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Python数据分析基础
book

Python数据分析基础

by Clinton W. Brownley
August 2017
Intermediate to advanced
274 pages
7h 44m
Chinese
Posts & Telecom Press
Content preview from Python数据分析基础
Excel
文件
113
import
pandas
as
pd
import
glob
import
os
import
sys
input_path = sys.argv[1]
output_file = sys.argv[2]
all_workbooks = glob.glob(os.path.join(input_path,'*.xls*'))
data_frames = []
for
workbook
in
all_workbooks:
all_worksheets = pd.read_excel(workbook, sheetname=None, index_col=None)
for
worksheet_name, data
in
all_worksheets.items():
data_frames.append(data)
all_data_concatenated = pd.concat(data_frames, axis=0, ignore_index=True)
writer = pd.ExcelWriter(output_file)
all_data_concatenated.to_excel(writer, sheet_name='all_data_all_workbooks',\
index=False)
writer.save()
要运行这个脚本,在命令行中输入以下命令,然后按回车键:
python pandas_concat_data_from_multiple_workbooks.py ...
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Publisher Resources

ISBN: 9787115463357