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To transpose the axis of a single column heatmap using Seaborn in Python, you can use the heatmap function with the following parameters:

1. data: the data to be plotted
2. x: the column that will be plotted on the x-axis
3. y: the column that will be plotted on the y-axis
4. annot: whether to annotate each cell with its value
5. cmap: the color map to use for the heatmap

To transpose the axis of a single column heatmap, simply switch the x and y parameters in the heatmap function, like this:

import seaborn as sns
import matplotlib.pyplot as plt

# Load example dataset
flights = sns.load_dataset("flights")

# Transpose the axis of the heatmap
sns.heatmap(data=flights.pivot('month', 'year', 'passengers'), annot=True, cmap="YlGnBu")

plt.show()

In this example, we are using the flights dataset and transposing the axis of the passengers column. The pivot function is used to reshape the flights dataset so that the months are on the x-axis and the years are on the y-axis. The heatmap is then plotted with annotations and the YlGnBu color map.