Hello all I have created a treemap which has 104 nodes these nodes are arranged numerically vertical correct till 92 node but after that it is converting to horizontal arrangement from 93 to 104
HI @Sachin12 welcome to the forums.
Could you share the code which generates this figure?
Greetings to you @AIMPED
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
df = pd.read_excel(r’Data.xlsx’)
treemap = go.FigureWidget( px.treemap(df, path=[‘Pack’, ‘Modules’,‘Cells’] ,color_continuous_scale=‘thermal’, height=300))
treemap.show()
here is the code
| Pack | Modules | Cells | |
|---|---|---|---|
| 0 | pack | module1 | 1 |
| 1 | pack | module1 | 2 |
| 2 | pack | module1 | 3 |
| 3 | pack | module1 | 4 |
| 4 | pack | module1 | 5 |
| … | … | … | … |
| 203 | pack | module2 | 204 |
| 204 | pack | module2 | 205 |
| 205 | pack | module2 | 206 |
| 206 | pack | module2 | 207 |
| 207 | pack | module2 | 208 |
| i am not able share the xlsx file so i have copy pasted its content |
Greeting @AIMPED Did you look into it
Hey @Sachin12, no, I did not.
I’ll need the data for testing. The extract you posted above (10 lines) is sufficient to reproduce the issue?
Greetings @AIMPED
Here is the full code with dataframe
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
l1 = [ ]
for i in range(1,209):
l1.append(i)
df = pd.DataFrame()
df['Pack'] = ["Pack"]*208
df['Modules'] = ['Module1']*104+ ['Module2']*104
df['Cells'] = l1
treemap = go.FigureWidget( px.treemap(df, path=['Pack','Modules','Cells'] ,height=400))
treemap.show()
I took a look at this, but I did not come to any conclusion. I played around with different number of items, it seems that the tree-map always switches the “order” at the fifth column from right.
import pandas as pd
import plotly.express as px
num = 90
rng = (1, 2*num + 1)
l1 = [*range(*rng)]
pack = ["Pack" for _ in l1]
modules = [f"Module{[1, 2][i > num]}" for i in l1]
# convert int to string
#l1 = [f'{a:03d}' for a in l1]
df = pd.DataFrame({'Pack': pack, 'Modules': modules, 'Cells': l1})
treemap = px.treemap(df, path=['Pack', 'Modules', 'Cells'], height=400)
treemap.show()