import xlrd # 打开文件 data = xlrd.open_workbook('filename.xlsx')data.sheet_names() # 获取所有sheet名字 data.sheetsdata.sheets() # 获取所有sheet对象sheet1 = data.sheet_by_name("test") # 通过sheet名查找sheet2 = data.sheet_by_index(3) # 通过索引查找rows = sheet1.row_values(2)#获取...
data = pd.read_excel(catering_sale, index_col = u'日期') #读取数据,指定“日期”列为索引列 data = data[(data[u'销量'] > 400)&(data[u'销量'] < 5000)] #过滤异常数据 statistics = data.describe() #保存基本统计量 statistics.loc['range'] = statistics.loc['max']-statistics.loc['min...
In this step-by-step tutorial, you'll learn the fundamentals of descriptive statistics and how to calculate them in Python. You'll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built
) housing = load_housing_data() 2.展示(部分) housing.head() housing.info() 3.值的统计housing['ocean_proximity'].value_counts() 4.描述housing.describe() 5.可视化(柱状图) %matplotlib inline import matplotlib.pyplot as Python中如何查看Pandas DataFrame对象列的最大值、最小值、平均值、标准差、...
read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") # removing null values to avoid errors data.dropna(inplace = True) # calling describe method desc = data["Name"].describe() # display desc Python Copy输出: 如输出图片所示,describe()的行为在一系列字符串中是不同的。
示例2 获取DescribeDataFetchProject信息 输入示例 POST / HTTP/1.1 Host: rum.tencentcloudapi.com Content-Type: application/json X-TC-Action: DescribeDataFetchProject <公共请求参数> { "ExtSecond": "自定义2", "Engine": "ie2", "IsAbroad": "1", ...
data={'name':['Tom','Will','John','Bob','Harry'],'age':[28,24,22,30,32],'salary':['5000','3000','3500','6500','$8000']}df=pd.DataFrame(data) Python Copy 现在,我们可以使用describe()函数查看数据的摘要信息: df.describe() ...
示例1 获取DescribeDataStaticResource信息 输入示例 https://rum.tencentcloudapi.com/?Action=DescribeDataStaticResource &ID=1 &StartTime=1625444040 &EndTime=1625454840 &Type=pagepv &Level=1 &Isp=中国移动 &Area=中国 &NetType=2 &Platform=2 &Device=三星 ...
# importing pandas moduleimportpandasaspd# importing regex moduleimportre# making data framedata = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv")# removing null values to avoid errorsdata.dropna(inplace =True)# callingdescribemethoddesc = data["Name"].describe()# ...
# 最大值索引位置 b = data['语文'].argmax() print(b) output 0 # 最大值行索引 c = data['语文'].idxmax() print(c) output 张三 分组 path = r"C:\work\python\pandas_files\分组.xlsx" data = pd.read_excel(path) print(data) output 学号 时间 姓名 班级 性别 数学 语文 英语 0...