Python-pandas返回重复数据的index问题

import pandas as pd
data = pd.read_excel('test.xlsx',header=None)

# 因为都进来的数据,我们需要的列名还是在第一行,固我们取第一行的所有
judge_nan_col = data.iloc[1,:].notna().tolist()
print(judge_nan_col)

count = judge_nan_col.count(False)
index_list = []
index = -1

# 通过list.index()方法的__start参数,指定起始索引
for i in range(0, count):
	index = judge_nan_col.index(False, index + 1)
	index_list.append(index)
print(index_list)

list_len = len(judge_nan_col)
index_list = []
for i in range(0, list_len):
    if judge_nan_col[i] == False:
        index_list.append(i)
print(index_list)

index_list = [i for i, col in enumerate(judge_nan_col) if col == False]
print(index_list)

# 可以根据需要看删除哪一列,我这里是全部进行删除
data = data.drop(index_list,axis=1)
print(data)

# 获取列名
columns = data.iloc[1,:].tolist()
print('columns: ',columns,'\n')
print('=================================')
data = data.iloc[1:,:]
data.columns=columns
print(data)

data.to_excel('complete.xlsx',index=False)