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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
78
2
框中,将所有数据框追加到一个数据框列表,然后使用
concat
函数将所有数据框连接成一
个数据框。
concat
函数可以使用
axis
参数来设置连接数据框的方式,
axis=0
表示从头到
尾垂直堆叠,
axis=1
表示并排地平行堆叠。
要使用
pandas
将多个输入文件中的数据垂直连接成一个输出文件,在文本编辑器中输入下
列代码,然后将文件保存为
pandas_concat_rows_from_multiple_files.py
#!/usr/bin/env python3
import
pandas
as
pd
import
glob
import
os
import
sys
input_path = sys.argv[1]
output_file = sys.argv[2]
all_files = glob.glob(os.path.join(input_path,'sales_*'))
all_data_frames = []
for
file
in
all_files:
data_frame = pd.read_csv(file, index_col=None)
all_data_frames.append(data_frame)
data_frame_concat = pd.concat(all_data_frames, axis=0, ignore_index=True)
data_frame_concat.to_csv(output_file, index = False) ...
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Publisher Resources

ISBN: 9787115463357