pandas中DataFrame 数据合并
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DataFrame拼接的一种方式:
- 使用列表,
- 列表中的DataFrame合并
lists = [735,3665,4015,4043,4048,4126,4746,4908,4936,5091,5121,5261,6426,6453,6995,
7162,7859,7879,7910,8215,8219,8378,8405,8434,8455]
frames = []
for list in lists:
Location = '.../database/afdb/' #文件地址
CSV_FILE_PATH = Location+'/afdb-label-'+str(list) + '.csv' # csv文件
df = pd.read_csv(CSV_FILE_PATH)
print(df.head(5))
frames.append(df)
result = pd.concat(frames) #所有csv记录都会按照标签变为一个大的dataframe.
[参考](https://blog.csdn.net/qq_41853758/article/details/83280104)
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