Question

csv文件自己放置在一个命名文件夹中。将csv文件中的所有数据读取到单个数据帧中将很有用。到目前为止，这是一些代码：

#create a variable and look through contents of the directory 
files=[f for f in os.listdir("./your_directory") if f.endswith('.csv')]

#Initalize an empty data frame
all_data = pd.DataFrame()

#iterate through files and their contents, then concatenate their data into the data frame initialized above
for file in files:
   df = pd.read_csv('./your_directory' + file)
   all_data = pd.concat([all_data, df])

#Call the new data frame and verify that contents were transferred
all_data.head()

这会导致错误：

SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 4-5: truncated \UXXXXXXXX escape

如果有人让它起作用，您可以举一个有效的例子吗？

Answer 1

import glob
import pandas as pd

df = pd.concat(map(pd.read_csv, glob.glob('./your_directory/*.csv')))

Answer 2

这是您使用所有代码的方式：

#create a variable and look through contents of the directory 
files=[f for f in os.listdir("./your_directory") if f.endswith('.csv')]

#Initalize an empty data frame
all_data = pd.DataFrame()

#iterate through files and their contents, then concatenate their data into the data frame initialized above
for file in files:
   df = pd.concat(map(pd.read_csv, glob.glob('./your_directory/*.csv)))
   all_data = pd.concat([all_data, df])

#Call the new data frame and verify that contents were transferred
all_data.head()

如何从指定目录中的多个csv文件创建单个数据框

2 个答案: