Seriously need YOUR help!! Dash plotly is killing me.. /u/BlaZiixx Python Education

Seriously need YOUR help!! Dash plotly is killing me.. /u/BlaZiixx Python Education

First of all, thank you!

I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall.
Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?)

The Problem:

It doesn’t show all the regions..
And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this..

What has been done so far:

Region name verification:

– Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly.
– Checked for extra spaces, diacritics, and case mismatches—everything aligns.

Data quality checks:

– Confirmed no missing or non-numeric values in the value column.
– Aggregated data correctly by region names, and all unique regions appear in the data.

GeoJSON debugging:

– Verified that all regions have geometries in the GeoJSON file.
– No missing or malformed geometries were found.

Regions in CSV but not in GeoJSON: set()
Regions in GeoJSON but not in CSV: set()

Visualization debugging:

– Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly.
– All region boundaries show up, but some regions remain unfilled despite valid value data being passed.

What i have?:
I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities
I have aggredated data with values in all Regions (i’ll post the data in the first comment)

Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project?

I can provide the code used, but it is just:

 fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data['Region'], z=agg_data['value'], featureidkey="properties.label_dk", colorscale="Greens", colorbar_title="Value", marker_line_width=1, # marker_line_color='red', #made them red to easy spot hovertemplate="<b>%{location}</b><br>Value: %{z}<extra></extra>" )) 

submitted by /u/BlaZiixx
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​r/learnpython First of all, thank you! I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall. Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?) The Problem: It doesn’t show all the regions.. And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this.. What has been done so far: Region name verification: – Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly. – Checked for extra spaces, diacritics, and case mismatches—everything aligns. Data quality checks: – Confirmed no missing or non-numeric values in the value column. – Aggregated data correctly by region names, and all unique regions appear in the data. GeoJSON debugging: – Verified that all regions have geometries in the GeoJSON file. – No missing or malformed geometries were found. Regions in CSV but not in GeoJSON: set() Regions in GeoJSON but not in CSV: set() Visualization debugging: – Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly. – All region boundaries show up, but some regions remain unfilled despite valid value data being passed. What i have?: I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities I have aggredated data with values in all Regions (i’ll post the data in the first comment) Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project? I can provide the code used, but it is just: fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data[‘Region’], z=agg_data[‘value’], featureidkey=”properties.label_dk”, colorscale=”Greens”, colorbar_title=”Value”, marker_line_width=1, # marker_line_color=’red’, #made them red to easy spot hovertemplate=”<b>%{location}</b><br>Value: %{z}<extra></extra>” )) submitted by /u/BlaZiixx [link] [comments] 

First of all, thank you!

I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall.
Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?)

The Problem:

It doesn’t show all the regions..
And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this..

What has been done so far:

Region name verification:

– Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly.
– Checked for extra spaces, diacritics, and case mismatches—everything aligns.

Data quality checks:

– Confirmed no missing or non-numeric values in the value column.
– Aggregated data correctly by region names, and all unique regions appear in the data.

GeoJSON debugging:

– Verified that all regions have geometries in the GeoJSON file.
– No missing or malformed geometries were found.

Regions in CSV but not in GeoJSON: set()
Regions in GeoJSON but not in CSV: set()

Visualization debugging:

– Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly.
– All region boundaries show up, but some regions remain unfilled despite valid value data being passed.

What i have?:
I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities
I have aggredated data with values in all Regions (i’ll post the data in the first comment)

Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project?

I can provide the code used, but it is just:

 fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data['Region'], z=agg_data['value'], featureidkey="properties.label_dk", colorscale="Greens", colorbar_title="Value", marker_line_width=1, # marker_line_color='red', #made them red to easy spot hovertemplate="<b>%{location}</b><br>Value: %{z}<extra></extra>" )) 

