|
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", |
|
0 commit comments