Python Pandas read_excel 缺少行

Question

在我的代码中，我有 12 个 Excel 工作表，其中包含大量行，给我带来问题的那个有 +2k 行，列为（年、周、日期、名称...）

尝试过滤信息，我发现缺少 Excel 实际拥有的信息

groupby_df = df.groupby(['Year','Week','column_a','column_b','column_c','column_d','column_e','column_f']).size().reset_index(name='Amount')
"""
I stoped using the filter because I notice that it didn't have the data of week 44 and year 2024
"""
df['Week'] = df['Week'].astype('int64') #I thought the problem was that the column was a 'UInt32' 32 bits integer so I change it to the one I have used ('int64')
print(df.info()) # Checking if the astype function actually did a change 
df_week = df[df['Week']==44]
print(df_week['Year'].unique())

#it print [2023] and it should've also 2024

有人知道问题出在哪里吗？

Answer 1

https://stackoverflow.com/a/38561012/6309278

我假设您的 Excel 文件中有空白，请读取更多数据并使用 dropna(how=all) 删除空白，请参阅上面的链接以获取有关如何读取更多数据的答案。