submitted by /u/BlaZiixx
[link] [comments]  First of all, thank you! I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall. Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?) The Problem: It doesn’t show all the regions.. And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this.. What has been done so far: Region name verification: – Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly. – Checked for extra spaces, diacritics, and case mismatches—everything aligns. Data quality checks: – Confirmed no missing or non-numeric values in the value column. – Aggregated data correctly by region names, and all unique regions appear in the data. GeoJSON debugging: – Verified that all regions have geometries in the GeoJSON file. – No missing or malformed geometries were found. Regions in CSV but not in GeoJSON: set() Regions in GeoJSON but not in CSV: set() Visualization debugging: – Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly. – All region boundaries show up, but some regions remain unfilled despite valid value data being passed. What i have?: I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities I have aggredated data with values in all Regions (i’ll post the data in the first comment) Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project? I can provide the code used, but it is just: fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data[‘Region’], z=agg_data[‘value’], featureidkey=”properties.label_dk”, colorscale=”Greens”, colorbar_title=”Value”, marker_line_width=1, # marker_line_color=’red’, #made them red to easy spot hovertemplate=”<b>%{location}</b><br>Value: %{z}<extra></extra>” )) submitted by /u/BlaZiixx [link] [comments]

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PhotoMate R3 update! The ONLY serious Android alternative to Adobe’s Lightroom Mobile (If you don’t want to 🏴‍☠️ 🥸) is alive and kicking again! /u/RaguSaucy96 Android

PhotoMate R3 update! The ONLY serious Android alternative to Adobe’s Lightroom Mobile (If you don’t want to 🏴‍☠️ 🥸) is alive and kicking again! /u/RaguSaucy96 Android

PhotoMate R3 update! The ONLY serious Android alternative to Adobe’s Lightroom Mobile (If you don’t want to 🏴‍☠️ 🥸) is alive and kicking again! /u/RaguSaucy96 Android

PhotoMate R3 update! The ONLY serious Android alternative to Adobe's Lightroom Mobile (If you don't want to 🏴‍☠️ 🥸) is alive and kicking again! submitted by /u/RaguSaucy96
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​r/Android submitted by /u/RaguSaucy96 [link] [comments] 

PhotoMate R3 update! The ONLY serious Android alternative to Adobe's Lightroom Mobile (If you don't want to 🏴‍☠️ 🥸) is alive and kicking again! submitted by /u/RaguSaucy96
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  submitted by /u/RaguSaucy96 [link] [comments]

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can someone help me understand the logic behind this? /u/Wonderful_Many6084 Python Education

can someone help me understand the logic behind this? /u/Wonderful_Many6084 Python Education

Im new to python and this was the model solution of a problem i was trying to solve, i kind of don’t understand the logic here. can someone help understand?

# Write your solution here

width = int(input(“Width: “))

height = int(input(“Height: “))

i = 1

while i <= height:

print(“#” * width)

i += 1

submitted by /u/Wonderful_Many6084
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​r/learnpython Im new to python and this was the model solution of a problem i was trying to solve, i kind of don’t understand the logic here. can someone help understand? # Write your solution here width = int(input(“Width: “)) height = int(input(“Height: “)) i = 1 while i <= height: print(“#” * width) i += 1 submitted by /u/Wonderful_Many6084 [link] [comments] 

Im new to python and this was the model solution of a problem i was trying to solve, i kind of don’t understand the logic here. can someone help understand?

# Write your solution here

width = int(input(“Width: “))

height = int(input(“Height: “))

i = 1

while i <= height:

print(“#” * width)

i += 1

submitted by /u/Wonderful_Many6084
[link] [comments]  Im new to python and this was the model solution of a problem i was trying to solve, i kind of don’t understand the logic here. can someone help understand? # Write your solution here width = int(input(“Width: “)) height = int(input(“Height: “)) i = 1 while i <= height: print(“#” * width) i += 1 submitted by /u/Wonderful_Many6084 [link] [comments]

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Am I actually tweaking /u/MaybeBasilThePlant Python Education

Am I actually tweaking /u/MaybeBasilThePlant Python Education

I’m doing PLTW 1.2.4 for APCSP but I literally don’t know how the rand.randint = could possibly work??? Because it’s always going to be out of range?? And no matter what I do it throws the same error at me? I’m actually going crazy. The website told me to put in That Specific Code.

