Reputation: 330
i'm attempting to make a HeatMap just like this one using Bokeh
.
Here is my dataframe Data
from which i'm trying to make the HeatMap
Day Code Total
0 1 6001 44
1 1 6002 40
2 1 6006 8
3 1 6008 2
4 1 6010 38
5 1 6011 1
6 1 6014 19
7 1 6018 1
8 1 6019 1
9 1 6023 10
10 1 6028 4
11 2 6001 17
12 2 6010 2
13 2 6014 4
14 2 6020 1
15 2 6028 2
16 3 6001 48
17 3 6002 24
18 3 6003 1
19 3 6005 1
20 3 6006 2
21 3 6008 18
22 3 6010 75
23 3 6011 1
24 3 6014 72
25 3 6023 34
26 3 6028 1
27 3 6038 3
28 4 6001 19
29 4 6002 105
30 5 6001 52
...
And here is my code:
from bokeh.io import output_file
from bokeh.io import show
from bokeh.models import (
ColumnDataSource,
HoverTool,
LinearColorMapper
)
from bokeh.plotting import figure
output_file('SHM_Test.html', title='SHM', mode='inline')
source = ColumnDataSource(Data)
TOOLS = "hover,save"
# Creating the Figure
SHM = figure(title="HeatMap",
x_range=[str(i) for i in range(1,32)],
y_range=[str(i) for i in range(6043,6000,-1)],
x_axis_location="above", plot_width=400, plot_height=970,
tools=TOOLS, toolbar_location='right')
# Figure Styling
SHM.grid.grid_line_color = None
SHM.axis.axis_line_color = None
SHM.axis.major_tick_line_color = None
SHM.axis.major_label_text_font_size = "5pt"
SHM.axis.major_label_standoff = 0
SHM.toolbar.logo = None
SHM.title.text_alpha = 0.3
# Color Mapping
CM = LinearColorMapper(palette='RdPu9', low=Data.Total.min(), high=Data.Total.max())
SHM.rect(x='Day', y="Code", width=1, height=1,source=source,
fill_color={'field': 'Total','transform': CM})
show(SHM)
When i excecute my code i don't get any errors but i just get an empty Frame, as shown in the image below.
I've been struggling trying to find where is my mistake, ¿Why i'm getting this? ¿Where is my error?
Upvotes: 1
Views: 510
Reputation: 895
The problem with your code is the data type that you are setting for the x and y axis range and the data type of your ColumnDataSource are different. You are setting the x_range
and y_range
to be a list of strings, but from looking at your data in csv format it will be treated as integers.
In your case, you would want to make sure that your Day and Code column are in string format.
This can be easily done using the pandas package with
Data['Day'] = Data['Day'].astype('str')
Data['Code'] = Date['Code'].astype('str')
Upvotes: 1