import seaborn as sns
import matplotlib.pyplot as plt

# Set theme (choose one)
sns.set_theme(style='darkgrid')   # Gray background with grid
sns.set_theme(style='whitegrid')  # White background with grid
sns.set_theme(style='dark')       # Gray background, no grid
sns.set_theme(style='white')      # White background, no grid
sns.set_theme(style='ticks')      # White with tick marks

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

df = pd.DataFrame({
    'x': range(10),
    'y': [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
})

themes = ['darkgrid', 'whitegrid', 'dark', 'white', 'ticks']

fig, axes = plt.subplots(1, 5, figsize=(20, 4))

for ax, theme in zip(axes, themes):
    sns.set_theme(style=theme)
    sns.lineplot(data=df, x='x', y='y', ax=ax)
    ax.set_title(theme)

plt.tight_layout()
plt.show()

# Set color palette
sns.set_palette('pastel')
sns.set_palette('husl')
sns.set_palette('Set2')
sns.set_palette('deep')

sns.barplot(data=df, x='x', y='y', palette='Blues')
sns.barplot(data=df, x='x', y='y', palette='Greens')
sns.barplot(data=df, x='x', y='y', palette='rocket')

# See color palette
sns.color_palette('Set2')
sns.palplot(sns.color_palette('Set2'))
plt.show()

# Method 1: Use matplotlib
plt.figure(figsize=(10, 6))
sns.barplot(data=df, x='x', y='y')

# Method 2: Use sns.set_theme
sns.set_theme(rc={'figure.figsize': (10, 6)})

sns.set_theme(font_scale=1.5)  # 1.5x larger fonts

sns.set_theme(
    style='whitegrid',
    palette='Set2',
    font_scale=1.2,
    rc={'figure.figsize': (10, 6)}
)

sns.reset_defaults()

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

# Set professional theme
sns.set_theme(
    style='whitegrid',
    palette='deep',
    font_scale=1.1
)

# Sample data
df = pd.DataFrame({
    'Quarter': ['Q1', 'Q2', 'Q3', 'Q4'],
    'Revenue': [100, 120, 115, 140],
    'Profit': [20, 25, 22, 35]
})

# Create chart
plt.figure(figsize=(10, 6))
ax = sns.barplot(data=df, x='Quarter', y='Revenue', color='steelblue')

# Add title and labels
ax.set_title('Quarterly Revenue', fontsize=16, fontweight='bold')
ax.set_xlabel('Quarter', fontsize=12)
ax.set_ylabel('Revenue ($M)', fontsize=12)

# Remove top and right spines
sns.despine()

plt.tight_layout()
plt.show()