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wordclouds.NewWordcloud(\n\twordCounts,\n\twordclouds.FontFile(\"fonts/myfont.ttf\"),\n\twordclouds.Height(2048),\n\twordclouds.Width(2048),\n)\n\nimg := w.Draw()\n```\n\n# Options\n\n- Output height and width\n- Font: Must be a valid TTF file.\n- Font max,min size\n- Colors\n- Background color\n- Placement : random or circular\n- Masking\n\n# Masking\n\nA list of bounding boxes where the algorithm can not place words can be provided.\n\nThe `Mask` function can be used to create such a mask given a file and a masking color.\n\n```go\nboxes := wordclouds.Mask(\n\tconf.Mask.File,\n\tconf.Width,\n\tconf.Height,\n\tconf.Mask.Color,\n)\n```\n\nSee the example folder for a fully working implementation.\n\n# Speed\n\nMost wordclouds should take a few seconds to be generated. A spatial hashmap is used to find potential collisions.\n\nThere are two possible placement algorithm choices:\n1. Random: the algorithms randomly tries to place the word anywhere in the image space.\n   - If it can't find a spot after 500000 tries, it gives up and moves on to the next word. It's quite slow.\n2. Spiral: the algorithm starts to place the words on concentric circles starting at the center of the image.\nIt is very fast and is the default algorithm    \n\n# Contributing\n\nFeel free to create pull requests, I'll gladly review them!\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsykhi%2Fwordclouds","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpsykhi%2Fwordclouds","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsykhi%2Fwordclouds/lists"}