|
48 | 48 | }, |
49 | 49 | { |
50 | 50 | "cell_type": "code", |
51 | | - "execution_count": 11, |
52 | | - "metadata": {}, |
| 51 | + "execution_count": 2, |
| 52 | + "metadata": { |
| 53 | + "scrolled": false |
| 54 | + }, |
53 | 55 | "outputs": [ |
54 | 56 | { |
55 | 57 | "data": { |
56 | 58 | "text/html": [ |
57 | | - "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/529.embed\" height=\"525px\" width=\"100%\"></iframe>" |
| 59 | + "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/1160.embed\" height=\"525px\" width=\"100%\"></iframe>" |
58 | 60 | ], |
59 | 61 | "text/plain": [ |
60 | 62 | "<plotly.tools.PlotlyDisplay object>" |
61 | 63 | ] |
62 | 64 | }, |
63 | | - "execution_count": 11, |
| 65 | + "execution_count": 2, |
64 | 66 | "metadata": {}, |
65 | 67 | "output_type": "execute_result" |
66 | 68 | } |
|
73 | 75 | "\n", |
74 | 76 | "df = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv\")\n", |
75 | 77 | "\n", |
76 | | - "fig = {\n", |
77 | | - " \"data\": [{\n", |
78 | | - " \"type\": 'violin',\n", |
79 | | - " \"y\": df['total_bill'],\n", |
80 | | - " \"box\": {\n", |
81 | | - " \"visible\": False\n", |
82 | | - " },\n", |
83 | | - " \"line\": {\n", |
84 | | - " \"color\": 'black'\n", |
85 | | - " },\n", |
86 | | - " \"meanline\": {\n", |
87 | | - " \"visible\": False\n", |
88 | | - " },\n", |
89 | | - " \"fillcolor\": '#8dd3c7',\n", |
90 | | - " \"opacity\": 1,\n", |
91 | | - " \"x0\": 'Total Bill'\n", |
92 | | - " }],\n", |
93 | | - " \"layout\" : {\n", |
94 | | - " \"title\": \"\",\n", |
95 | | - " \"yaxis\": {\n", |
96 | | - " \"zeroline\": False,\n", |
97 | | - " }\n", |
98 | | - " }\n", |
99 | | - "}\n", |
| 78 | + "trace1 = dict(\n", |
| 79 | + " orientation='h',\n", |
| 80 | + " type='violin',\n", |
| 81 | + " x=list(df['total_bill'] + 4),\n", |
| 82 | + " y0=1,\n", |
| 83 | + " box=dict(visible=False),\n", |
| 84 | + " line=dict(width=0),\n", |
| 85 | + " meanline=dict(visible=False),\n", |
| 86 | + " fillcolor='#c78dd3',\n", |
| 87 | + " opacity=0.8,\n", |
| 88 | + " points=False,\n", |
| 89 | + " side='positive',\n", |
| 90 | + ")\n", |
| 91 | + "\n", |
| 92 | + "trace2 = dict(\n", |
| 93 | + " orientation='h',\n", |
| 94 | + " type='violin',\n", |
| 95 | + " x=list(df['total_bill'] + 4),\n", |
| 96 | + " y0=0.1,\n", |
| 97 | + " box=dict(visible=False),\n", |
| 98 | + " line=dict(width=0),\n", |
| 99 | + " meanline=dict(visible=False),\n", |
| 100 | + " fillcolor='#8dd3c7',\n", |
| 101 | + " opacity=0.8,\n", |
| 102 | + " points=False,\n", |
| 103 | + " side='positive',\n", |
| 104 | + ")\n", |
100 | 105 | "\n", |
101 | | - "py.iplot(fig, filename='violin/basic', validate=False)" |
| 106 | + "fig = dict(\n", |
| 107 | + " data=[trace1, trace2,],\n", |
| 108 | + " layout=dict(\n", |
| 109 | + " title='',\n", |
| 110 | + " yaxis=dict(zeroline=False),\n", |
| 111 | + " showlegend=False\n", |
