背景
[TencentCloudSDKException] code:FailedOperation.ServiceIsolate message:service is stopped due to arrears, please recharge your account in Tencent Cloud requestId:e8809569-6714-42e8-9e14-81bf343bd0d4
[En]
[TencentCloudSDKException] code:FailedOperation.ServiceIsolate message:service is stopped due to arrears, please recharge your account in Tencent Cloud requestId:e4b105ac-c0a2-4594-a841-0a3fc07ab746
实现
def test():
import pdb
import pandas as pd
df = pd.DataFrame({'year': ['2019', '2020'], 'quarter': ['q1', 'q2']})
df['year_quarter'] = df['year'] + "_" + df['quarter'] # 方法1
df['year|year'] = df[['year', 'quarter']].agg('|'.join, axis=1) # 方法2
# 主要注意的是 如果存在 nan 数据怎么办. 先将其转为 str 类型。
# 比如 concate_df["year"] = concate_df["year"].astype(str)
df['year--year'] = df[['year', 'quarter']].apply(lambda x: '--'.join(x), axis=1)
df['year$year'] = df.year.str.cat(df.quarter, sep='$')
Original: https://blog.csdn.net/ljp1919/article/details/109781527
Author: JasonLiu1919
Title: pandas 两列数据合并
原创文章受到原创版权保护。转载请注明出处：https://www.johngo689.com/563197/
转载文章受原作者版权保护。转载请注明原作者出处！