将Dask标量转换为整数值(或将其保存到文本文件) [英] Converting Dask Scalar to integer value (or save it to text file)

问题描述

我使用dask计算

from dask import dataframe
all_data = dataframe.read_csv(path) 
total_sum = all_data.account_balance.sum()

csv文件具有名为account_balance的列.

The csv file has a column named account_balance.

total_sum是一个dd.Scalar对象，似乎很难将其更改为整数.如何获得它的整数版本?或将其保存在包含数字的.txt文件中也是可以的.

The total_sum is a dd.Scalar object, which seems to be difficult to change it to integer. How to get the integer version of it? or save it in a .txt file containing the number is also ok.

我也尝试过total_sum.compute().

谢谢.

推荐答案

.compute()确实为您带来了实数，如您在本示例中看到的:

.compute() does indeed bring you a real number, as you can see in this example:

In [18]: import dask.dataframe as dd

In [19]: d = dd.from_pandas(pd.DataFrame({'a': [3,3,3,3]}), npartitions=2)

In [20]: d.a.sum().compute()
Out[20]: 12

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