coreyjwade

# Create dataFrame, df_confirmed, of 10 countries with most confirmed cases
df_recovered = df.sort_values(by='Recovered', ascending=False)[:10]

# Convert index of countries to series for plotting
x_vals = df_recovered.index.to_series()

# Select 'Confirmed' column as y-values
y_vals = df_recovered['Recovered']

coreyjwade

# Import matplotlib
import matplotlib.pyplot as plt

# Import seaborn
import seaborn as sns

# Set dark grid
sns.set()

# Convert index of countries to series for plotting

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# Title plot
plt.title('Coronavirus Recoveries through May 7, 2020', size=15)

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# Create horizontal bar plot
sns.barplot(x=x_vals, y=y_vals, palette='Greens_r')

coreyjwade

# Create horizontal bar plot
sns.barplot(x=x_vals, y=y_vals, palette='Greens_r')

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# Set size of figure
plt.figure(figsize=(16,9))

coreyjwade

# Convert index of countries to series for plotting
y_vals = df_recovered.index.to_series()

# Select 'Recovered' column as y-values
x_vals = df_recovered['Recovered']

coreyjwade

# Import matplotlib
import matplotlib.pyplot as plt

# Import seaborn
import seaborn as sns

# Set dark grid
sns.set()

coreyjwade

# Import matplotlib
import matplotlib.pyplot as plt

# Create bar chart
plt.bar(x_vals, y_vals)

# Show graph
plt.show()

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# Choose relevant columns
df = df[['Confirmed', 'Deaths', 'Recovered', 'Active']]