From 100c4eef5ca9d7dc001be8b436697e2f4963e622 Mon Sep 17 00:00:00 2001 From: cbornes Date: Tue, 29 Oct 2024 16:10:07 +0100 Subject: [PATCH] Updated tutorial --- docs/user_guide/easy_plots.ipynb | 40 +++++++++++++++++++++++++++++--- 1 file changed, 37 insertions(+), 3 deletions(-) diff --git a/docs/user_guide/easy_plots.ipynb b/docs/user_guide/easy_plots.ipynb index c221e57..eca9eab 100644 --- a/docs/user_guide/easy_plots.ipynb +++ b/docs/user_guide/easy_plots.ipynb @@ -43,6 +43,40 @@ "bruker1d(['../../data/1D/8/pdata/1'], xlim=(250, -20))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`SpinPlots` uses Matplotlib's standard style by default. If you want to customize the appearance of your spectra, you can use the option `return_fig=True`. This allows you to return the figure object and modify it as needed before displaying or saving it." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = bruker1d(['../../data/1D/8/pdata/1'], return_fig=True)\n", + "\n", + "ax.set_title('Sample')\n", + "ax.set_xlim(200, 90)\n", + "ax.lines[0].set_color('red')\n", + "ax.lines[0].set_linewidth(2)\n", + "ax.lines[0].set_linestyle('--')\n", + "fig.savefig('../../data/1D/modified.png')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -61,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -97,7 +131,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -216,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ {