for chunk in pd.read_csv('large_data.csv', chunksize=1000):
    process(chunk)  # 自定義處理函數(shù)

PS D:\bsop\zhijianaiweb> & D:/Python/Python39/python.exe c:/Users/wangzq/Desktop/csv.py
Traceback (most recent call last):
  File "c:\Users\wangzq\Desktop\csv.py", line 1, in <module>
    import csv
  File "c:\Users\wangzq\Desktop\csv.py", line 4, in <module>
    writer = csv.writer(file)
AttributeError: partially initialized module 'csv' has no attribute 'writer' (most likely due to a circular import)
PS D:\bsop\zhijianaiweb>

import csv
with open('output.csv', mode='w', newline='') as file:
    writer = csv.writer(file)
    writer.writerow(['Name', 'Age'])
    writer.writerow(['Alice', 30])

import csv

with open('data.csv', mode='r') as file:
    reader = csv.reader(file)
    for row in reader:
        print(row)

import pandas as pd

df = pd.read_csv('data.csv')
print(df.head())

# 過濾年齡大于25的人
filtered_df = df[df['Age'] > 25]
print(filtered_df)

# 統(tǒng)計年齡的平均值
average_age = df['Age'].mean()
print(f"Average Age: {average_age}")

df.to_csv('filtered_output.csv', index=False)

# 用0填充缺失值
df.fillna(0, inplace=True)

# 刪除含有缺失值的行
df.dropna(inplace=True)

import csv
with open('data.csv', mode='r') as file:
    reader = csv.DictReader(file)
    for row in reader:
        print(row['Name'], row['Age'])

import csv
with open('output.csv', mode='w', newline='') as file:
    fieldnames = ['Name', 'Age']
    writer = csv.DictWriter(file, fieldnames=fieldnames)
    writer.writeheader()
    writer.writerow({'Name': 'Bob', 'Age': 22})

import pandas as pd

# 讀取數(shù)據(jù)
df = pd.read_csv('employees.csv')

# 過濾薪水大于50000的員工
high_salary_df = df[df['Salary'] > 50000]

# 計算平均薪水
average_salary = high_salary_df['Salary'].mean()
print(f"Average Salary of High Earners: {average_salary}")