Hi Data Visulization Experts!
I\'m trying to plot this graph hand-drawn example here in python.
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Without the data I cannot assist in plotting it, but you can solve it via Python by following the examples at:
https://matplotlib.org/gallery/units/bar_demo2.html?highlight=bar
^ You can perhaps have each bar chart on a separate subplot?
If your input is multiple sets of data you can look into maybe a multiple dataset histogram at
https://matplotlib.org/gallery/statistics/histogram_multihist.html?highlight=hist
^ If you want to have the first column of all categories next to each other, then the second bar, etc..
Perhaps you would prefer just a standard histogram though:
https://matplotlib.org/gallery/statistics/histogram_features.html?highlight=hist
It really depends on what you are trying to emphasize from your data
@EDIT
Here is a Python program to plot your information! You can easily adjust the width (I commented out a way to set the width to cover the empty gaps, but its slightly off) and to plot a line I would use width = 0.01
import matplotlib.pyplot as plt
import numpy as np
data = {0: [4, 8, 6],
1: [2, 4, 3, 6],
2: [3, 6],
3: [10, 3, 8, 6, 10, 12]}
fig, ax = plt.subplots(tight_layout=True)
for key, values in data.items():
ind = np.arange(key, key + 1, 1/len(data[key]))
width = 0.1 # 1/len(data[key])
ax.bar(ind + width/len(values), data[key], width, align='center', label="Category {}".format(key + 1))
ax.xaxis.set_ticks([])
ax.set_xticklabels(' ')
ax.legend()
ax.set_ylabel('Some vertical label')
plt.title('My plot for Stack Overflow')
plt.show()
This outputs: Which I think is what you're looking for. This may not be a perfect solution, but I think it showcases the methodology used to make such plots :). If this solution solved your problem, I would appreciate if you could click the check mark by my post to accept it as the answer you were looking for!