当我用下面的代码在一个大的数据帧上删除重复的时间戳时,我得到了一个MemoryError。
import dask.dataframe as dd
path = f's3://{container_name}/*'
ddf = dd.read_parquet(path, storage_options=opts, engine='fastparquet')
ddf = ddf.reset_index().drop_duplicates(subset='timestamp_utc').set_index('timestamp_utc')
...分析显示,在包含大约4000万行数据的265MB gzipped镶木地板文件数据集上,它使用了大约14 of的RAM。
有没有其他方法可以在不使用这么多内存的情况下删除数据上的重复索引?
下面的回溯
Traceback (most recent call last):
File "/anaconda/envs/surb/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/anaconda/envs/surb/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/chengkai/surbana_lift/src/consolidate_data.py", line 62, in <module>
consolidate_data()
File "/home/chengkai/surbana_lift/src/consolidate_data.py", line 37, in consolidate_data
ddf = ddf.reset_index().drop_duplicates(subset='timestamp_utc').set_index('timestamp_utc')
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/dataframe/core.py", line 2524, in set_index
divisions=divisions, **kwargs)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/dataframe/shuffle.py", line 64, in set_index
divisions, sizes, mins, maxes = base.compute(divisions, sizes, mins, maxes)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/base.py", line 407, in compute
results = get(dsk, keys, **kwargs)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/threaded.py", line 75, in get
pack_exception=pack_exception, **kwargs)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 521, in get_async
raise_exception(exc, tb)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/compatibility.py", line 67, in reraise
raise exc
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 290, in execute_task
result = _execute_task(task, data)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 270, in _execute_task
args2 = [_execute_task(a, cache) for a in args]
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 270, in <listcomp>
args2 = [_execute_task(a, cache) for a in args]
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 267, in _execute_task
return [_execute_task(a, cache) for a in arg]
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 267, in <listcomp>
return [_execute_task(a, cache) for a in arg]
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/local.py", line 271, in _execute_task
return func(*args2)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/dataframe/core.py", line 69, in _concat
return args[0] if not args2 else methods.concat(args2, uniform=True)
File "/anaconda/envs/surb/lib/python3.6/site-packages/dask/dataframe/methods.py", line 329, in concat
out = pd.concat(dfs3, join=join)
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 226, in concat
return op.get_result()
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 423, in get_result
copy=self.copy)
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/internals.py", line 5418, in concatenate_block_manage
rs
[ju.block for ju in join_units], placement=placement)
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/internals.py", line 2984, in concat_same_type
axis=self.ndim - 1)
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/dtypes/concat.py", line 461, in _concat_datetime
return _concat_datetimetz(to_concat)
File "/anaconda/envs/surb/lib/python3.6/site-packages/pandas/core/dtypes/concat.py", line 506, in _concat_datetimetz
new_values = np.concatenate([x.asi8 for x in to_concat])
MemoryErrorhttps://stackoverflow.com/questions/51301034
复制相似问题