我有两个没有标题行的数据框,它们都有相同的逗号分隔列。 我试图用
将它们读入一个数据帧dfoutputs = dd.read_csv(['outputsfile.csv', 'outputsfile2.csv'], names=colnames, header=None, dtype={'firstnr': 'Int64', 'secondnr': 'Int64', 'thirdnr': 'Int64', 'fourthnr': 'Int64'})
但是此数据框仅包含outputsfile.csv
行。
阅读和连接的类似问题:
colnames=['firstnr', 'secondnr', 'thirdnr', 'fourthnr']
dfoutputs = dd.read_csv('outputsfile.csv', names=colnames, header=None, dtype={'firstnr': 'Int64', 'secondnr': 'Int64', 'thirdnr': 'Int64', 'fourthnr': 'Int64'})
print(dfoutputs.head(10))
dfoutputs2 = dd.read_csv('outputsfile2.csv', names=colnames, header=None, dtype={'firstnr': 'Int64', 'secondnr': 'Int64', 'thirdnr': 'Int64', 'fourthnr': 'Int64'})
print(dfoutputs2.head(10))
dfnew = dd.concat([dfoutputs, dfoutputs2])
print(dfnew.head(10))
输出:
firstnr secondnr thirdnr fourthnr
0 0 0 0 5000000000
1 1 0 0 5000000000
2 2 0 0 5000000000
3 3 0 0 5000000000
4 4 0 0 5000000000
5 5 0 0 5000000000
firstnr secondnr thirdnr fourthnr
0 11 0 0 5000000000
1 12 0 0 5000000000
firstnr secondnr thirdnr fourthnr
0 0 0 0 5000000000
1 1 0 0 5000000000
2 2 0 0 5000000000
3 3 0 0 5000000000
4 4 0 0 5000000000
5 5 0 0 5000000000
如何将两个csv合并到相同的Dask数据帧?
答案 0 :(得分:0)
TennisTechBoy在评论中建议:
f=open("outputsfile.csv", "a")
f2=open("outputsfile2.csv", "r")
f2content = f2.readlines()
for i in range(len(f2content)):
f.write(f2content[i])
f.close()
f2.close()
从内存角度来看,可能需要在Dask中执行此操作。