File size: 3,224 Bytes
2becd32
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2783aa5
 
 
2becd32
 
 
 
 
 
 
 
 
2783aa5
 
2becd32
b7fa009
2becd32
 
3e62657
 
 
13a9b5d
 
2783aa5
 
 
 
 
 
 
 
 
 
 
2becd32
2783aa5
2becd32
 
2783aa5
 
 
 
 
 
 
 
 
 
 
2becd32
 
 
 
 
 
2783aa5
 
 
 
 
 
 
 
 
 
 
 
2becd32
 
 
 
 
 
 
8fb450a
2783aa5
 
13a9b5d
 
2becd32
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
{
 "cells": [
  {
   "cell_type": "raw",
   "id": "41022af5",
   "metadata": {},
   "source": [
    "---\n",
    "title: ipyvizzu demo\n",
    "description: ipyvizzu mercury demo\n",
    "show-code: False\n",
    "params:\n",
    "params:\n",
    "    gender:\n",
    "        input: select\n",
    "        label: select the gender\n",
    "        choices: [male, female]\n",
    "        multi: False\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf9e62cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# configure default value\n",
    "\n",
    "gender = 'male'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1226e7e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pandas and ipyvizzu and initialize chart\n",
    "\n",
    "import pandas as pd\n",
    "from ipyvizzu import Chart, Data, Config, Style\n",
    "\n",
    "\n",
    "# chart = Chart(width=\"640px\", height=\"360px\")\n",
    "# chart = Chart(width=\"640px\", height=\"360px\", display=\"begin\")\n",
    "# chart = Chart(width=\"640px\", height=\"360px\", display=\"actual\")  # default\n",
    "# chart = Chart(width=\"640px\", height=\"360px\", display=\"end\")\n",
    "chart = Chart(width=\"640px\", height=\"360px\", display=\"manual\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a26e2e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add data\n",
    "\n",
    "data = Data()\n",
    "data_frame = pd.read_csv(\"https://github.com/vizzuhq/ipyvizzu/raw/main/docs/examples/stories/titanic/titanic.csv\")\n",
    "data.add_data_frame(data_frame)\n",
    "\n",
    "chart.animate(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ab7ece9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add config\n",
    "\n",
    "chart.animate(Config({\"x\": \"Count\", \"y\": \"Sex\", \"label\": \"Count\",\"title\":\"Passengers of the Titanic\"}))\n",
    "chart.animate(Config({\"x\": [\"Count\",\"Survived\"], \"label\": [\"Count\",\"Survived\"], \"color\": \"Survived\"}))\n",
    "chart.animate(Config({\"x\": \"Count\", \"y\": [\"Sex\",\"Survived\"]}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ab1ecf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add style\n",
    "\n",
    "chart.animate(Style({\"title\": {\"fontSize\": 35}}))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4ded5cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filter data by the selected gender\n",
    "\n",
    "data_filter = Data.filter(f\"record['Sex'] == '{gender}'\")\n",
    "chart.animate(data_filter)\n",
    "chart\n"
   ]
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}