Python Pandas - 返回底层数据维度数

要返回底层数据维度数，请使用 index.ndim 属性。

首先，导入所需库 -

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)

获取数据维度 -

print("\nReturn the dimensions...\n",index.ndim)

示例

以下为代码 -

import pandas as pd

# Creating the index
index = pd.Index([15, 25, 35, 45, 55])

# Display the index
print("Pandas Index...\n",index)

# Return an array representing the data in the Index
print("\nArray...\n",index.values)

# Return a tuple of the shape of the underlying data
print("\nA tuple of the shape of underlying data...\n",index.shape)

# get the bytes in the data
print("\nReturn the bytes...\n",index.nbytes)

# get the dimensions of the data
print("\nReturn the dimensions...\n",index.ndim)

输出

这将生成以下代码 -

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

更新于: 13-Oct-2021

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