How to plot the graph using hist() function of matplotlib for "binned data"

Question

0.00/5 (No votes)

See more:

I am new in matplotlib. I have data binned data.

Python

Level              Quantity
    0      (199.533, 271.74]  (10.213, 39.4]
    1      (199.533, 271.74]  (10.213, 39.4]
    2      (54.903, 127.327]  (10.213, 39.4]
    3     (127.327, 199.533]  (10.213, 39.4]
    4     (127.327, 199.533]  (10.213, 39.4]
    ...                  ...             ...
    5105   (54.903, 127.327]  (10.213, 39.4]
    5106   (54.903, 127.327]    (39.4, 68.5]
    5107   (54.903, 127.327]  (10.213, 39.4]
    5108  (127.327, 199.533]  (10.213, 39.4]
    5109   (54.903, 127.327]  (10.213, 39.4]

I want to make 2 histogram graph named "Level" and "Quantity" of each bin of "Equal width".I have tried this

Python

import pandas as pd
import matplotlib.pyplot as plt

# Sample binned data for the two variables (Level and Quantity)
data = {
    'Level': ['(199.533, 271.74]', '(199.533, 271.74]', '(54.903, 127.327]', '(127.327, 199.533]', '(127.327, 199.533]'],......
    'Quantity': ['(10.213, 39.4]', '(10.213, 39.4]', '(10.213, 39.4]', '(10.213, 39.4]', '(10.213, 39.4]'],......
}

df_binned = pd.DataFrame(data)


plt.hist([df_binned['Level'], df_binned['Quantity']], bins=10, edgecolor='black', alpha=0.7, label=df_binned.columns)
plt.legend()
plt.title('Stacked Histograms of Binned Variables')
plt.xlabel('Bins')
plt.ylabel('Frequency')
plt.show()

What I have tried:

It is not reading the bins in plt.hist() function

Python

df_binned['Level']

df_binned['Quantity']

How i cann plot binned data?
How to prepare the data for making histogram graph?

Posted 19-Jul-23 8:36am

Member 8840306

Updated 21-Jul-23 5:57am

Add a Solution

Comments

Member 8840306 20-Jul-23 0:51am

"Histogram work on raw data points, not binned data" .Now the question is how should we prepare binned data for histogram ? –

2 solutions

Add a Solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Gerry Schmitz · Answer 1 · 2023-07-20T06:10:00

Solution 1

"Binned data" would only chart if you include "counts".

Binned data are numbers converted to text categories; which don't chart in themselvs. e.g. what are the "height ranges" (short, average, tall).

How many of each? (i.e. how many "data points" fell within each range.) That's what you can chart.

Posted 20-Jul-23 6:10am

Gerry Schmitz

Comments

Member 8840306 21-Jul-23 1:09am

Kindly provide the code snippet to solve this situation?

[no name] 21-Jul-23 12:34pm

Your response indicates you still don't understand what "binning" is. How is anybody supposed to know what your numbers represent? Ages? Weights? Heights? You say you have "binned data" ... I'm telling you, you don't.

Member 8840306 · Answer 2 · 2023-07-21T05:57:00

Solution 2

Here we need data preparation

Python

df_binned = pd.DataFrame(data)
df_binned['Level']   = df_binned['Level'].dtype(str)
df_binned['Quantity']=df_binned['Quantity'].dtype(str)

Posted 21-Jul-23 5:57am

Member 8840306