Python Pandas – 获取数据类型和 DataFrame 列信息
要获取数据类型和DataFrame列信息，请使用该info()方法。使用别名导入所需的库-
import pandas as pd;
创建一个包含3列的DataFrame-
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Audi', 'BMW', 'Lexus', 'Tesla', 'Lexus', 'Mustang'],"Place": ['Delhi','Bangalore','Hyderabad','Chandigarh','Pune', 'Mumbai', 'Jaipur'],"Units": [100, 150, 50, 110, 90, 120, 80]
}
)获取有关DataFrame的数据类型和其他信息-
dataFrame.info()
示例
以下是代码-
import pandas as pd;
#创建一个数据框
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Audi', 'BMW', 'Lexus', 'Tesla', 'Lexus', 'Mustang'],"Place": ['Delhi','Bangalore','Hyderabad','Chandigarh','Pune', 'Mumbai', 'Jaipur'],"Units": [100, 150, 50, 110, 90, 120, 80]
}
)
print"DataFrame ...\n",dataFrame
#从列中获取唯一值
print"\nUnique values from a column ...\n",dataFrame['Car'].unique()
print"\nCount unique values from a column ...\n",dataFrame['Car'].nunique()
#获取数据类型信息
print"\n Get the datatype info ...\n",dataFrame.info()输出结果这将产生以下输出-
DataFrame ...
Car Place Units
0 BMW Delhi 100
1 Audi Bangalore 150
2 BMW Hyderabad 50
3 Lexus Chandigarh 110
4 Tesla Pune 90
5 Lexus Mumbai 120
6 Mustang Jaipur 80
Unique values from a column ...
['BMW' 'Audi' 'Lexus' 'Tesla' 'Mustang']
Count unique values from a column ...
5
Get the datatype info ...
RangeIndex: 7 entries, 0 to 6
Data columns (total 3 columns):
Car 7 non-null object
Place 7 non-null object
Units 7 non-null int64
dtypes: int64(1), object(2)
memory usage: 240.0+ bytes
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