array 0维 1维 及以上 注意0维shape不可取下标

import numpy as np
import pandas as pd
for obj in ['StrOrIntOr', [], ['element'], [[]], [[],[]]]:
    arr = np.array(obj)
    df = pd.DataFrame(
        [i, type(i)]
        for i in
        [obj, arr, arr.shape, len(arr.shape)]
    )
    df.columns = ["display", "type"]
    df.index = ["obj", "array", "shape", "dimmension"]
    display(df)

import numpy as np
import pandas as pd
for obj in ['StrOrIntOr', [], ['element'], [[]], [[],[]]]:
    arr = np.array(obj)
    dim = len(arr.shape)
    if dim == 0:
        # 需要[]
        df = pd.DataFrame([arr])
        # df.shape[0] == 1, 可取行下标
        df_setFirstRowAsColName = df.copy()
        df_setFirstRowAsColName.columns = df.iloc[0]
        df_dropFirstRow = df_setFirstRowAsColName.drop(index=0).reset_index(drop=True)
    elif dim == 1:
        df = pd.DataFrame(arr)
        # np.array([]).shape == (0,)
        # pd.DataFrame(np.array([])).shape == (0, 1)
        # 不可取行下标
        if arr.shape[0] == 0:
            df_setFirstRowAsColName = df.copy()
            df_setFirstRowAsColName.columns = ["不可取下标"]
            df_dropFirstRow = "不可取下标"
        # array(['element']).shape = (1,)
        elif arr.shape[0] > 0:
            df_setFirstRowAsColName = df.copy()
            df_setFirstRowAsColName.columns = df.iloc[0]
            df_dropFirstRow = df_setFirstRowAsColName.drop(index=0).reset_index(drop=True)
    elif dim > 1:
        df = pd.DataFrame(arr)
        df_setFirstRowAsColName = df.copy()
        df_setFirstRowAsColName.columns = df.iloc[0]
        df_dropFirstRow = df_setFirstRowAsColName.drop(index=0).reset_index(drop=True)