【PYTHON】Making plots redundant

 sns.lineplot(data=gb, x='InvoiceDate', y='Total', hue='BillingCountry')

# saving figure for book

sns.lineplot(data=gb, x='InvoiceDate', y='Total', hue='BillingCountry')

plt.tight_layout()

plt.savefig('seaborn_lineplot_color.png', dpi=300)

# black and white redundancy

sns.lineplot(data=gb, x='InvoiceDate', y='Total', hue='BillingCountry', style='BillingCountry')

# save figure for book

sns.lineplot(data=gb, x='InvoiceDate', y='Total', hue='BillingCountry', style='BillingCountry')

plt.tight_layout()

plt.savefig('seaborn_lineplot_color_dashes.png', dpi=300)

pip install labellines

sns.lineplot(data=gb, x='InvoiceDate', y='Total', hue='BillingCountry', style='BillingCountry', dashes=[(2, 1), (5, 2), ''])

from labellines import labelLines

pip install matplotlib-label-lines

from labellines import labelLines

f = plt.figure()

ax = f.gca()

for country in top_3_countries:

  c_df = gb[gb['BillingCountry'] == country]

  ax.plot(c_df['InvoiceDate'], c_df['Total'], label=country)

labelLines(ax.get_lines())

plt.xlabel('Year')

plt.ylabel('Cumulative Sales ($)')

# save image for book

plt.tight_layout()

plt.savefig('seaborn_lineplot_labels.png', dpi=300)