|
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", |
|
