选项"--address-model = 32,64"是否可以构建32和64个库,还是必须进行两个单独的构建？
我有一个输入文件,其中每个值都存储为字符串.它位于一个csv文件中,每个条目都在双引号内.
示例文件:
"column1","column2", "column3", "column4", "column5", "column6"
"AM", "07", "1", "SD", "SD", "CR"
"AM", "08", "1,2,3", "PR,SD,SD", "PR,SD,SD", "PR,SD,SD"
"AM", "01", "2", "SD", "SD", "SD"
只有六列.我需要输入哪些选项来pandas read_csv才能正确读取？
我目前正在尝试:
import pandas as pd
df = pd.read_csv(file, quotechar='"')
但这给了我错误信息:
CParserError: Error tokenizing data. C error: Expected 6 fields in line 3, saw 14
这显然意味着它忽略了'''并将每个逗号解析为一个字段.但是,对于第3行,第3列到第6列应该是包含逗号的字符串.("1,2,3","PR,SD ,SD","PR,SD,SD","PR,SD,SD")
如何让pandas.read_csv正确解析？
谢谢.
我尝试了以下方法,但它对我不起作用:
a <- ggplot()
a <- a + geom_point(aes(x=seq(0,1,0.1), y=seq(0,1,0.1)))
a <- a + annotate("text", x=0.5, y=0.3, label="myplot")
a <- a + annotate("text", x=0.5,y=0.2,label=expression(%+-%))
我还尝试了以下内容,如何使用latex来注释()ggplot并没有运气:
a <- a + annotate("text", x=0.5, y=0.1, label="%+-%", parse=TRUE)
这也不起作用:
a <- a + annotate("text", x=0.5, y=0.1, label="\pm", parse=TRUE)
所以,我已经开始使用升压单元测试了.当我尝试构建一个创建类实例的简单测试时,我得到一个编译错误.没有该类的实例它工作正常.
编译错误消息是:
/src/test/WTFomgFail_test.cpp: In member function ‘void WTFomgFail::defaultConstructor::test_method()’:
/src/test/WTFomgFail_test.cpp:20: error: expected primary-expression before ‘obj’
/src/test/WTFomgFail_test.cpp:20: error: expected `;' before ‘obj’
#include "WTFomgFail.hpp"
#define BOOST_TEST_MODULE WTFomgFail
#define BOOST_TEST_MAIN
#define BOOST_TEST_DYN_LINK
#include <boost/test/unit_test.hpp>
BOOST_AUTO_TEST_SUITE(WTFomgFail)
BOOST_AUTO_TEST_CASE( defaultConstructor )
{
WTFomgFail obj = WTFomgFail();
BOOST_MESSAGE("wow, you did it");
}
BOOST_AUTO_TEST_SUITE_END()
#ifndef WTFOMGFAIL_HPP_
#define WTFOMGFAIL_HPP_
class WTFomgFail
{
public:
WTFomgFail();
~WTFomgFail();
};
#endif /* WTFOMGFAIL_HPP_ */
#include "WTFomgFail.hpp"
WTFomgFail::WTFomgFail()
{
}
WTFomgFail::~WTFomgFail()
{
}
如果我换成BOOST_AUTO_TEST_SUITE(WTFomgFail)其他东西,那么错误就会消失BOOST_AUTO_TEST_SUITE(OMGreally).
此外,我不使用时得到的错误#define BOOST_TEST_MODULE …