numpy 데이터를 csv로 pgfplots로 내보낼 때 실수

Question

수치 시뮬레이션을 통해 데이터를 플롯해야 합니다. 나는 python및 을 사용하여 시뮬레이션을 수행합니다 numpy. 하지만 이제 LaTeX 파일에 결과를 표시하고 싶습니다. 시뮬레이션을 다시 실행하지 않고도 레이아웃을 수정할 수 있기를 원하므로 결과를 파일로 내보낸 csv다음 이 파일을 읽는 것이 pgfplots좋은 해결책이라고 생각합니다. 불행히도 이 작업을 수행하면 matplotlib예를 들어 플롯할 때와는 다른 결과를 얻게 됩니다.

내가 얻은 것은 다음과 같습니다 matplotlib.

그리고 내가 얻은 것은 다음과 같습니다 pgfplots.

결과 pgfplots는 다음 LaTeX 코드를 사용하여 생성되었습니다.

\documentclass[12pt]{standalone} 
\usepackage[T1]{fontenc}
\usepackage{tikz}                       % 
\usepackage{pgfplots}                   %
    \pgfplotsset{compat=newest}         %


\begin{document}
\begin{tikzpicture} 
    \begin{axis}[colormap/viridis,
                enlarge y limits=false,
                axis equal image,
                axis on top,
                colorbar,
            ]           

        \addplot[ 
                matrix plot*, point meta=explicit, mesh/cols=10,
            ]
            table[x=y, y=x, 
                meta=T, ignore chars={\#}, col sep=comma,
                ] 
            {hydrostat.csv};

    \end{axis}  
\end{tikzpicture}
\end{document}

그리고 파일은 hydrostat.csv다음 링크를 통해 얻을 수 있습니다. https://transfernow.net/103fg0a2hl44

numpy이 파일은 as 명령 에서 생성되었습니다 np(여기서 T1는 출력 필드 X이고 Y는 좌표이며 ly는 ly메쉬의 치수입니다).

np.savetxt('./hydrostat.csv', np.column_stack(( np.reshape(X, (lx*ly,1)), np.reshape(Y, (lx*ly,1)), np.reshape(T1, (lx*ly,1))  )), header='x, y, T', comments='# ',delimiter=',', newline='\n' )

큰 문제는 아닌 것 같은데, 단지 의 구성이 잘못된 것 뿐인데 pgfplots찾을 수 없습니다.

행과 열의 개수가 누락된 것 같아서 mesh/cols값을 변경해 보았으나 결과가 최악이었습니다. 또한 형식 matplotlib으로 내보내기와 같은 작업을 시도 pgf하지만 png이미지가 생성되므로 시뮬레이션을 다시 실행하지 않고는 레이아웃을 변경할 수 없습니다. 에서도 같은 일이 일어나고 있습니다 matplotlib2tikz.

내 실수를 찾는 데 도움을 주셔서 미리 감사드립니다.

Answer 1

짧은 버전

marmot의 의견 덕분에 문제의 일부가 파일의 원본 데이터에서 비롯된 것임을 확인할 수 있었습니다 csv.

numpy/python데이터를 내보내는 명령을 사용하여 문제를 해결할 수 있습니다 T1.

np.savetxt('./hydrostat.csv', np.column_stack(( np.reshape(X, (lx*ly,1)), np.reshape(Y, (lx*ly,1)), np.reshape(T1.T, (lx*ly,1))  )), header='x, y, T', comments='# ',delimiter=',', newline='\n' )

로 바뀐 데이터가 있는지 확인하세요 T1.T.

마지막 요점은 를 사용하여 y dir=reverse원하는 출력을 얻는 것 입니다 pgfplots.

긴 버전

코드 를 사용하여 numpy/python데이터를 내보내는 경우(전치 없이):

np.savetxt('./hydrostat.csv', np.column_stack(( np.reshape(X, (lx*ly,1)), np.reshape(Y, (lx*ly,1)),  np.reshape(T1, (lx*ly,1))  )), header='x, y, T', comments='# ',delimiter=',', newline='\n' )

hydrostat.csv질문 링크나 Ulrich의 답변에 다음 파일이 있습니다 .

