Habilidades plotly
📊
plotly
Seguro ⚙️
Comandos externos📁
Acesso ao sistema de arquivos🌐
Acesso à rede
Crie visualizações de dados interativas com Plotly
Também disponível em: K-Dense Inc.
Criar gráficos e visualizações leva tempo. Plotly oferece uma biblioteca Python com mais de 40 tipos de gráficos, incluindo gráficos de dispersão, mapas de calor, gráficos 3D e mapas geográficos. Gere visualizações interativas de qualidade para publicação e exporte para HTML ou imagens estáticas.
Suporta: Claude Codex Code(CC)
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A utilizar "plotly". Create a heatmap showing correlation matrix with annotations
Resultado esperado:
- Uma visualização de heatmap onde os valores z formam uma grade colorida
- Cada célula mostra seu valor numérico como anotação de texto
- A escala de cores transita do azul (negativo) passando pelo branco até o vermelho (positivo)
- Tooltips de hover revelam valores exatos ao passar o mouse sobre as células
A utilizar "plotly". Show stock prices over time with candlestick chart
Resultado esperado:
- Um gráfico candlestick exibindo preços de abertura, máxima, mínima e fechamento
- Velas verdes indicam aumento de preço, velas vermelhas indicam queda
- Seletor de intervalo de datas permite filtragem por período de tempo
- Tooltips de hover mostram valores OHLC precisos ao passar o mouse
Auditoria de Segurança
Segurov5 • 1/17/2026
Documentation-only skill containing no executable code. All 318 static findings are FALSE POSITIVES. The skill consists entirely of markdown documentation with Python code examples for the Plotly visualization library. Pattern-based scanner incorrectly flagged markdown code fences (```python) as 'Ruby/shell backtick execution', common documentation words like 'Multiple' as 'C2 keywords', and legitimate documentation URLs as 'Hardcoded URL'. No scripts, network calls, file system access, or code execution capabilities exist in this skill.
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Arquivos analisados
2,389
Linhas analisadas
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Total de auditorias
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⚙️ Comandos externos (293)
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📁 Acesso ao sistema de arquivos (1)
🌐 Acesso à rede (4)
Auditado por: claude Ver Histórico de Auditoria →
Pontuação de qualidade
38
Arquitetura
100
Manutenibilidade
87
Conteúdo
20
Comunidade
100
Segurança
91
Conformidade com especificações
O Que Você Pode Construir
Exploração estatística de dados
Crie histogramas, box plots e matrizes de dispersão para explorar distribuições e relações em seus conjuntos de dados
Gráficos de análise de mercado
Construa gráficos candlestick, séries temporais e dashboards financeiros para visualização de dados de mercado
Publicações científicas
Gere gráficos de superfície 3D, gráficos de contorno e mapas de calor para artigos de pesquisa e apresentações
Tente Estes Prompts
Gráfico de dispersão básico
Crie um gráfico de dispersão Plotly mostrando a relação entre as colunas x e y de um DataFrame pandas df, com pontos coloridos por categoria
Distribuição estatística
Use Plotly Express para criar um histograma com box plot marginal mostrando a distribuição de valores, colorido por grupo
Visualização geográfica
Crie um mapa choropleth usando Plotly mostrando valores por país, com escala de cores contínua e tooltips de hover
Dashboard multi-painel
Crie um subplot 2x2 com make_subplots contendo um gráfico de dispersão, gráfico de barras, histograma e box plot com eixos compartilhados
Melhores Práticas
- Use Plotly Express para gráficos rápidos e migre para graph_objects para personalização de baixo nível
- Aplique templates como plotly_white ou plotly_dark para estilização consistente entre figuras
- Use fig.write_html para criar gráficos interativos autônomos que abrem em qualquer navegador
Evitar
- Evite codificar dimensões de gráficos; use autosize=True para layouts responsivos
- Não crie gráficos excessivamente complexos únicos; use subplots para organizar múltiplas visualizações
- Evite esquemas de cores padrão para dados categóricos; defina mapeamentos de cores claros
Perguntas Frequentes
Quais ambientes Python suportam Plotly?
Plotly funciona com Python 3.7+ em Jupyter, VS Code, PyCharm e linha de comando. Dash requer Flask por baixo dos panos.
Quantos pontos de dados o Plotly consegue lidar?
O desempenho varia por tipo de gráfico. Até 100k pontos funcionam bem para traços simples. Grandes conjuntos de dados precisam de agregação ou traços WebGL.
Posso usar Plotly sem internet?
Sim. Instale plotly localmente e use include_plotlyjs=True para exportação HTML completa. CDN requer conexão com internet.
Meus dados estão seguros com Plotly?
Plotly executa localmente em seu ambiente Python. Os dados nunca saem da sua máquina, a menos que você compartilhe explicitamente arquivos HTML exportados.
Por que minhas imagens exportadas parecem borradas?
Aumente o parâmetro scale em write_image. Use scale=2 ou scale=3 para exportações PNG, PDF e SVG de alta resolução.
Como Plotly se compara a Matplotlib?
Plotly cria gráficos HTML interativos com tooltips de hover. Matplotlib produz imagens estáticas mais rápido. Use Plotly para web e Matplotlib para publicação.
Detalhes do Desenvolvedor
Autor
davila7Licença
MIT
Repositório
https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/plotlyReferência
main
Estrutura de arquivos