Heatmaps using graph_objects
A heatmap is a two-dimensional graphical representation of data where the individual values that are contained in a matrix are represented as colors.
Syntax: plotly.graph_objects.Heatmap(arg=None, autocolorscale=None, colorbar=None, colorscale=None, x=None, y=None, z=None, **kwargs)
Parameters:
arg: dict of properties compatible with this constructor
autocolorscale: Determines whether the colorscale is a default palette (autocolorscale: true) or the palette determined by colorscale.
colorbar: plotly.graph_objects.heatmap.ColorBar instance or dict with compatible properties
colorscale: Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string.
x: Sets the x coordinates.
y: Sets the y coordinates.
z: Sets the z coordinates.
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.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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