I have a data frame with three columns, two of them are positions x & y and the third one is an error. I would like to plot the error for each combination of (x,y) position combination on a heat map but I'm failing miserably.
I tired the following:
df_X['x_error']=df_X['x_error'].astype(float)
p1 = sns.heatmap(df_X,annot=True)
Here's my data frame df_X:
index y_position x_position x_error
0 2.0 106.0 0.28
1 2.0 107.0 2.15
2 2.0 114.0 2.24
3 2.0 115.0 4.38
4 2.0 122.0 6.33
5 2.0 123.0 8.54
6 2.0 130.0 11.41
7 2.0 131.0 12.60
8 3.0 100.0 5.53
9 3.0 101.0 7.58
10 3.0 108.0 2.97
11 3.0 109.0 4.52
12 3.0 116.0 3.14
13 3.0 117.0 3.27
14 3.0 124.0 5.66
15 3.0 125.0 10.27
16 3.0 132.0 10.17
17 3.0 133.0 12.93
18 3.0 140.0 5.09
19 3.0 141.0 5.08
20 4.0 95.0 10.21
21 4.0 96.0 14.66
22 4.0 103.0 4.52
23 4.0 104.0 6.58
24 4.0 111.0 2.92
25 4.0 112.0 5.59
26 4.0 119.0 3.34
27 4.0 120.0 5.14
28 4.0 127.0 10.59
29 4.0 128.0 12.98
30 4.0 135.0 8.13
31 4.0 136.0 9.25
32 4.0 143.0 3.25
Here's what I got:
Here's what I would like to have:
Can anyone help me please ?
CodePudding user response:
Try this:
df_X = df_X.pivot("y_position", "x_position", "x_error")
ax = sns.heatmap(df_X)