DataFrame的read_excel方法類似于read_csv方法：

dfs = pd.read_excel(xlsx_file, sheetname="sheet1")

Help on function read_excel in module pandas.io.excel:

read_excel(io, sheetname=0, header=0, skiprows=None, skip_footer=0, index_col=None, names=None, parse_cols=None, parse_dates=False, date_parser=None, na_values=None, thousands=None, convert_float=True, has_index_names=None, converters=None, true_values=None, false_values=None, engine=None, squeeze=False, **kwds)

Read an Excel table into a pandas DataFrame

Parameters

----------

io : string, path object (pathlib.Path or py._path.local.LocalPath),

file-like object, pandas ExcelFile, or xlrd workbook.

The string could be a URL. Valid URL schemes include http, ftp, s3,

and file. For file URLs, a host is expected. For instance, a local

file could be file://localhost/path/to/workbook.xlsx

sheetname : 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

header : int, list of ints, default 0

Row (0-indexed) to use for the column labels of the parsed

DataFrame. If a list of integers is passed those row positions will

be combined into a ``MultiIndex``

skiprows : list-like

Rows to skip at the beginning (0-indexed)

skip_footer : int, default 0

Rows at the end to skip (0-indexed)

index_col : int, list of ints, default None

Column (0-indexed) to use as the row labels of the DataFrame.

Pass None if there is no such column. If a list is passed,

those columns will be combined into a ``MultiIndex``

names : array-like, default None

List of column names to use. If file contains no header row,

then you should explicitly pass header=None

converters : dict, default None

Dict of functions for converting values in certain columns. Keys can

either be integers or column labels, values are functions that take one

input argument, the Excel cell content, and return the transformed

content.

true_values : list, default None

Values to consider as True

.. versionadded:: 0.19.0

false_values : list, default None

Values to consider as False

.. versionadded:: 0.19.0

parse_cols : int or list, default None

* If None then parse all columns,

* If int then indicates last column to be parsed

* If list of ints then indicates list of column numbers to be parsed

* If string then indicates comma separated list of column names and

column ranges (e.g. "A:E" or "A,C,E:F")

squeeze : boolean, default False

If the parsed data only contains one column then return a Series

na_values : scalar, str, list-like, or dict, default None

Additional strings to recognize as NA/NaN. If dict passed, specific

per-column NA values. By default the following values are interpreted

as NaN: '', '#N/A', '#N/A N/A', '#NA', '-1.#IND', '-1.#QNAN', '-NaN', '-nan',

'1.#IND', '1.#QNAN', 'N/A', 'NA', 'NULL', 'NaN', 'nan'.

thousands : str, default None

Thousands separator for parsing string columns to numeric. Note that

this parameter is only necessary for columns stored as TEXT in Excel,

any numeric columns will automatically be parsed, regardless of display

format.

keep_default_na : bool, default True

If na_values are specified and keep_default_na is False the default NaN

values are overridden, otherwise they're appended to.

verbose : boolean, default False

Indicate number of NA values placed in non-numeric columns

engine: string, default None

If io is not a buffer or path, this must be set to identify io.

Acceptable values are None or xlrd

convert_float : boolean, default True

convert integral floats to int (i.e., 1.0 --> 1). If False, all numeric

data will be read in as floats: Excel stores all numbers as floats

internally

has_index_names : boolean, default None

DEPRECATED: for version 0.17+ index names will be automatically

inferred based on index_col. To read Excel output from 0.16.2 and

prior that had saved index names, use True.

Returns

-------

parsed : DataFrame or Dict of DataFrames

DataFrame from the passed in Excel file. See notes in sheetname

argument for more information on when a Dict of Dataframes is returned.

總結(jié)

以上是生活随笔為你收集整理的python读取xlsx文件pandas_python-如何使用iPython中的pandas库读取.xlsx文件？的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。