很多方法可以做到这一点,具体取决于您的数据和您愿意使用的工具:
a) 用列表和标题逐行写入 CSV
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
文件1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) 用字典和标题逐行写入 CSV
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
文件2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) 用 Pandas 编写 CSV
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
文件3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish

TA贡献1829条经验 获得超4个赞
您可以使用它来添加标题:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'\n')
关于用数据填充 CSV,这将取决于您将用作源的原始数据。
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