hexbin | community curated list of hexagon logos | Awesome List library

I have a dataset that is tracking some position over time and some values that depend upon position, so I would like to use the seaborn plot to show this data. The plot looks like this:

And here is the code to make it. I can't share the dataset to make it, but this is to give you an idea of what I'm doing.

I have a 2D Array, which contains the heatness of each unit. It is easy to draw a 2D heatmap with square unit, but how can I draw one with hexagon.

Why I need this? SOM(a learning algrithomn) outputs a hexagonal neuron network. I can get a distance map(U-Matrix, 2D matrix) from the trained model.

The hexbin funtion in matpyplot or jointplot(kind="hex") in seaborn only counts the frequency of each point. The input param is x and y. But what I have is a 2D Array with weights(or say, color depth, which I want to paint).

example, I don't konw how he implements it

#I have a csv file

! curl -O https://raw.githubusercontent.com/msu-cmse-courses/cmse202-S21-student/master/data/Dataset.data

import pandas as pd

#I read it in.

data = pd.read_csv("Dataset.data", header = None)

data = pd.read_csv("Dataset.data", delimiter=' ', header = None)

#Now I want to add column titles to the file so I add them

data.columns = ['sex','length','diameter','height','whole_weight','shucked_weight','viscera_weight','shell_weight','rings'] print(data)

#Now I want to grab the x variable column 'shell_weight' and the y variable column 'rings' And I want to graph them as a histogram using plt.hexbin.

df = pd.DataFrame(data)

plt.hexbin(x='shell_weight', y='rings')

For Some reason when I graph the code it says First argument must be a sequence and is not working.

Can anyone help me graph these 2 variables. Thanks.

I've been trying to figure this out for quite a while, but can't seem to get it. I have the following shot_df that consists of x and y coordinates for a given basketball shot, and whether or not it was made. Here is a sample of my data:

I have a dataframe with two columns (f1 and f2). You can create a sample dataframe using:

I want to build a graph that will look like this, - for each point I have a single value and there is a maximum that reaches the border. All I can find is how to have hexbin in a scatterplot with seaborn or similar - any ideas, is there some ready solution maybe or I would need to code my way through it?

I am making hexbin plots using the following Python script:

I've got some code similar to this

I am attempting to draw a jointplot style chart using two categorical variables, e.g. from the Adult data-set.

I am using a heatmap instead of hexbin because the later doesn't allow x-axis to be categorical.

Two problems occur ... the axes look misaligned although the joint by itself and the marginals by themselves look fine. The second (and probably related) is that the x-axis of the joint part disappears.

Here is (part) of my code.