그런 다음 다음 LaTeX 코드를 사용합니다.

\documentclass[12pt]{standalone} 
\usepackage[T1]{fontenc}
\usepackage{tikz}                       % 
\usepackage{pgfplots}                   %
    \pgfplotsset{compat=newest}         %


\begin{document}
\begin{tikzpicture} 
    \begin{axis}[colormap/viridis,
                enlarge y limits=false,
                axis equal image,
                axis on top,
                colorbar,
                y dir=reverse,
            ]           

        \addplot[ 
                matrix plot*, point meta=explicit, mesh/cols=10,
            ]
            table[x expr=\thisrow{x}, y expr=\thisrow{y}, 
                            meta=T, ignore chars={\#}, col sep=comma,
                 ] 
            {hydrostat.csv};

    \end{axis}  
\end{tikzpicture}
\end{document}

결과 사진을 얻습니다.

문제를 강조하기 위해 빨간색 원을 추가했습니다. 종횡비가 원하는 것과 반대이더라도(Ulrich의 솔루션을 사용하여 해결할 수 있음) 이 영역의 데이터는 그림과 다릅니다 matplotlib.

numpy/python그런 다음 (전치와 함께) 코드를 사용하면 다음과 같습니다 .

np.savetxt('./hydrostat.csv', np.column_stack(( np.reshape(X, (lx*ly,1)), np.reshape(Y, (lx*ly,1)),  np.reshape(T1.T, (lx*ly,1))  )), header='x, y, T', comments='# ',delimiter=',', newline='\n' )

나는 파일을 얻을 것이다 hydrostat.csv:

# x, y, T
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3.000000000000000000e+00,1.900000000000000000e+01,6.664214191117953101e-01
4.000000000000000000e+00,1.900000000000000000e+01,6.665131018225954884e-01
5.000000000000000000e+00,1.900000000000000000e+01,6.666140120616598219e-01
6.000000000000000000e+00,1.900000000000000000e+01,6.667192060591137226e-01
7.000000000000000000e+00,1.900000000000000000e+01,6.668201621659067824e-01
8.000000000000000000e+00,1.900000000000000000e+01,6.669119206097181562e-01
9.000000000000000000e+00,1.900000000000000000e+01,6.669770941226791372e-01
1.000000000000000000e+01,1.900000000000000000e+01,6.668350157237451503e-01
1.000000000000000000e+00,2.000000000000000000e+01,6.665274928193409831e-01
2.000000000000000000e+00,2.000000000000000000e+01,6.663971023015621276e-01
3.000000000000000000e+00,2.000000000000000000e+01,6.664437620670989881e-01
4.000000000000000000e+00,2.000000000000000000e+01,6.665301707977003831e-01
5.000000000000000000e+00,2.000000000000000000e+01,6.666191243753081253e-01
6.000000000000000000e+00,2.000000000000000000e+01,6.667140894072093316e-01
7.000000000000000000e+00,2.000000000000000000e+01,6.668030901761193840e-01
8.000000000000000000e+00,2.000000000000000000e+01,6.668895764592674968e-01
9.000000000000000000e+00,2.000000000000000000e+01,6.669363119300038001e-01
1.000000000000000000e+01,2.000000000000000000e+01,6.668059134476987948e-01

그런 다음 LaTeX 코드를 사용하여 다음을 수행합니다.

\documentclass[12pt]{standalone} 
\usepackage[T1]{fontenc}
\usepackage{tikz}                       % 
\usepackage{pgfplots}                   %
    \pgfplotsset{compat=newest}         %


\begin{document}
\begin{tikzpicture} 
    \begin{axis}[colormap/viridis,
                enlarge y limits=false,
                axis equal image,
                axis on top,
                colorbar,
                y dir=reverse,
            ]           

        \addplot[ 
                matrix plot*, point meta=explicit, mesh/cols=10,
            ]
            table[x expr=\thisrow{y}, y expr=\thisrow{x}, 
                            meta=T, ignore chars={\#}, col sep=comma,
                 ] 
            {hydrostat.csv};

    \end{axis}  
\end{tikzpicture}
\end{document}

마침내 원하는 결과를 얻었습니다.