def read_csv_column(filename, column_name): df = pd.read_csv(filename) return df[column_name].tolist() def read_multiple_columns(filename, columns): df = pd.read_csv(filename, usecols=columns) return df def filter_data(df, column_name, threshold): return df[df[column_name] > thr...
df = pd.read_csv(file_path) return df[column_name].tolist() 示例 file_path = 'your_file.csv' column_name = 'column_name' column_data = read_specific_column(file_path, column_name) print(column_data) 在这个示例中,我们使用pd.read_csv函数读取CSV文件,将其存储为DataFrame对象。然后,通过...
import pandas as pd # 读取CSV文件 df = pd.read_csv('data.csv') # 读取并打印特定列的数据 print(df['Column1']) # 读取名为'Column1'的列 print(df[['Column1', 'Column3']]) # 读取名为'Column1'和'Column3'的列 # 迭代DataFrame的每一行,并打印特定列的数据 for index, row in df.ite...
3、使用csv读写csv文件示例代码 #encoding:utf-8 import csv #下面这种加了encoding的写法需要在python3环境下运行 csv_reader = csv.reader(open('../../data/capital/2011-Q1-cabi-trip-history-data.csv',encoding='utf-8')) out = open('../../data/capital/a0','w',newline='') csv_writer ...
csv_read = csv.reader(csv_file, delimiter=',') #Delimeter is comma count_line = 0 # Iterate the file object or each row of the file for row in csv_read: if count_line == 0: print(f'Column names are {", ".join(row)}') ...
import csv import pandas as pd with open('D:\Data\新建文件夹\list3.2.csv','r') as csvfile: reader = csv.reader(csvfile) column1 = [row[1]for row in reader] print(column1) # 下面是按照列属性读取的 d = pd.read_csv('D:\Data\新建文件夹\list3.2.csv', usecols=['case', 'roi...
一、CSV格式: csv是Comma-Separated Values的缩写,是用文本文件形式储存的表格数据。 1.csv模块&reader方法读取: import csv with open('enrollments.csv', 'rb') asf: reader =csv.reader(f) print reader out:<_csv.reader object at 0x00000000063DAF48> ...
data=pd.read_csv('data.csv') 1. 步骤3:选择要读取的列数据 最后,我们需要选择我们希望读取的列数据。假设我们希望读取Name列的数据,我们可以使用以下代码: column_data=data['Name'] 1. 代码示例 下面是完整的代码示例,将以上三个步骤组合在一起: ...
在Python中读取CSV数据并指定行列可以使用pandas库。下面是一个简单的示例: import pandas as pd # 读取CSV文件 data = pd.read_csv('data.csv') # 指定行列 # 获取第一行数据 first_row = data.iloc[0] # 获取第一列数据 first_column = data.iloc[:, 0] # 获取指定行列数据 specific_data = data...