Python 熊猫在合并文件之间留空 如何删除第6行和第7行中的空行? 当我将值1和值2与值3合并时,一切正常。

Python 熊猫在合并文件之间留空 如何删除第6行和第7行中的空行? 当我将值1和值2与值3合并时,一切正常。 ,python,pandas,dataframe,Python,Pandas,Dataframe,原因是df1是一个.xls文件,而其他文件是一个.xlsx文件 ListOri = 'Blocked_Persons_List_original.xls' NG = 'NG.xlsx' MB = 'MB.xlsx' df1 = pd.read_excel(ListOri) df2 = pd.read_excel(NG) df3 = pd.read_excel(MB) values1 = df1[["Unique ID","Name","

原因是df1是一个.xls文件,而其他文件是一个.xlsx文件


ListOri = 'Blocked_Persons_List_original.xls'
NG = 'NG.xlsx'
MB = 'MB.xlsx'


df1 = pd.read_excel(ListOri)
df2 = pd.read_excel(NG)
df3 = pd.read_excel(MB)


values1 = df1[["Unique ID","Name","Street of residence","City of residence","Country of residence","Date of birth","Place of birth","Country of birth","Citizenship","Account number/ IBAN","BIC Code","Source","Notice","Reserve 1","Reserve 2","Amount EURO","Currency"]]
values2 = df2[["Name","Account number/ IBAN","BIC Code","Notice"]]
values3 = df3[["Account number/ IBAN","BIC Code","Notice","Reserve 1","Reserve 2"]]


dataframes = [values1, values2, values3]




join = pd.concat(dataframes,ignore_index = True)

join.to_excel("output.xlsx")```