Python，Pandas从数据框创建新数据

Question

原始电子表格有2列。我想按给定的标准选择行（根据月份），并将它们放入新文件中。

原始文件如下：

我正在使用的代码：     进口口     将pandas导入为pd

working_folder = "C:\\My Documents\\"

file_list = ["Jan.xlsx", "Feb.xlsx", "Mar.xlsx"]

with open(working_folder + '201703-1.csv', 'a') as f03:
    for fl in file_list:
        df = pd.read_excel(working_folder + fl)
        df_201703 = df[df.ARRIVAL.between(20170301, 20170331)] 
        df_201703.to_csv(f03, header = True)

with open(working_folder + '201702-1.csv', 'a') as f02:
    for fl in file_list:
        df = pd.read_excel(working_folder + fl)
        df_201702 = df[df.ARRIVAL.between(20170201, 20170231)] 
        df_201702.to_csv(f02, header = True)

with open(working_folder + '201701-1.csv', 'a') as f01:
    for fl in file_list:
        df = pd.read_excel(working_folder + fl)
        df_201701 = df[df.ARRIVAL.between(20170101, 20170131)] 
        df_201701.to_csv(f01, header = True)

结果如下：

我想做的改进：

1. 将它们保存为xlsx文件而不是.csv
2. 没有第一个索引列
3. 仅保留1行（顶部）标题（现在每个csv有3行标题）

我该怎么做？谢谢。

Answer 1

我认为需要一起创建list of DataFrame s，concat，然后写入文件：

dfs1 = []

for fl in file_list:
    df = pd.read_excel(working_folder + fl)
    dfs1.append(df[df.ARRIVAL.between(20170101, 20170131)] )

pd.concat(dfs1).to_excel('201701-1.xlsx', index = False)

列表理解应该简化什么：

file_list = ["Jan.xlsx", "Feb.xlsx", "Mar.xlsx"]
dfs1 = [pd.read_excel(working_folder + fl).query('20170101 >= ARRIVAL >=20170131') for fl in file_list]

pd.concat(dfs1).to_excel('201701-1.xlsx', index = False)