Data Science Asked by Srihari on July 25, 2021
I got this matrix
120 100 80 40 20 10 5 0
120 64.21 58.20 51.20 56.37 47.00 45.61 46.86 2.16
100 62.84 57.80 50.60 51.32 39.43 39.30 42.80 0.89
80 62.62 56.20 51.20 51.61 46.23 37.20 42.20 5.32
40 62.05 52.10 44.20 48.79 42.22 35.16 41.80 1.81
20 61.65 50.90 42.30 46.23 44.83 32.70 41.50 6.24
10 59.69 50.20 40.10 40.20 44.28 32.80 39.90 12.31
5 59.05 49.20 40.60 38.90 44.10 30.80 32.80 9.91
0 56.20 49.10 40.50 38.60 36.20 32.20 31.50 0.00
I know how to plot heatmap for the values inside by specifying it as numpy array and then using
ax = sns.heatmap(nd, annot=True, fmt='g')
But can someone help me how do I include the column and row labels? The column labels and row labels are given (120,100,80,42,etc.)
I got your problem like this way:
You want to show labels on x and y axis on seaborn heatmap. So for that sns.heatmap()
function has two parameter they are xticklabels
for x-axis and yticklabels
for y-axis labels.
follow below code snippet
import seaborn as sns # for data visualization
flight = sns.load_dataset('flights') # load flights datset from GitHub seaborn repository
# reshape flights dataeset in proper format to create seaborn heatmap
flights_df = flight.pivot('month', 'year', 'passengers')
sns.heatmap(flights_df)# create seaborn heatmap
Now, we are changing x and y axis labels using xticklabels
and yticklabels
sns.heatmap() parameters.
x_axis_labels = [1,2,3,4,5,6,7,8,9,10,11,12] # labels for x-axis
y_axis_labels = [11,22,33,44,55,66,77,88,99,101,111,121] # labels for y-axis
# create seabvorn heatmap with required labels
sns.heatmap(flights_df, xticklabels=x_axis_labels, yticklabels=y_axis_labels)
for in depth explanation follow seaborn heatmap tutorial.
Answered by Rudra Mohan on July 25, 2021
Get help from others!
Recent Questions
Recent Answers
© 2024 TransWikia.com. All rights reserved. Sites we Love: PCI Database, UKBizDB, Menu Kuliner, Sharing RPP