问题描述
我正在尝试使用 pandas read_sas() 函数.
I'm trying to use the pandas read_sas() function.
首先,我通过在 SAS 中运行此代码来创建一个 SAS 数据集:
First, I create a SAS dataset by running this code in SAS:
libname tmp 'c: emp'; data tmp.test; do i=1 to 100; x=rannor(0); output; end; run;
现在,在 IPython 中,我这样做:
Now, in IPython, I do this:
import numpy as np import pandas as pd %cd C: emp pd.read_sas('test.sas7bdat')
非常简单,似乎应该可以工作.但我只是得到这个错误:
Pretty straightforward and seems like it should work. But I just get this error:
TypeError: read() takes at most 1 argument (2 given)
我在这里缺少什么?我正在使用熊猫版本 0.18.0.
What am I missing here? I'm using pandas version 0.18.0.
推荐答案
根据下面链接的问题报告,此错误将在 18.1 中修复.
According issue report linked below, this bug will be fixed in 18.1.
https://github.com/pydata/pandas/issues/12647