使用pandas忽略行列索引,纵向拼接多个dataframe

import pandas as pd
from random import Random 
 
# 随机生成一堆单词作为公共的列名
def random_list(random_str_count, randomlengtd=6):
 result_list = []
 random = Random()
 chars = "qwertyuiopasdfghjklzxcvbnm"
 for str_count in range(random_str_count):
 ranstr = ""
 lengtd = len(chars) - 1
 for str_lengtd in range(randomlengtd):
 ranstr += chars[random.randint(0, lengtd)]
 result_list.append(ranstr)
 return result_list 
 
def combine_as_data_location(pd_list, columns=''):
 if not pd_list:
 return None
 old_columns = pd_list[0].columns
 if columns:
 new_columns = columns
 else:
 new_columns = random_list(pd_list[0].shape[1])
 for data_df in pd_list:
 # data is pandas Dataframe
 data_df.columns = new_columns
 result_df = pd.concat(pd_list, ignore_index=True)
 if columns:
 return result_df
 else:
 result_df.columns = old_columns
 return result_df 
result_df = combine_as_data_location([df1,df2,df3])

import pandas as pd
df1=pd.DataFrame([10,12,13])
df2=pd.DataFrame([22,33,44,55])
df3=pd.DataFrame([90,94])