From 96bb1f6bbfae8aff0130f3d2b82ac31c01ffe4b5 Mon Sep 17 00:00:00 2001 From: Barbier--Darnal Joseph Date: Sun, 2 Jun 2024 22:28:16 +0200 Subject: [PATCH] update readme --- README.md | 12 ++++- how_to_use.ipynb | 110 ++++++++++++++++++++++++--------------------- images/heatmap.png | Bin 41419 -> 41365 bytes images/random.png | Bin 98692 -> 14658 bytes 4 files changed, 69 insertions(+), 53 deletions(-) diff --git a/README.md b/README.md index 8af018e..7e8effc 100644 --- a/README.md +++ b/README.md @@ -94,10 +94,18 @@ print(purr.source('bilbao')) - Get hex values of a color map: ```python -print(purr.hex('42e4b0')) +print(purr.hex('pupitar')) ``` -`['#000000', '#14213D', '#FCA311', '#E5E5E5', '#FFFFFF']` +`['#7098C0FF', + '#88C0E8FF', + '#285880FF', + '#B8E0F8FF', + '#F8F8F8FF', + '#404060FF', + '#A8A8A8FF', + '#C8C8D0FF', + '#B04000FF']`
diff --git a/how_to_use.ipynb b/how_to_use.ipynb index 02948d2..500f8c2 100644 --- a/how_to_use.ipynb +++ b/how_to_use.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 7, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -12,10 +12,10 @@ "
dark
\"dark
under
bad
over
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -29,39 +29,7 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "from purrpalette import PurrPalette\n", - "import numpy as np\n", - "\n", - "data = np.random.rand(10, 12)\n", - "\n", - "purr = PurrPalette()\n", - "cmap = purr.load_cmap('Anemone')\n", - "\n", - "sns.heatmap(data, cmap=cmap)\n", - "plt.savefig('images/heatmap.png', dpi=300, bbox_inches='tight')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -71,10 +39,10 @@ "
Darjeeling2
\"Darjeeling2
under
bad
over
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 2, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -89,20 +57,20 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/html": [ - "
Anemone
\"Anemone
under
bad
over
" + "
miltank
\"miltank
under
bad
over
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 70, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -117,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -126,7 +94,7 @@ "'The R package: {khroma}'" ] }, - "execution_count": 35, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -140,16 +108,24 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['#000000', '#14213D', '#FCA311', '#E5E5E5', '#FFFFFF']" + "['#7098C0FF',\n", + " '#88C0E8FF',\n", + " '#285880FF',\n", + " '#B8E0F8FF',\n", + " '#F8F8F8FF',\n", + " '#404060FF',\n", + " '#A8A8A8FF',\n", + " '#C8C8D0FF',\n", + " '#B04000FF']" ] }, - "execution_count": 39, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -158,12 +134,12 @@ "from purrpalette import PurrPalette\n", "\n", "purr = PurrPalette()\n", - "purr.hex('42e4b0')" + "purr.hex('pupitar')" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -178,7 +154,7 @@ " (219, 197, 160)]" ] }, - "execution_count": 1, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -189,6 +165,38 @@ "purr = PurrPalette()\n", "purr.rgb('AirNomads')" ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from purrpalette import PurrPalette\n", + "import numpy as np\n", + "\n", + "data = np.random.rand(10, 12)\n", + "\n", + "purr = PurrPalette()\n", + "cmap = purr.load_cmap('Anemone')\n", + "\n", + "sns.heatmap(data, cmap=cmap)\n", + "plt.savefig('images/heatmap.png', dpi=300, bbox_inches='tight')\n", + "plt.show()" + ] } ], "metadata": { diff --git a/images/heatmap.png b/images/heatmap.png index 8df74644924b48b4a8336b4d2e82b00501d96910..45e0a665f77fc22accea92363b460d91278af099 100644 GIT binary patch literal 41365 zcmeFa2UwQpwk=AQQDYAZq99-}A}WHYfKn|Wu^}o=se+113%!HE80pv>CI_oY9~z)$2)iY&u#TdWl|tq+->u(msDd7N$EQR`n#%&kpM87#Lw zZfSMO+-#%B7LoPB%THQc|7s;ADr)-e1tR8_MxvX(|0NzDGV9l04qLIYiL9XizO%nC zZ_CDZ_iwutwyD|&wpTj@7Tcr^b`NZOcXZ~`ozstB=6D_U`z?*v)8`#}wJvkrp+)8^ zbz?W|NW1D|{NS+-=Z8(Z(uU{ki&1#XE54UQd-uC5iVHKp`~DdJwce2(n=Q(YohbNq 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