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Multi-packed Code: One Figure, Multiple Plots

Generate code for multiple plots from a single figure

# Plot the heatmap
  data = np.random.rand(27, 30)
  fig,ax=plt.subplots(figsize=(10,10))
  sns.heatmap(data, annot=False, cmap='viridis', ax=ax)

# Create the dendogram
  Z = np.random.rand(27, 27)fig, ax = plt.subplots(figsize=(5,5))
  dendogram=dendogram(Z, orientation='right', labels=labels)

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Python, Matlab, R, Java, C++

Python

 fig, ax = plt.subplots(figsize=(5,5))
   sns.scatter(x, y, s-10, c= np.random.rand(1000), alpha=0.5)

 fig, ax = plt.subplots(figsize=(10, 6))
  sns.heatmap(data, ax=ax, cmap='viridis', annot=False

 fig, ax = plt.subplots(figsize=(10, 6))
  sns.heatmap(data, ax=ax, cmap='viridis', annot=False

Matlab

 figure('Position', [100, 100, 500, 500]);
   scatter(x, y, 10, rand(1000, 1), 'filled', 'MarkerFaceAlpha', 0.5)

 figure('Position', [100, 100, 1000, 600]);
  ax = axes;
  heatmap(ax, data, 'Colormap', viridis, 'CellLabelColor', 'none')

 figure('Position', [100, 100, 1000, 600]);
  ax = axes;
  heatmap(ax, data, 'Colormap', viridis, 'CellLabelColor', 'none')

 library(ggplot2)
   fig <- ggplot()+
    geom_point(aes(x = x, y = y), size = 10, alpha = 0.5, color = rgb(runif(1000), runif(1000), runif(1000)))

 data_melted <- melt(data)
   ggplot(data_melted, aes(Var1, Var2, fill=value)) + 
  geom_tile() + scale_fill_viridis_c() + theme_minimal()
 theme(axis.text.x = element_text(angle=45, hjust=1))

 data_melted <- melt(data)
   ggplot(data_melted, aes(Var1, Var2, fill=value)) + 
  geom_tile() + scale_fill_viridis_c() + theme_minimal()
 theme(axis.text.x = element_text(angle=45, hjust=1))

Java

 g.setColor(new Color(rand.nextFloat(), rand.nextFloat(), rand.nextFloat(), 0.5f));
  g.fillOval(x,y, 10, 10);

 JFrame frame = new JFrame('Heatmap'); 
  frame.setSize(800, 600);
   XYDataset dataset = createDataset();
  JFreeChart chart = ChartFactory.createXYLineChart('Heatmap', 'X-Axis', 'Y-Axis', dataset, PlotOrientation.VERTICAL, false, true, false)

 JFrame frame = new JFrame('Heatmap'); 
  frame.setSize(800, 600);
   XYDataset dataset = createDataset();
  JFreeChart chart = ChartFactory.createXYLineChart('Heatmap', 'X-Axis', 'Y-Axis', dataset, PlotOrientation.VERTICAL, false, true, false)

C++

Succint accompanying explanations

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Plot 1 (Heatmap with dendogram): This plot shows the heatmap of single-cell metrics across different cellular metaclusters....