Python pandas 读取多个 csv 文件并转为 Z6A8064B5DF4794505500553C47DZC5

Question

I tried to read multiple.csv files that have the same format from different folders. It turns out to be a list using.append and I tried to turn it into dataframe using.concat. But it didn't let me to do so. I also tried.os to read the data. It wouldn't work. Any suggestions?

test = []
train = []
for f in testdata:
    test.append(pd.read_csv(f, skiprows = 5, sep = ',', names = 
         ['time','avg_rss12','var_rss12','avg_rss13','var_rss13','avg_rss23','var_rss23']))
for f in traindata:
    train.append(pd.read_csv(f, skiprows = 5, sep = ',', names = 
         ['time','avg_rss12','var_rss12','avg_rss13','var_rss13','avg_rss23','var_rss23']))

Answer 1

You mention attempting pandas concat , but don't specify how it failed. It is the way you would want to go. Using just your test loop from the question:

import pandas as pd


frames = []
for f in testdata:
    df = pd.read_csv(f, skiprows=5, sep=',', names=['time','avg_rss12','var_rss12','avg_rss13','var_rss13','avg_rss23','var_rss23'])
    frames.append(df)
combined = pd.concat(frames)

What gets passed into concat() needs to be a list of DataFrame instances, which it will combine into a single frame.