{
"cells": [
{
"cell_type": "markdown",
"id": "a713b974-9e55-4dcd-a88d-fae2186478ea",
"metadata": {},
"source": [
"# Axis Tick Direction\n",
"\n",
"If the `axis_ticks_length`, `axis_ticks_length_x`, or `axis_ticks_length_y` parameter in `theme()` is set to a negative value, the ticks are drawn inward, pointing toward the plot area. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "59c8a897-7b8a-4b28-87f1-87b2caab3f1c",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from datetime import datetime\n",
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "10dc1155-2e50-4796-a50b-8d07de586544",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3d7a87f7-e4a1-4d16-a34e-919f2b588318",
"metadata": {},
"outputs": [],
"source": [
"economics_url = 'https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/economics.csv'\n",
"economics = pd.read_csv(economics_url)\n",
"economics['date'] = pd.to_datetime(economics['date'])\n",
"start = datetime(2000, 1, 1)\n",
"economics = economics.loc[economics['date'] >= start]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "960b8b65-7e4e-44cf-93de-9dd0f8d5af44",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Base plot\n",
"\n",
"p_dt = ggplot(economics, aes('date', 'unemploy')) + \\\n",
" geom_line() + \\\n",
" theme_classic() + \\\n",
" theme(panel_inset=[0,10,0,0]) + \\\n",
" ggsize(600, 300)\n",
"p_dt"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b2e5e3c6-dc65-45c3-be40-29f160b26da0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# To make the ticks more visible while keeping a compact layout, you can direct them inward.\n",
"\n",
"p_dt + theme(axis_ticks_length=-8)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d720d83c-4b29-4587-8358-56fe691a2fec",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# You can control the tick length separately for each axis.\n",
"\n",
"p_dt + theme(axis_ticks_length_x=-6, axis_ticks_length_y=4)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.23"
}
},
"nbformat": 4,
"nbformat_minor": 5
}