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题解 | #牛客的数据分析师#

import numpy as np d = np.genfromtxt('Nowcoder.csv', delimiter = ',', dtype=float) PI = np.pi res = np.round(np.sin(d*PI/180),decimals=3) print(res...

2024-07-24

0 98

题解 | #迎新方阵的选取#

import numpy as np # 使用 loadtxt 函数读取 CSV 文件 data = np.genfromtxt('Policy.csv', delimiter=',',dtype=int) a = [i for i in range(10)] b = a[-1::-1] array...

2024-07-24

0 97

题解 | #牛客的优秀程序员#

import numpy as np array = np.loadtxt("Coder.csv", delimiter=",",dtype=float64) # delimiter=',' 参数指定了字段的分隔符为逗号 print(array) print(...

2024-07-24

0 100

题解 | #短视频用户数据和购买数据#

import pandas as pd Tk = pd.read_csv("Tk.csv", sep=",") Shop = pd.read_csv("Shop.csv", sep=",") df = pd.merge...

2024-07-23

0 97

题解 | #不同等级会员的购买力#

import pandas as pd df= pd.read_csv('Order.csv',sep=',') print(df.groupby('VIP_level')['price'].mean()) print(df.groupby('VIP_level')['shop_name'].n...

2024-07-23

0 131

题解 | #短视频用户数据分析#

import pandas as pd df= pd.read_csv('Tk.csv',sep=',') print(df['Days'].median()) print(df['Fans'].max()) print(df[df['Days']>0]['Cost'].mean())

2024-07-23

0 112

题解 | #统计618的销售额#

import pandas as pd df= pd.read_csv('Order.csv',sep=',',dtype=object) date = df[(df['date'] == '2022/6/18')] print(pd.to_numeric(date['price']).sum()...

2024-07-23

0 95

题解 | #筛选618的订单#

import pandas as pd df_Order= pd.read_csv('Order.csv',sep=',',dtype=object) order_618 = df_Order[(df_Order['date'] == '2022/6/18')] print(order_618[[...

2024-07-23

1 104

题解 | #牛客的资深员工#

import pandas as pd df_Nowcoder= pd.read_csv('Nowcoder.csv',sep=',') get_emp = (df_Nowcoder['language'] == 'C')&(pd.to_numeric(df_Nowcoder['worki...

2024-07-23

0 100

题解 | #牛客网的刷题数据#

import pandas as pd df_Nowcoder = pd.read_csv('Nowcoder.csv') print(list(df_Nowcoder.columns)) print(df_Nowcoder.shape[0]) # 使用shape属性，返回一个元组，第一个元素是行...

2024-07-23

0 100