小编Mik*_*asa的帖子

当我尝试编译它时

\documentclass{jprr}
\usepackage{url}
\usepackage{graphicx}
\usepackage[outdir=./]{epstopdf}
\begin{document}
\begin{figure}
\centering
\includegraphics{/home/name/taiwan.eps}
\end{figure}
\end{document}

我一直收到这个错误

! Package pdftex.def Error: File `./taiwan-eps-converted-to.pdf' not found.

See the pdftex.def package documentation for explanation.
Type  H <return>  for immediate help.
...                                              

我正在使用 Textworks，pdfLaTeX。

请帮忙。

我是打字稿新手。我有一张打字稿地图，如下所示：

const mapping = new Map<string, string>();
mapping.set('fruit', 'apple')
mapping.set('vegetable', 'onion')
...

我正在尝试将映射转换为类型 '{ [key: string]: string; }'

如何在打字稿中做到这一点？

我有以下 csv 文件（总行数20000）

ozone,paricullate_matter,carbon_monoxide,sulfure_dioxide,nitrogen_dioxide,longitude,latitude,timestamp,avg_measured_time,avg_speed,median_measured_time,timestamp:1,vehicle_count,lat1,long1,lat2,long2,distance_between_2_points,duration_of_measurement,ndt_in_kmh
99,99,98,116,118,10.09351660921,56.1671665604395,1407575099.99998,0,0,0,1407575099.99998,0,56.1089513576227,10.1823955595246,56.1048021343541,10.1988040846558,1124,65,62
99,99,98,116,118,10.09351660921,56.1671665604395,1407575099.99998,0,0,0,1407575099.99998,0,56.10986429895,10.1627288048935,56.1089513576227,10.1823955595246,1254,71,64
99,99,98,116,118,10.09351660921,56.1671665604395,1407575099.99998,0,0,0,1407575099.99998,0,56.1425188527673,10.1868802625656,56.1417522836526,10.1927236478157,521,62,30
99,99,98,116,118,10.09351660921,56.1671665604395,1407575099.99998,18,84,18,1407575099.99998,1,56.1395320665735,10.1772034087371,56.1384485157567,10.1791506011887,422,50,30

我想把它转换成像这样的字典

{'ozone': [99,99,99,99], 'paricullate_matter': [99,99,99,99],'carbon_monoxide': [98,98,98,98],etc....}

我试过的

import csv

reader = csv.DictReader(open('resulttable.csv'))

output = open("finalprojdata.py","w")

result = {}
for row in reader:
    for column, value in row.iteritems():
        result.setdefault(column, []).append(float(value))
output.write(str(result))

我得到的输出只包含几个字典。喜欢从

{'vehicle_count': [0,0,0,1], 'lat1': etc}

整个 csv 文件没有被转换为字典。