From 8d3729b7786f84152edeee0b30c9cff7a4188ed7 Mon Sep 17 00:00:00 2001 From: Christoph Giess Date: Tue, 11 Apr 2023 13:49:33 +0200 Subject: [PATCH] Anpassung an aktuelles Jupyter --- jupyter_book/04_pandas.ipynb | 27 ++++----------------------- jupyter_book/05_pandas_visu.ipynb | 2 +- jupyter_book/Makefile | 4 +++- jupyter_book/_config.yml | 7 +++++-- jupyter_book/intro.md | 2 +- jupyter_book/upload_file.png | Bin 18945 -> 77582 bytes python_data_science.pdf | Bin 309477 -> 510379 bytes 7 files changed, 14 insertions(+), 28 deletions(-) diff --git a/jupyter_book/04_pandas.ipynb b/jupyter_book/04_pandas.ipynb index 523c4a9..6ec9b5d 100644 --- a/jupyter_book/04_pandas.ipynb +++ b/jupyter_book/04_pandas.ipynb @@ -40,28 +40,9 @@ "## Hinweis\n", "\n", "Bei den folgenden Beispielen wird die Datei `car.csv` benötigt.\n", - "Diese findet sich [hier](https://gist.githubusercontent.com/cgiess/58f995bf88cd0e2269b634c7970eb479/raw/2de29b036ead1eabc402301e934b82e8f674aaf4/car.csv). Diese Datei muss auf den Jupyter-Rechner liegen. In der Regel kann man dies mittels `Upload Files` erreichen.\n", + "Diese findet sich [in Moodle](https://moodle.hs-mannheim.de/course/view.php?id=4533). Diese Datei muss auf den Jupyter-Rechner liegen. Dazu muss die Datei mittels `Upload Files` hochgeladen werden.\n", "\n", - "![upload_file.png](upload_file.png)\n", - "\n", - "\n", - "Das `Upload Files` funktioniert aber bei https://jupyter.org/try-jupyter/lab/ nicht. Hier muss die Datei wie folgt bereitsgestellt werden (Stand Mai 2022):\n", - "\n", - "\n", - "```\n", - "from js import fetch\n", - "res = await fetch('https://gist.githubusercontent.com/cgiess/58f995bf88cd0e2269b634c7970eb479/raw/2de29b036ead1eabc402301e934b82e8f674aaf4/car.csv')\n", - "text = await res.text()\n", - "with open('car.csv', 'w') as f:\n", - " f.write(text)\n", - "\n", - "import os\n", - "os.listdir()\n", - "```\n", - "\n", - "Als Ergebnis sollte eine Liste mit Dateienamen angezeigt werden in der `car.csv` enthalten ist, z.B.:\n", - "\n", - "`['.matplotlib', '.ipython', 'car.csv']`" + "![upload_file.png](upload_file.png)\n" ] }, { @@ -235,7 +216,7 @@ } ], "source": [ - "d = pandas.read_csv(\"file:car.csv\", sep=\"\\t\")\n", + "d = pandas.read_csv(\"car.csv\", sep=\"\\t\")\n", "d" ] }, @@ -254,7 +235,7 @@ "metadata": {}, "outputs": [], "source": [ - "d = pandas.read_csv('file:car.csv', sep='\\t', parse_dates=['Datum'])" + "d = pandas.read_csv('car.csv', sep='\\t', parse_dates=['Datum'])" ] }, { diff --git a/jupyter_book/05_pandas_visu.ipynb b/jupyter_book/05_pandas_visu.ipynb index aa610aa..995065d 100644 --- a/jupyter_book/05_pandas_visu.ipynb +++ b/jupyter_book/05_pandas_visu.ipynb @@ -26,7 +26,7 @@ "outputs": [], "source": [ "import pandas\n", - "d = pandas.read_csv('file:car.csv', sep='\\t', parse_dates=['Datum'])\n", + "d = pandas.read_csv('car.csv', sep='\\t', parse_dates=['Datum'])\n", "fuel_only = d[d[\"Typ\"] == \"Benzin\"]" ] }, diff --git a/jupyter_book/Makefile