Salary Earned by Python Data Analyst In the United States, the average annual salary for a Python Data Analysis is $101,023 per year. In case you need a quick salary calculator, that works out to about $48.57 per hour. This equates to $1,943 per week or $8,419 per month. This ...
salarys = train_data['薪资'].unique() #获取到薪资的不同值 for salary insalarys:#根据'-'进行分割并去掉'k',分别将两端的值转换成整数 min_sa = int(salary.split('-')[0][:-1]) max_sa= int(salary.split('-')[1][:-1])#求中位数 median_sa = (min_sa + max_sa) / 2 #判断...
salarys = train_data['薪资'].unique() # 获取到薪资的不同值 for salary in salarys: # 根据'-'进行分割并去掉'k',分别将两端的值转换成整数 min_sa = int(salary.split('-')[0][:-1]) max_sa = int(salary.split('-')[1][:-1]) # 求中位数 median_sa = (min_sa + max_sa) /...
zhaopin.loc[zhaopin.HighOrLow==2, 'HighSalary'] = zhaopin[zhaopin.HighOrLow==2].LowSalary.apply(lambda x: 1.2*x)zhaopin.LowSalary , zhaopin.HighSalary = zhaopin.LowSalary.apply(lambda x: '%.1f'%x), zhaopin.HighSalary.apply(lambda x: '%.1f'%x) Workplace 对工作地区进行统一 #查看工作...
salarys = train_data['薪资'].unique()#获取到薪资的不同值forsalaryinsalarys:#根据'-'进行分割并去掉'k',分别将两端的值转换成整数min_sa = int(salary.split('-')[0][:-1]) max_sa= int(salary.split('-')[1][:-1])#求中位数median_sa = (min_sa + max_sa) / 2#判断其值并划分...
find函数找出连接号‘-’的位置,bottomSalary为切片【开头至连接号前一位之间的数字】,topSalary为切片【连接号后一位至字段总长度前一位之间的数字】;如果salary字段为‘K以上’,没有连接号,则find函数返回值为-1,bottomSalary为切片【开头至K之间的数字】,此时设定topSalary等于bottomSalary。注意由于python大小写敏...
bottomSalary=word[:position-1] topSalary=word[position+1:length-1] else: #upper()把字母转化成大写。 bottomSalary=word[:word.upper().find('K')] topSalary=bottomSalary if method =='bottom': return bottomSalary else: return topSalary ...
1.数据源 kaggle,具体网址来源Data Science Job Salaries (kaggle.com) 2.数据清洗 1importnumpy as np2importpandas as pd3df = pd.read_csv('ds_salaries.csv')4print(df.head()) 1#这里统一用slary_in_usd为标准计量工资2df.drop(columns=['salary','salary_currency'], inplace=True)34print(df....
data={'Employee ID':[1,2,3,4,5],'Name':['Alice','Bob','Charlie','David','Eva'],'Department':['HR','IT','HR','IT','HR'],'Position':['Manager','Developer','Intern','Manager','Analyst'],'Salary':[5000,7000,2000,8000,6000]}df=pd.DataFrame(data) ...
salary: int = 0 record_time: datetime.datetime = \ field(init=False, default_factory=datetime.datetime.now) # 資料紀錄時間 # 創造實例的時候引數 *不可以* 包含 record_time,不然會出現 error hao = Employee("Hao Huang", "Data Analyst", 22_000) ...