The method for altering the width of the columns in a Seaborn-generated heatmap is by using the matplotlib.pyplot.subplots()
method to create a new figure and set the figsize
parameter with desired width and height. For example:
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
# create a matrix
matrix = np.random.rand(5, 5)
# create heatmap
plt.subplots(figsize=(10, 5))
sns.heatmap(matrix, cmap="coolwarm")
plt.show()
In this example, the figsize
parameter is set to (10,5) which will create a plot with 10 inches width and 5 inches height. Adjust the width by increasing or decreasing the first parameter value.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2022-08-03 11:00:00 +0000
Seen: 11 times
Last updated: Mar 14 '23
How can you create an OpenGL plot without relying on external libraries, starting from scratch?
How can I use iText7 to create a PDF that includes a pie chart?
How can I create a monitor in Datadog that includes multiple resources' metrics in one monitor?
Create a regular expression for the following format.
How to create GS1-128 using ZXing.Net?
Is it advisable to create event handlers in a separate method rather than inline all the time?
How to implement a leaderboard in Flutter?
How to create a plot using mplfinance and PyQt5 that includes a volume graph?