b/jupyter_book/Makefile index 2674dfc..f27ae7b 100644 --- a/jupyter_book/Makefile +++ b/jupyter_book/Makefile @@ -9,6 +9,8 @@ preprocess: html: preprocess jupyter-book build . pdf: preprocess - jupyter-book build --builder pdflatex . + jupyter-book build --builder latex . + cd _build/latex && sed -i -e 's/letterpaper/a4paper/' -e 's/\(Dr\. Christoph G\)/\\hspace{8.2em}\1/' python_data_science.tex && make && cd ../.. clean: rm -rf _build + diff --git a/jupyter_book/_config.yml b/jupyter_book/_config.yml index 8b94ade..cdc16a3 100644 --- a/jupyter_book/_config.yml +++ b/jupyter_book/_config.yml @@ -3,7 +3,7 @@ title: Data Science mit Python author: MARS – Center for Entrepreneurship email: c.giess@hs-mannheim.de -copyright: "2022" +copyright: "2023" logo: logo_mars.png only_build_toc_files: true @@ -14,9 +14,12 @@ execute: latex: latex_documents: targetname: python_data_science.tex + author: Dr. Christoph Giess \\ MARS – Center for Entrepreneurship + latex_show_urls: inline + latex_show_pagerefs: true sphinx: extra_extensions: - sphinx_jupyterbook_latex config: - language: German + language: de diff --git a/jupyter_book/intro.md b/jupyter_book/intro.md index 747b1a8..19cf5ea 100644 --- a/jupyter_book/intro.md +++ b/jupyter_book/intro.md @@ -16,7 +16,7 @@ und jetzt lernen möchten, wie man Daten mit Hilfe von Python auswerten kann. * Jupyter * https://jupyter.org/try-jupyter/lab/ - * Notebook Pyolite + * Notebook - Python (Pyodide) * Python im Webbrowser * Input-Zeile bedienen * Python Programm (Code) und Dokumentation ([Markdown](https://de.wikipedia.org/wiki/Markdown)) diff --git a/jupyter_book/upload_file.png b/jupyter_book/upload_file.png index 20584648c7c0968a66c5671605cf3fb324f32c95..568b2efe20f82b31512daf8551c2da31b554c8a5 100644 GIT binary patch literal 77582 zcmeFYWmjCm5;jT_0txOe!QI`1L$KiP?ydt&65QPxT!Xs>CU|g{VQ{y>T`%W7=e?ir z54dZuz1QmM-qqbzUES5yPe*)LmPJJ(LV|;XLzS14QiFs0-~tEtF8UL~8zqb8YxY~h z$yQSGyREr792|XuXF{ifget)RFiHz9d&vZ%-whrzk zrZGH^bpfX;6a~ixKZlZhztcMyLIBf`^WI6;VMdMrG`zmD0=iz{+Y1za5vDz6+8)un z6h5Rq@o;q&Kg=7YP%H@kv`HhM!E=%PNsi^46)a%Ob4~bYb85Rry&FR|HQVR8AhpT*z&BZ1E>woC!5fW;CQp^s2d4*%7P#KJeKie14{bPQ-RUHi}H4+JUC zIdkNpzSh%Ij02W$3ix6!r=|o4=SK?%_ahh%?%|E}V;>IAlN}E3&;$-nFdYsK-zB?U zRroCf!AwC`3hwnkPhMwf(i`Qoi=3`I92_gvf8KXK#bRD>L_`mHC27Pxcw}Uj_jHyX zzHc1iwKvw=Z@Mf)$Byu%KqLF*$ zdcBtVu7rtLr}jFbg%toGV|d3E&J6#8<-XvmMg5!H*yy>Tpu{5jnD;wAQZuWY@IQwS}1ErVaUjf+Vhk^?ok4fLH#Xlw%_#iGR*;!)hlC|1Tv)5_$dbddW1m z<9`zWli)AvO@9iodAB?;Fksr*^gp^k)2Sg`=@Dm$+W&qv8qELbVs3687I5-EmAY2i zd}HujMEq~AkhZ@t>@fJ9_|+F+7G1P;#Akx_W5hM#^%+*O!9~&N-zI$FZO>K{jpvJ!znW) zM}9%^dv#8?X+NJ;z%eCIE7xcRzKS9vBim#S^!34qNc{8=R1zjj`|>}LoNIMzzcXNS zLC%NL+AU0Zkg_CvcpUo5j3SviMhgG{92^{KySmVRI6{wMFjdyHI%b9U{Qr}#z9;jC zR;Lz)21wtfa1VQ5v*Yx^RreA%Zpb>I%qgpE<*P5MMrp`lbN6YUAgV?OT6;teYhJ&) z$uXQF zDm>MqeXkCThccNE6F`Q^wb!XVjI4XWU+f1o?92P>MRN5Yj`^jW1UvEt!-DfKv|8qA z8g}6sW|TM(NW6B-!Gb)-o~N1*xLxq^ z4vY|c)$gg2)+k-g50WsV_? 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