【发布时间】:2023-03-06 18:28:01
【问题描述】:
我正在学习google的速成课程,我正在尝试运行这段代码:
import pandas as pd
city_names = pd.Series(['San Francisco', 'San Jose', 'Sacramento'])
population = pd.Series([852469, 1015785, 485199])
cities = pd.DataFrame({ 'City name': city_names, 'Population': population })
cities['Area square miles'] = pd.Series([46.87, 176.53, 97.92])
cities['Population density'] = cities['Population'] / cities['Area square
miles']
cities['Is wide and has saint name'] = (cities['Area square miles'] > 50) &
cities['City name']\
.apply(lambda name: name.startswith('San'))
cities.describe()
如果我在谷歌在线笔记本上运行它,它会打印一个包含数据的表格。如果我使用 pycharm 在我的计算机上运行它,它不会打印任何东西。那应该是输出:
【问题讨论】:
标签: python pandas machine-learning