wn = trtl.Screen() maze_painter = trtl.Turtle() walls = 25 wall_length = 25 pathw = 15 color = "black" for i in range(walls): door = rand.randint(pathw*2, (wall_length - pathw*2)) barrier = rand.randint(pathw*2, (wall_length - pathw*2)) ##MOVEING maze_painter.forward(wall_length) maze_painter.left(90) ##DOOOOOOOORRRRRR maze_painter.forward(10) maze_painter.penup() maze_painter.forward(door) maze_painter.pendown() ###############BARRIer maze_painter.forward(40) maze_painter.left(90) maze_painter.forward(barrier) maze_painter.back(barrier) maze_painter.right(90) ######################### wall_length += pathw maze_painter.hideturtle() wn.mainloop() 

submitted by /u/MaybeBasilThePlant
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​r/learnpython I’m doing PLTW 1.2.4 for APCSP but I literally don’t know how the rand.randint = could possibly work??? Because it’s always going to be out of range?? And no matter what I do it throws the same error at me? I’m actually going crazy. The website told me to put in That Specific Code. wn = trtl.Screen() maze_painter = trtl.Turtle() walls = 25 wall_length = 25 pathw = 15 color = “black” for i in range(walls): door = rand.randint(pathw*2, (wall_length – pathw*2)) barrier = rand.randint(pathw*2, (wall_length – pathw*2)) ##MOVEING maze_painter.forward(wall_length) maze_painter.left(90) ##DOOOOOOOORRRRRR maze_painter.forward(10) maze_painter.penup() maze_painter.forward(door) maze_painter.pendown() ###############BARRIer maze_painter.forward(40) maze_painter.left(90) maze_painter.forward(barrier) maze_painter.back(barrier) maze_painter.right(90) ######################### wall_length += pathw maze_painter.hideturtle() wn.mainloop() submitted by /u/MaybeBasilThePlant [link] [comments] 

I’m doing PLTW 1.2.4 for APCSP but I literally don’t know how the rand.randint = could possibly work??? Because it’s always going to be out of range?? And no matter what I do it throws the same error at me? I’m actually going crazy. The website told me to put in That Specific Code.

wn = trtl.Screen() maze_painter = trtl.Turtle() walls = 25 wall_length = 25 pathw = 15 color = "black" for i in range(walls): door = rand.randint(pathw*2, (wall_length - pathw*2)) barrier = rand.randint(pathw*2, (wall_length - pathw*2)) ##MOVEING maze_painter.forward(wall_length) maze_painter.left(90) ##DOOOOOOOORRRRRR maze_painter.forward(10) maze_painter.penup() maze_painter.forward(door) maze_painter.pendown() ###############BARRIer maze_painter.forward(40) maze_painter.left(90) maze_painter.forward(barrier) maze_painter.back(barrier) maze_painter.right(90) ######################### wall_length += pathw maze_painter.hideturtle() wn.mainloop() 

submitted by /u/MaybeBasilThePlant
[link] [comments]  I’m doing PLTW 1.2.4 for APCSP but I literally don’t know how the rand.randint = could possibly work??? Because it’s always going to be out of range?? And no matter what I do it throws the same error at me? I’m actually going crazy. The website told me to put in That Specific Code. wn = trtl.Screen() maze_painter = trtl.Turtle() walls = 25 wall_length = 25 pathw = 15 color = “black” for i in range(walls): door = rand.randint(pathw*2, (wall_length – pathw*2)) barrier = rand.randint(pathw*2, (wall_length – pathw*2)) ##MOVEING maze_painter.forward(wall_length) maze_painter.left(90) ##DOOOOOOOORRRRRR maze_painter.forward(10) maze_painter.penup() maze_painter.forward(door) maze_painter.pendown() ###############BARRIer maze_painter.forward(40) maze_painter.left(90) maze_painter.forward(barrier) maze_painter.back(barrier) maze_painter.right(90) ######################### wall_length += pathw maze_painter.hideturtle() wn.mainloop() submitted by /u/MaybeBasilThePlant [link] [comments]

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Removing duplicates from an array(unsorted) – How can I improve the efficiency of this code /u/not_dr_jaishankar Python Education

Removing duplicates from an array(unsorted) – How can I improve the efficiency of this code /u/not_dr_jaishankar Python Education

Hi all, I was attempting to solve a problem where we remove all the duplicates from an unsorted array. This problem was asked in one of the array tutorials. The catch here is I cannot use any other data structures like sets, dictionary since they haven’t been introduced yet. I have come up with a solution, but I do not think it is very efficient. Please help me on how can I improve the code efficiency.

