|
3047 | 3047 | "icon": "apps/apps_markdown.svg"
|
3048 | 3048 | }
|
3049 | 3049 | },
|
| 3050 | + { |
| 3051 | + "id" : "visualize_chart", |
| 3052 | + "type" : "function", |
| 3053 | + "level": 1, |
| 3054 | + "name" : "Chart", |
| 3055 | + "tag" : "MATPLOTLIB,CHART,VISUALIZATION,VISUALIZE", |
| 3056 | + "path" : "visualpython - visualization - matplotlib", |
| 3057 | + "desc" : "Matplotlib chart creation", |
| 3058 | + "file" : "m_apps/Chart", |
| 3059 | + "apps" : { |
| 3060 | + "color": 3, |
| 3061 | + "icon": "apps/apps_chart.svg" |
| 3062 | + } |
| 3063 | + }, |
3050 | 3064 | {
|
3051 | 3065 | "id" : "apps_pdf",
|
3052 | 3066 | "type" : "function",
|
|
3057 | 3071 | "desc" : "PDF",
|
3058 | 3072 | "file" : "m_apps/PDF",
|
3059 | 3073 | "apps" : {
|
3060 |
| - "color": 3, |
| 3074 | + "color": 4, |
3061 | 3075 | "icon": "apps/apps_pymupdf.svg"
|
3062 | 3076 | }
|
3063 | 3077 | },
|
|
3077 | 3091 | }
|
3078 | 3092 | ]
|
3079 | 3093 | },
|
3080 |
| - { |
3081 |
| - "id" : "pkg_visualize", |
3082 |
| - "type" : "package", |
3083 |
| - "level": 0, |
3084 |
| - "name" : "Visualization", |
3085 |
| - "path" : "visualpython - visualization", |
3086 |
| - "desc" : "Visualization modules", |
3087 |
| - "open" : true, |
3088 |
| - "grid" : true, |
3089 |
| - "item" : [ |
3090 |
| - { |
3091 |
| - "id" : "visualize_chartStyle", |
3092 |
| - "type" : "function", |
3093 |
| - "level": 1, |
3094 |
| - "name" : "Chart Style", |
3095 |
| - "tag" : "CHART STYLE SETTING,IMPORT CHART,VISUALIZATION,VISUALIZE", |
3096 |
| - "path" : "visualpython - visualization - chartsstyle", |
3097 |
| - "desc" : "Chart style setting", |
3098 |
| - "file" : "m_visualize/ChartSetting", |
3099 |
| - "apps" : { |
3100 |
| - "color": 1, |
3101 |
| - "icon": "apps/apps_style.svg" |
3102 |
| - } |
3103 |
| - }, |
3104 |
| - { |
3105 |
| - "id" : "pd_plot", |
3106 |
| - "type" : "function", |
3107 |
| - "level": 1, |
3108 |
| - "name" : "Pandas Plot", |
3109 |
| - "tag" : "PANDAS PLOT,PANDAS", |
3110 |
| - "path" : "visualpython - library - pandas - plot", |
3111 |
| - "desc" : "Pandas plot creation", |
3112 |
| - "file" : "m_library/m_pandas/plot", |
3113 |
| - "apps" : { |
3114 |
| - "color": 1, |
3115 |
| - "icon": "apps/apps_chart.svg" |
3116 |
| - } |
3117 |
| - }, |
3118 |
| - { |
3119 |
| - "id" : "visualize_chart", |
3120 |
| - "type" : "function", |
3121 |
| - "level": 1, |
3122 |
| - "name" : "Matplotlib", |
3123 |
| - "tag" : "MATPLOTLIB,CHART,VISUALIZATION,VISUALIZE", |
3124 |
| - "path" : "visualpython - visualization - matplotlib", |
3125 |
| - "desc" : "Matplotlib chart creation", |
3126 |
| - "file" : "m_apps/Chart", |
3127 |
| - "apps" : { |
3128 |
| - "color": 1, |
3129 |
| - "icon": "apps/apps_chart.svg" |
3130 |
| - } |
3131 |
| - }, |
3132 |
| - { |
3133 |
| - "id" : "visualize_seaborn", |
3134 |
| - "type" : "function", |
3135 |
| - "level": 1, |
3136 |
| - "name" : "Seaborn", |
3137 |
| - "tag" : "SEABORN,CHART,VISUALIZATION,VISUALIZE", |
3138 |
| - "path" : "visualpython - visualization - seaborn", |
3139 |
| - "desc" : "Seaborn chart creation", |
3140 |
| - "file" : "m_visualize/Seaborn", |
3141 |
| - "apps" : { |
3142 |
| - "color": 1, |
3143 |
| - "icon": "apps/apps_chart.svg" |
3144 |
| - } |
3145 |
| - } |
3146 |
| - ] |
3147 |
| - }, |
3148 | 3094 | {
|
3149 | 3095 | "id" : "pkg_ml",
|
3150 | 3096 | "type" : "package",
|
|
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