Pandas常用命令

仍然使用之前爬取的链家数据：

查看数据缺失情况

#检查数据缺失情况
df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 82644 entries, 0 to 82643
Data columns (total 10 columns):
Region        82644 non-null object
Garden        82644 non-null object
Layout        82644 non-null object
Area          82644 non-null float64
Direction     82644 non-null object
Renovation    82644 non-null object
Elevator      64162 non-null object
Price         82644 non-null float64
Year          62450 non-null float64
PerPrice      82644 non-null int64
dtypes: float64(3), int64(1), object(6)
memory usage: 6.3+ MB

 统计特性

# 结果保留两位小数
df.describe().round(2)

# 调整列的顺序，把Price放在最后一列
columns = ['Region', 'Garden', 'Layout', 'Area', 'Direction', 'Renovation', 'Elevator', 'Year', 'PerPrice', 'Price']
df = pd.DataFrame(df, columns=columns)
df.head()