DA2. 牛客网用户数据集的大小
描述
Python 3 解法, 执行用时: 783ms, 内存消耗: 524288KB, 提交时间: 2022-07-26
import pandas as pd Nowcoder = pd.read_csv('Nowcoder.csv',sep=',',dtype=object) a=len(Nowcoder) b=len(Nowcoder.columns) print((a,b))
Python 3 解法, 执行用时: 783ms, 内存消耗: 524288KB, 提交时间: 2022-07-26
import pandas as pd Nowcoder = pd.read_csv('Nowcoder.csv',sep=',',dtype=object) print((len(Nowcoder),len(Nowcoder.columns)))
Python 3 解法, 执行用时: 785ms, 内存消耗: 524288KB, 提交时间: 2022-07-12
import pandas as pd Nowcoder = pd.read_csv('Nowcoder.csv',encoding='ISO-8859-1',sep=',',dtype=object) a = len(Nowcoder) b = len(Nowcoder.columns) print((a,b)) # print(Nowcoder.shape)
Python 3 解法, 执行用时: 788ms, 内存消耗: 524288KB, 提交时间: 2022-07-26
import pandas as pd Nowcoder = pd.read_csv('Nowcoder.csv',sep=',',dtype=object) print((len(Nowcoder),len(Nowcoder.columns)))
Python 3 解法, 执行用时: 789ms, 内存消耗: 524288KB, 提交时间: 2022-07-13
# import pandas as pd # Nowcoder = pd.read_csv('Nowcoder.csv',sep=',',dtype=object) # rows = Nowcoder.shape # cols = Nowcoder.shape[0] # print(rows) # print(cols) # # print((rows, cols)) import pandas as pd Nowcoder = pd.read_csv('Nowcoder.csv',sep=',',dtype=object) print(Nowcoder.shape) a = Nowcoder.shape[0] b = Nowcoder.shape[1] print((a,b))