根据列值从数据框中删除行

import pandas as pd

# 加载数据框
df = pd.read_csv('data.csv')

# 确定删除条件
column_value = 'some_value'  # 列的特定数值

# 使用条件删除行
df = df[df['column_name'] != column_value]

# 加载数据框
df <- read.csv('data.csv')

# 确定删除条件
column_value <- 'some_value'  # 列的特定数值

# 使用条件删除行
df <- df[!df$column_name == column_value, ]

import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVParser;
import org.apache.commons.csv.CSVPrinter;
import org.apache.commons.csv.CSVRecord;

import java.io.FileReader;
import java.io.FileWriter;
import java.io.Reader;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;

public class DeleteRowsFromDataFrame {
    public static void main(String[] args) throws Exception {
        // 加载数据框
        Reader reader = new FileReader("data.csv");
        CSVParser parser = CSVFormat.DEFAULT.withHeader().parse(reader);
        List<CSVRecord> records = parser.getRecords();

        // 确定删除条件
        String columnValue = "some_value";  // 列的特定数值

        // 使用条件删除行
        List<CSVRecord> newRecords = new ArrayList<>();
        for (CSVRecord record : records) {
            if (!record.get("column_name").equals(columnValue)) {
                newRecords.add(record);
            }
        }

        // 保存删除后的数据框
        Writer writer = new FileWriter("new_data.csv");
        CSVPrinter printer = CSVFormat.DEFAULT.withHeader().print(writer);
        for (CSVRecord record : newRecords) {
            printer.printRecord(record);
        }
        printer.close();
    }
}