Visualizing data in python

Question

In the data set I am trying to make a bar graph on top 10 artists that have the highest number of songs in top 500 songs of all time. I have the result, however I am unable to visualize it. I need to make a bar graph of the output that I am getting from this code. Can someone tell what code should I add to make a bar graph of the output. I imported pandas, seaborn and matplot, just need help with the code.

counts = dict()
for artists in my_data['artist']:
    counts[artists] = counts.get(artists, 0) + 1

def keyfunction(k):
    return counts[k]

plt.figure(figsize = (10, 30))
plt.title("Greatest Artists of All Time")
data = dict()

for key in sorted(counts, key=keyfunction, reverse=True)[:10]:
    print(key, counts[key])

Need to make a bar plot of the following output

Elton John 18
The Beatles 16
Elvis Presley 12
The Jimi Hendrix Experience 12
The Four Tops 10
Muddy Waters 8
Sam Cooke 8
The Clash 8
U2 8
The Isley Brothers 8

kennysliding · Accepted Answer · 2020-11-19 07:58:30Z

1

You may do it like this,

import numpy as np
import matplotlib.pyplot as plt

# I assumed your counts is a dictionary
counts = {
    "Elton John": 18,
    "The Beatles": 16,
    "Elvis Presley": 12,
    "The Jimi Hendrix Experience": 12,
    "The Four Tops": 10,
    "Muddy Waters": 8,
    "Sam Cooke": 8,
    "The Clash": 8,
    "U2": 8,
    "The Isley Brothers": 8
}

y_pos = np.arange(len(counts))

# Create bars
plt.bar(y_pos, counts.values())

# Create names on the x-axis
plt.xticks(y_pos, counts.keys())

# Show graphic
plt.show()

answered Nov 19, 2020 at 7:58

kennysliding

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Ruthger Righart · Accepted Answer · 2020-11-19 08:41:20Z

0

There is another way that I'd like to show. If you prefer Matplotlib go with the solution provided by @Burning Alcohol.

import pandas as pd
counts = {
    "Elton John": 18,
    "The Beatles": 16,
    "Elvis Presley": 12,
    "The Jimi Hendrix Experience": 12,
    "The Four Tops": 10,
    "Muddy Waters": 8,
    "Sam Cooke": 8,
    "The Clash": 8,
    "U2": 8,
    "The Isley Brothers": 8
}

Create a DataFrame from the dictionary.

df = pd.DataFrame.from_dict([counts])

The following gives a barplot with a legend outside the box.

axes = df.plot.bar()
axes.legend(bbox_to_anchor=(1,1))

Another way is to put the labels in the x-axis. We first transpose the DataFrame.

tdf = df.T.reset_index()
tdf.columns = ['Artist', 'Counts']

And finally the plot.

tdf.plot.bar(x='Artist', y='Counts')

edited Nov 19, 2020 at 8:41

answered Nov 19, 2020 at 8:30

Ruthger Righart

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