data = pd.read_excel(file) #reading file print(data) 代码解释: 首先引入pandas模块 初始化一个变量”file”用于存储Excel文件名,注意示例并没有给出确切的文件路径,只使用了文件名,那么系统会默认使用当前路径,也就是将”books.xls”放置于项目文件夹同”read_excel.py”位于同一目录即可 调
1. Pandas read_excel() Example importpandas excel_data_df# print whole sheet data Copy Output: EmpID EmpName EmpRole0 Copy The first parameter is the name of the excel file. The sheet_name parameter defines the sheet to be read from the excel file. When we print the DataFrame object, ...
The engine parameter in the read_excel function specifies the engine to use for reading the Excel file. The options are ‘xlrd’, ‘openpyxl’, ‘odf’, and ‘xlsb’. The ‘xlrd’ supports old-style Excel files (.xls), openpyxl supports newer Excel file formats (.xlsx), ‘odf’ support...
>支持的引擎：“xlrd”、“openpyxl”、“odf”、“pyxlsb”。发动机兼容性：“xlrd”支持旧式Excel文件...
io : str, bytes, ExcelFile, xlrd.Book, path object, or file-like object Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: ``file://localhost/path/to/tabl...
str, bytes, ExcelFile, xlrd.Book, path object, , or file-like object 任何有效的字符串路径。字符串可以是URL。有效的URL方案包括http、ftp、s3和file。对于文件url,需要一个主机。本地文件可以是:file://localhost/path/to/table.xlsx。如果您想传入一个path对象,pandas会接受任何类似os. path的东西。通过...
解决方案是以块的形式读取文件。该pd.read_excel函数没有像pd.read_sql这样的游标,所以我不得不手动实现这个逻辑。这是我做的: importosimportpandasaspd HERE = os.path.abspath(os.path.dirname(__file__)) DATA_DIR = os.path.abspath(os.path.join(HERE,'..','data'))defmake_df_from_excel(file...
('.xlsx') or file_name.endswith('.xls'): # 判断文件是否为Excel文件 file_path = os.path.join(folder_path, file_name) # 获取文件的完整路径 data = pd.read_excel(file_path) # 使用pandas的read_excel函数读取Excel文件 all_data = all_data.append(data, ignore_index=True) # 将读取的...
20. Optimized Excel File ReadingWrite a Pandas program to optimize the performance of reading a large Excel file into a DataFrame by specifying data types and using the 'usecols' parameter.Sample Solution :Python Code :# Import necessary libraries import pandas as pd # Specify the path to the...
import pandas as pd # read specified columns from an Excel file into a Pandas DataFrame df = pd.read_excel('car_excel.xlsx', usecols=["Car"]) print("Reading Specific Columns from an excel File:") print(df.head()) While executing the above code we get the following output −Reading...