pandas 阅读大量文档时出现“OSError：从文件初始化失败”
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"OSError: Initializing from file failed" when reading lots of docs
提问by TPike
I am reading in several years of data files from a directory then reducing the data to what I need and then putting it together in a single data frame, but I am getting an "OSError: Initializing from file failed", the key lines of my code are:
我正在从一个目录中读取几年的数据文件，然后将数据减少到我需要的数量，然后将它们放在一个数据框中，但是我收到了“OSError：从文件初始化失败”，我的关键行代码是：
data_list = []
count = 0
for file in glob.glob("mydir"):
# read in file and name
name = "events" + str(count)
name = pd.read_csv(file, sep = '\t' )
#code to reduce file
count += 1
data_list.append(name)
all_events = pd.concat(data_list)
回答by Grr
Usually when I use glob I have to do so like this:
通常当我使用 glob 时，我必须这样做：
for file in glob.glob('mydir/*'):
# do something
Otherwise I don't get the filenames that are in mydir. That may be part of your problem. Otherwise what seems odd is that you are initializing namewith name = "events" + str(count)then immediately overwriting it with a DataFrame. Not sure if that is the desired behavior as the initial name =would be frivolous.
否则我不会得到mydir. 这可能是您问题的一部分。否则，似乎什么奇怪的是，要初始化name与name = "events" + str(count)随后立即用数据帧覆盖它。不确定这是否是所需的行为，因为最初的行为name =很无聊。
