Pyrhon-将多个csv文件导入到pandas中并串联到一个DataFrame中
我想将目录中的多个csv
文件读入pandas
,并将它们连接成一个大的DataFrame
。我还无法弄清楚。这是我到目前为止的内容:
import glob
import pandas as pd
# get data file names
path =r'C:\DRO\DCL_rawdata_files'
filenames = glob.glob(path + "/*.csv")
dfs = []
for filename in filenames:
dfs.append(pd.read_csv(filename))
# Concatenate all data into one DataFrame
big_frame = pd.concat(dfs, ignore_index=True)
我想我在for循环中需要一些帮助吗???
-
如果所有csv文件中的列均相同,则可以尝试以下代码。我已添加,header=0以便在读取csv第一行后可以将其分配为列名。
import pandas as pd
import globpath = r’C:\DRO\DCL_rawdata_files’ # use your path
all_files = glob.glob(path + “/*.csv”)li = []
for filename in all_files:
df = pd.read_csv(filename, index_col=None, header=0)
li.append(df)frame = pd.concat(li, axis=0, ignore_index=True)