'Bob','Alice'],'city':['New York','London','Paris','New York','London','Paris'],'category':['A','B','A','B','A','C']}df=pd.DataFrame(data)# 计算name列的唯一值数量unique_count=df['name'].nunique()print(f"Unique names:{u
Displays a logical vector indicating which rows in the data frame ab are duplicates. Print Message for Unique Rows: print("Unique rows of the said data frame:") Prints the message indicating that unique rows in the data frame will be shown. Print Unique Rows: print(unique(ab)) Displays th...
DataFrame.count(axis = 0,level = None,numeric_only = False )功能:计算每列或每行的非NA单元格。None,NaN,NaT和numpy.inf都被视作NA参数:axis : {0或'index',1或'columns'},默认为0(行),如果为每列生成0或'索引'计数。如果为每行生成1或'列'计数。 level : int或str,可选,如果轴是MultiIndex(...
Count Unique操作经常与GroupBy一起使用,以计算每个组中唯一值的数量: importpandasaspd# 创建示例数据框df=pd.DataFrame({'Category':['A','B','A','B','A','C','B','C'],'SubCategory':['X','Y','X','Z','Y','Z','Y','X'],'Value':[1,2,1,3,2,3,2,4]})# 按Category分组...
2. count() DataFrame.count(axis = 0,level = None,numeric_only = False) 功能:计算每列或每行的非NA单元格。 None,NaN,NaT和numpy.inf都被视作NA 参数: axis:{0或'index',1或'columns'},默认为0(行),如果为每列生成0或'索引'计数。如果为每行生成1或'列'计数。
print("5,---") # 改变字段的数据类型为数字 b = pd.read_csv(r"D:\mycode\用pandas\data\dataAnalyst_sql.csv", encoding="gbk") # 把空值排除掉 b = b[~b['top'].isnull()] b.top = b.top.astype('int64') print(b.info()) print("6,...
要求是 arr 里面是相同的维数。 import numpy as np result1 = np.unique([1, 1, 2, 2, 2,...
5、count和size区别:count和size在无空值的时候等价,count统计非空个数,size统计空值个数 5.1、groupby分组单列特征且统计单列特征 path = 'E:/yolanda/algorithm/remote_ceshi/ceshi35/2018tiancheng/chusai/data' operation_train = pd.read_csv(path+'/operation_train_new.csv',sep=',') temp=operation_...
The count of each unique value in a DataFrame is returned by this method. In addition, this method can be used to determine a series object with the count of unique values in a definite column. Example: import pandas as pd s_df = pd.DataFrame({'x': [7, 2, 2, 1], 'y': [0,...
DataFrame.nunique(),DataFrame.count() 1. nunique() DataFrame.nunique(axis = 0,dropna = True ) 功能:计算请求轴上的不同观察结果 参数: axis : {0或'index',1或'columns'},默认为0。0或'index'用于行方式,1或'列'用于列方式。 dropna : b 数据 参考文献 技术 转载 mb5ff40b968831d ...