python提取excel一列或多列数据另存为新表代码实例

import pandas as pd
def excel_one_line_to_list():
    df = pd.read_excel(r'D:\Users\gxcaoty\Desktop\全流程\2.xlsx', usecols=[1])  # 读取项目名称一列,不要列名names=None
    df_li = df.values.tolist()
    result = []
    for s_li in df_li:
        result.append(s_li[0])
    print(result)
    df = pd.DataFrame(result, columns=['name'])
    df.to_excel("yili.xlsx", index=False)
if __name__ == '__main__':
    excel_one_line_to_list()

import pandas as pd
def excel_one_line_to_list():
    df = pd.read_excel(r'D:\Users\gxcaoty\Desktop\全流程\2.xlsx', usecols=[1, 2])  # 读取项目名称和行业领域两列，并不要列名names=None
    df_li = df.values.tolist()
    print(df_li)
    df = pd.DataFrame(df_li, columns=['name', 'local'])
    df.to_excel("li.xlsx", index=False)

if __name__ == '__main__':
    excel_one_line_to_list()

import pandas as pd
import numpy as np

# 读取Excel文件
df = pd.read_excel('data.xlsx')

# 选择需要进行关联分析的两列数据
data1 = df['列名1']
data2 = df['列名2']

# 计算相关系数
r = np.corrcoef(data1, data2)[0, 1]

# 打印相关系数
print('相关系数：', r)