{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# INSTALL"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting roughviz\n",
" Downloading https://files.pythonhosted.org/packages/a8/47/88e35b87730dd9c7ebb6807b8acbede6b1183f4c95cd7fb3e4a37f91b20b/roughviz-4.6.0-py3-none-any.whl\n",
"Requirement already satisfied: Jinja2 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from roughviz) (2.10)\n",
"Requirement already satisfied: pandas in /opt/conda/envs/Python36/lib/python3.6/site-packages (from roughviz) (0.24.1)\n",
"Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from Jinja2->roughviz) (1.1.0)\n",
"Requirement already satisfied: pytz>=2011k in /opt/conda/envs/Python36/lib/python3.6/site-packages (from pandas->roughviz) (2018.9)\n",
"Requirement already satisfied: numpy>=1.12.0 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from pandas->roughviz) (1.15.4)\n",
"Requirement already satisfied: python-dateutil>=2.5.0 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from pandas->roughviz) (2.7.5)\n",
"Requirement already satisfied: six>=1.5 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from python-dateutil>=2.5.0->pandas->roughviz) (1.12.0)\n",
"Installing collected packages: roughviz\n",
"Successfully installed roughviz-4.6.0\n"
]
}
],
"source": [
"!pip install roughviz"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# IMPORT"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"import roughviz"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# VISUALIZE"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### BAR CHART"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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""
],
"text/plain": [
""
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd \n",
"d = {'Year': ['1980', '1981', '1982'], 'A': [3, 4, 10]}\n",
"df = pd.DataFrame(data=d)\n",
"roughviz.bar(df[\"Year\"], df[\"A\"], axisRoughness = 0.7, axisStrokeWidth = 0.7, roughness=2.3, highlight=\"gray\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### HORIZONTAL BAR CHART"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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""
],
"text/plain": [
""
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd \n",
"d = {'Year': ['1980', '1981', '1982'], 'A': [3, 4, 10]}\n",
"df = pd.DataFrame(data=d)\n",
"roughviz.barh(df[\"Year\"], df[\"A\"], axisRoughness = 0.7, axisStrokeWidth = 0.7, roughness=2.3, highlight=\"gray\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### STACKED BAR CHART"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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""
],
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import roughviz\n",
"import pandas as pd \n",
"d = {'Year': ['1980', '1981', '1982'], 'A': [3, 4, 10], 'B': [3, 4, 10]}\n",
"df = pd.DataFrame(data=d)\n",
"roughviz.stackedbar(df[\"Year\"], df[[\"A\",\"B\"]], axisRoughness = 0.7, axisStrokeWidth = 0.7, roughness=2.3, highlight=\"gray\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PIE CHART"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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""
],
"text/plain": [
""
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd \n",
"d = {'Year': ['1980', '1981', '1982'], 'A': [3, 4, 10]}\n",
"df = pd.DataFrame(data=d)\n",
"roughviz.pie(df[\"Year\"], df[\"A\"], axisRoughness = 0.7, axisStrokeWidth = 0.7, roughness=2.3, highlight=\"gray\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### DONUT CHART"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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""
],
"text/plain": [
""
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd \n",
"d = {'Year': ['1980', '1981', '1982'], 'A': [3, 4, 10]}\n",
"df = pd.DataFrame(data=d)\n",
"roughviz.donut(df[\"Year\"], df[\"A\"], axisRoughness = 0.7, axisStrokeWidth = 0.7, roughness=2.3, highlight=\"gray\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.6",
"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": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 1
}