Python Pandas - 返回底层数据的维数
要返回基础数据的维数，请使用index.ndim属性。
首先，导入所需的库-
import pandas as pd
创建索引-
index = pd.Index([15, 25, 35, 45, 55])
显示索引-
print("Pandas Index...\n",index)获取数据的维度-
print("\nReturn the dimensions...\n",index.ndim)示例
以下是代码-
import pandas as pd
#创建索引
index = pd.Index([15, 25, 35, 45, 55])
#显示索引
print("Pandas Index...\n",index)
#返回一个表示索引中数据的数组
print("\nArray...\n",index.values)
#返回基础数据形状的元组
print("\nA tuple of the shape of underlying data...\n",index.shape)
#获取数据中的字节
print("\nReturn the bytes...\n",index.nbytes)
#获取数据的维度
print("\nReturn the dimensions...\n",index.ndim)输出结果这将产生以下代码-
Pandas Index... Int64Index([15, 25, 35, 45, 55], dtype='int64') Array... [15 25 35 45 55] A tuple of the shape of underlying data... (5,) Return the bytes... 40 Return the dimensions... 1