| 112 | + " )\n", |
| 113 | + ")\n", |
| 114 | + "\n", |
| 115 | + "py.iplot(fig, filename='violin-for-joyplot')" |
102 | 116 | ] |
103 | 117 | }, |
104 | 118 | { |
105 | 119 | "cell_type": "code", |
106 | | - "execution_count": 9, |
| 120 | + "execution_count": null, |
107 | 121 | "metadata": {}, |
108 | | - "outputs": [ |
109 | | - { |
110 | | - "data": { |
111 | | - "text/plain": [ |
112 | | - "{'data': [{'box': {'visible': False},\n", |
113 | | - " 'fillcolor': '#8dd3c7',\n", |
114 | | - " 'line': {'color': 'black'},\n", |
115 | | - " 'meanline': {'visible': False},\n", |
116 | | - " 'opacity': 1,\n", |
117 | | - " 'type': 'violin',\n", |
118 | | - " 'x0': 'Total Bill',\n", |
119 | | - " 'y': 0 16.99\n", |
120 | | - " 1 10.34\n", |
121 | | - " 2 21.01\n", |
122 | | - " 3 23.68\n", |
123 | | - " 4 24.59\n", |
124 | | - " 5 25.29\n", |
125 | | - " 6 8.77\n", |
126 | | - " 7 26.88\n", |
127 | | - " 8 15.04\n", |
128 | | - " 9 14.78\n", |
129 | | - " 10 10.27\n", |
130 | | - " 11 35.26\n", |
131 | | - " 12 15.42\n", |
132 | | - " 13 18.43\n", |
133 | | - " 14 14.83\n", |
134 | | - " 15 21.58\n", |
135 | | - " 16 10.33\n", |
136 | | - " 17 16.29\n", |
137 | | - " 18 16.97\n", |
138 | | - " 19 20.65\n", |
139 | | - " 20 17.92\n", |
140 | | - " 21 20.29\n", |
141 | | - " 22 15.77\n", |
142 | | - " 23 39.42\n", |
143 | | - " 24 19.82\n", |
144 | | - " 25 17.81\n", |
145 | | - " 26 13.37\n", |
146 | | - " 27 12.69\n", |
147 | | - " 28 21.70\n", |
148 | | - " 29 19.65\n", |
149 | | - " ... \n", |
150 | | - " 214 28.17\n", |
151 | | - " 215 12.90\n", |
152 | | - " 216 28.15\n", |
153 | | - " 217 11.59\n", |
154 | | - " 218 7.74\n", |
155 | | - " 219 30.14\n", |
156 | | - " 220 12.16\n", |
157 | | - " 221 13.42\n", |
158 | | - " 222 8.58\n", |
159 | | - " 223 15.98\n", |
160 | | - " 224 13.42\n", |
161 | | - " 225 16.27\n", |
162 | | - " 226 10.09\n", |
163 | | - " 227 20.45\n", |
164 | | - " 228 13.28\n", |
165 | | - " 229 22.12\n", |
166 | | - " 230 24.01\n", |
167 | | - " 231 15.69\n", |
168 | | - " 232 11.61\n", |
169 | | - " 233 10.77\n", |
170 | | - " 234 15.53\n", |
171 | | - " 235 10.07\n", |
172 | | - " 236 12.60\n", |
173 | | - " 237 32.83\n", |
174 | | - " 238 35.83\n", |
175 | | - " 239 29.03\n", |
176 | | - " 240 27.18\n", |
177 | | - " 241 22.67\n", |
178 | | - " 242 17.82\n", |
179 | | - " 243 18.78\n", |
180 | | - " Name: total_bill, Length: 244, dtype: float64}],\n", |
181 | | - " 'layout': {'title': '', 'yaxis': {'zeroline': False}}}" |
182 | | - ] |
183 | | - }, |
184 | | - "execution_count": 9, |
185 | | - "metadata": {}, |
186 | | - "output_type": "execute_result" |
187 | | - } |
188 | | - ], |
189 | | - "source": [ |
190 | | - "fig" |
191 | | - ] |
| 122 | + "outputs": [], |
| 123 | + "source": [] |
192 | 124 | }, |
193 | 125 | { |
194 | 126 | "cell_type": "markdown", |
|
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