How can I set the colorbar range in Matplotlib to span between 0 and 1?

Customizing Colorbar Range in Matplotlib

When generating graphs using Matplotlib, the colorbar range can be controlled to emphasize specific values or visualize data within a desired interval. In this context, we aim to set the colorbar range to span between 0 and 1, regardless of the actual data values.

The solution to this challenge lies in utilizing vmin and vmax arguments when specifying the colormap. These arguments force the range of colors to span between the provided values. By setting vmin to 0 and vmax to 1, we can constrain the colorbar to display this range, even if the data values fall outside of it.

Consider the following code snippet:

<code class="python">import matplotlib.pyplot as plt

# Define the colormap dictionary
cdict = {
    'red': ((0.0, 0.25, .25), (0.02, .59, .59), (1., 1., 1.)),
    'green': ((0.0, 0.0, 0.0), (0.02, .45, .45), (1., .97, .97)),
    'blue': ((0.0, 1.0, 1.0), (0.02, .75, .75), (1., 0.45, 0.45))
}

# Create the colormap
cm = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)

# Plot the data
plt.pcolor(X, Y, v, cmap=cm, vmin=0, vmax=1)
plt.colorbar()
plt.show()</code>

With this modification, the colorbar will now display a range between 0 and 1, even if the data values vary from that interval. This allows for consistent color representation across graphs with varying data ranges, facilitating clear and comparable visualizations.

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