Custom histogram plotting

Hi @marcomusy,

I am trying to follow the example from here in order to plot a similar to the following histogram graph:

However, I am not sure whether it is possible to have the range of the bins given. I’ve tried the following but didn’t really work:

import os
import numpy as np
import pandas as pd
import vedo as vd
from vedo.pyplot import histogram, plot, settings

LUX_BINS = [100, 250, 500, 750, 1000, 2000, 5000, 10000]

data = pd.read_csv("ls_room_999.csv", header=None, delimiter=',', low_memory=False).to_numpy(dtype='float')

cluster_ids_x = np.digitize(data[:,4].reshape(-1, 1), LUX_BINS)
classes, class_counts = np.unique(cluster_ids_x, return_counts=True)
points_percentage = class_counts * 100 / cluster_ids_x.size

plt = histogram(data[:, 4], title="hist", bins=LUX_BINS, density=False, c='cyan3', aspect=8 / 7)
plt.show(size=(800, 700), zoom=1.2, interactorStyle="Image").close()

Is it possible to have the ranges of the bins given and accordingly apply it to the hist?

Thanks.

ls_room_999.csv

[ttsesm]

Νοpe, please feel free.

(I will close this now)

[marcomusy]

You should educate them LOL Would you mind if I add a simplified version of this among the pyplot examples?