Question

我有一个循环读取文档中的Excel工作表。我想将它们全部存储在列表中：

  DF_list= list()

  for sheet in sheets:
     df= pd.read_excel(...)
     DF_list = DF_list.append(df)

如果我输入：

[df df df df]

它有效。

抱歉，我有一个Matlab背景，并不习惯Python，但我喜欢它。感谢。

Answer 1

试试这个

DF_list= list()

for sheet in sheets:

   df = pd.read_excel(...)

   DF_list.append(df)

或者对于更紧凑的python，这样的事情可能会做

DF_list=[pd.read_excel(...) for sheet in sheets]

Answer 2

.append()修改列表并返回None。您在第一个循环中使用DF_list覆盖None，并且第二个循环中的追加将失败。

因此：

DF_list = list()

for sheet in sheets:
    DF_list.append(pd.read_excel(...))

或使用列表理解：

DF_list = [pd.read_excel(...) for sheet in sheets]

Answer 3

完整的解决方案如下：

# (0) Variable containing location of excel file containing many sheets
excelfile_wt_many_sheets = 'C:\this\is\my\location\and\filename.xlsx'

# (1) Initiate empty list to hold all sheet specific dataframes
df_list= []

# (2) create unicode object 'sheets' to hold all sheet names in the excel file
df = pd.ExcelFile(excelfile_wt_many_sheets)
sheets = df.sheet_names

# (3) Iterate over the (2) to read in every sheet in the excel into a dataframe 
#     and append that dataframe into (1)
for sheet in sheets:
    df = pd.read_excel(excelfile_wt_many_sheets, sheet)
    df_list.append(df)

Answer 4

如果您使用参数sheet_name=None：

dfs = pd.read_excel(..., sheet_name=None)

它将返回Dataframes字典：

sheet_name : string, int, mixed list of strings/ints, or None, default 0

    Strings are used for sheet names, Integers are used in zero-indexed
    sheet positions.

    Lists of strings/integers are used to request multiple sheets.

    Specify None to get all sheets.

    str|int -> DataFrame is returned.
    list|None -> Dict of DataFrames is returned, with keys representing
    sheets.

    Available Cases

    * Defaults to 0 -> 1st sheet as a DataFrame
    * 1 -> 2nd sheet as a DataFrame
    * "Sheet1" -> 1st sheet as a DataFrame
    * [0,1,"Sheet5"] -> 1st, 2nd & 5th sheet as a dictionary of DataFrames
    * None -> All sheets as a dictionary of DataFrames

Answer 5

实际上，不需要定义新列表来存储一堆数据帧。在具有多张工作表的excel文件上应用的pandas.ExcelFile函数返回ExcelFile对象，该对象是一个可以将一组数据帧捕获在一起的集合。希望下面的代码有所帮助。

df = pd.ExcelFile('C:\read_excel_file_with_multiple_sheets.xlsx')
Sheet_names_list = df.sheet_names
for sheet in Sheet_names_list :
   df_to_print = df.parse(sheet_name=sheet)
   print df_to_print

Python：在列表中存储多个数据帧

5 个答案: