TOP 10 Dataframe + Bar plot

Question

i would like to:

Store in a director series all the directors present in the director column of df.
Display in a horizontal bar graph the 10 most present directors in the catalogue.

Do I need to make a value.count first ? To set the top 10 before creating the plt.bar ?

# divided the director name

df['director'].str.split(',', expand=True).stack().reset_index(drop=True)

Asked By: user15445043

||

Source

Answer 1

You can create a countplot and use the order= parameter to select the 10 highest counts:

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

# directors = df['director'].str.split(',', expand=True).stack().reset_index(drop=True)

np.random.seed(123456)
directors = pd.Series(np.random.choice(
    ['Allen', 'Almodóvar', 'Bergman', 'Buñuel', 'Chaplin', 'Eastwood', 'Fassbinder', 'Fellini', 'Hitchcock', 'Keaton',
     'Kubrick', 'Polanski', 'Renoir', 'Scorsese', 'Spielberg', 'Welles', 'Wenders', 'Wilder'], 200), name='Director')
ax = sns.countplot(y=directors, order=directors.value_counts().iloc[:10].index, palette='rocket')
ax.tick_params(axis='y', length=0)
plt.tight_layout()
plt.show()

Answered By: JohanC

Answer 2

c. Top 10 recovered countries (Bar plot)

top10_recovered = pd.DataFrame(data.groupby(‘Country’)[‘Recovered’].sum().nlargest(10).sort_values(ascending = False))
fig3 = px.bar(top10_recovered, x = top10_recovered.index, y = ‘Recovered’, height = 600, color = ‘Recovered’,
title = ‘Top 10 Recovered Cases Countries’, color_continuous_scale = px.colors.sequential.Viridis)
fig3.show()

Answered By: M. Karthika

TOP 10 Dataframe + Bar plot

Question:

Answers:

c. Top 10 recovered countries (Bar plot)