arr = [1,1,2,3,4,2,2,3,4,5,5,3,7,8,7] new_arr = [] for num in arr: notPresent = True for i in range(len(new_arr)): if num == new_arr[i]: notPresent = False break if notPresent: new_arr.append(num) print(new_arr) 

submitted by /u/not_dr_jaishankar
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​r/learnpython Hi all, I was attempting to solve a problem where we remove all the duplicates from an unsorted array. This problem was asked in one of the array tutorials. The catch here is I cannot use any other data structures like sets, dictionary since they haven’t been introduced yet. I have come up with a solution, but I do not think it is very efficient. Please help me on how can I improve the code efficiency. arr = [1,1,2,3,4,2,2,3,4,5,5,3,7,8,7] new_arr = [] for num in arr: notPresent = True for i in range(len(new_arr)): if num == new_arr[i]: notPresent = False break if notPresent: new_arr.append(num) print(new_arr) submitted by /u/not_dr_jaishankar [link] [comments] 

Hi all, I was attempting to solve a problem where we remove all the duplicates from an unsorted array. This problem was asked in one of the array tutorials. The catch here is I cannot use any other data structures like sets, dictionary since they haven’t been introduced yet. I have come up with a solution, but I do not think it is very efficient. Please help me on how can I improve the code efficiency.

arr = [1,1,2,3,4,2,2,3,4,5,5,3,7,8,7] new_arr = [] for num in arr: notPresent = True for i in range(len(new_arr)): if num == new_arr[i]: notPresent = False break if notPresent: new_arr.append(num) print(new_arr) 

submitted by /u/not_dr_jaishankar
[link] [comments]  Hi all, I was attempting to solve a problem where we remove all the duplicates from an unsorted array. This problem was asked in one of the array tutorials. The catch here is I cannot use any other data structures like sets, dictionary since they haven’t been introduced yet. I have come up with a solution, but I do not think it is very efficient. Please help me on how can I improve the code efficiency. arr = [1,1,2,3,4,2,2,3,4,5,5,3,7,8,7] new_arr = [] for num in arr: notPresent = True for i in range(len(new_arr)): if num == new_arr[i]: notPresent = False break if notPresent: new_arr.append(num) print(new_arr) submitted by /u/not_dr_jaishankar [link] [comments]

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16×16 AI Image Generator Help /u/JoeMamaJunk1 Python Education

16×16 AI Image Generator Help /u/JoeMamaJunk1 Python Education

I’ve got 6,000 properly named 16×16 image pixel art files and I want to train/fine-tune an AI model with Python to generate more 16×16 images in the same style. I don’t have any experience with training AI on images and I can’t figure out what my best option is, I was hoping that because of the smaller file size there would be more lightweight models that I could use (I don’t have cuda), but I haven’t been able to get anything to work and ChatGPT has been no help. Can anyone give me some help?

submitted by /u/JoeMamaJunk1
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​r/learnpython I’ve got 6,000 properly named 16×16 image pixel art files and I want to train/fine-tune an AI model with Python to generate more 16×16 images in the same style. I don’t have any experience with training AI on images and I can’t figure out what my best option is, I was hoping that because of the smaller file size there would be more lightweight models that I could use (I don’t have cuda), but I haven’t been able to get anything to work and ChatGPT has been no help. Can anyone give me some help? submitted by /u/JoeMamaJunk1 [link] [comments] 

I’ve got 6,000 properly named 16×16 image pixel art files and I want to train/fine-tune an AI model with Python to generate more 16×16 images in the same style. I don’t have any experience with training AI on images and I can’t figure out what my best option is, I was hoping that because of the smaller file size there would be more lightweight models that I could use (I don’t have cuda), but I haven’t been able to get anything to work and ChatGPT has been no help. Can anyone give me some help?

submitted by /u/JoeMamaJunk1
[link] [comments]  I’ve got 6,000 properly named 16×16 image pixel art files and I want to train/fine-tune an AI model with Python to generate more 16×16 images in the same style. I don’t have any experience with training AI on images and I can’t figure out what my best option is, I was hoping that because of the smaller file size there would be more lightweight models that I could use (I don’t have cuda), but I haven’t been able to get anything to work and ChatGPT has been no help. Can anyone give me some help? submitted by /u/JoeMamaJunk1 [link] [comments]

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