Presenting Heat map with Unequal Block Sizes

In plotly, it is possible to show the unequal sizes of the blocks as to make the data differentiate between each other to make it more clear while presenting as the data has different height and width compared to each other.

Example:

Python3




import plotly.graph_objects as go
  
feature_x = np.arange(0, 50, 2)
feature_y = np.arange(0, 50, 3)
  
# Creating 2-D grid of features
[X, Y] = np.meshgrid(feature_x, feature_y)
  
Z = np.cos(X / 2) + np.sin(Y / 4)
  
fig = go.Figure(data=go.Heatmap(
  x=feature_x, y=feature_y, z=Z,))
  
fig.update_layout(
    margin=dict(t=200, r=200, b=200, l=200),
    showlegend=False,
    width=700, height=700,
    autosize=False)
  
  
fig.show()


Output:



Create Heatmaps using graph_objects class in Plotly

A Plotly is a Python library that is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.

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Presenting Heat map with Unequal Block Sizes

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