import matplotlib.pyplot as plt

# Set global font properties
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.size'] = 10
plt.rcParams['font.weight'] = 'normal'
plt.rcParams['font.style'] = 'italic'

# Create sample data and plot
x = [2, 3, 4, 6]
y = [9, 2, 4, 7]

plt.plot(x, y)
plt.xlabel("X-axis Label")
plt.ylabel("Y-axis Label")
plt.title("Plot with Global Font Settings")

# Display the plot
plt.show()

import matplotlib.pyplot as plt

# Create sample data and plot
x = [2, 3, 4, 6]
y = [9, 2, 4, 7]

plt.plot(x, y)

# Customize font properties for labels and title
plt.xlabel('X-axis Label', fontsize=14, fontweight='bold', fontstyle='italic', color='blue')
plt.ylabel('Y-axis Label', fontsize=14, fontweight='bold', fontstyle='normal', color='darkgreen')
plt.title("Customized Font Settings for Individual Elements", fontsize=16, fontweight='bold')

# Display the plot
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.linspace(-5, 5, 100)
y = np.cos(x)

plt.plot(x, y)

# Set title with different font sizes and bold text using LaTeX syntax
plt.title(r"$\bf{y=cos(x)}$ with $\it{varying\ font\ styles}$", fontsize=14) # Example uses bold and italic via latex
plt.axis('off') # Hide axes for this example

plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.linspace(-2, 2, 100)
y = np.exp(x)

plt.plot(x, y, label="y=exp(x)", c='red')

# Get the legend object and modify its text elements
leg = plt.legend(loc='upper left')
for text in leg.get_texts():
    text.set_color("green") # Set the color of each text element in the legend

plt.title("Legend with Custom Text Color")
plt.show()

import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

# Update default font colors for all text and specifically for axes labels
plt.rcParams.update({
    'text.color': "navy",         # Default color for all text
    'axes.labelcolor': "forestgreen", # Color for x and y axis labels
    'axes.titlecolor': "darkred"      # Color for plot titles
})

# Display default text color (for demonstration)
print("Default text color set to:", plt.rcParams['text.color'])
print("Axes label color set to:", plt.rcParams['axes.labelcolor'])
print("Axes title color set to:", plt.rcParams['axes.titlecolor'])

# Create a plot with the updated defaults
plt.title("Title with Custom Color")
plt.xlabel("X-axis Label with Custom Color")
plt.ylabel("Y-axis Label with Custom Color")

# Display the plot
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.linspace(-2, 2, 10)
y = np.sin(x)

fig, ax = plt.subplots()
ax.plot(x, y, c='red', lw=5)

# Set tick label font size and rotation for the x-axis
for tick in ax.xaxis.get_major_ticks():
    tick.label.set_fontsize(14)
    tick.label.set_rotation('45')

# Set tick label font size for the y-axis
for tick in ax.yaxis.get_major_ticks():
    tick.label.set_fontsize(12)

ax.set_title("Axis Ticks with Custom Font Size and Rotation")
plt.tight_layout() # Adjust layout to prevent labels overlapping
plt.show()

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

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Create sample data
df = pd.DataFrame(dict(
    number=[2, 5, 1, 6, 3],
    count=[56, 21, 34, 36, 12],
    select=[29, 13, 17, 21, 8]
))

# Create bar plots using Seaborn
sns.barplot(x='number', y='count', data=df, label="count", color="red")
sns.barplot(x='number', y='select', data=df, label="select", color="green")

# Set legend font size
plt.legend(loc="upper right", frameon=True, fontsize=16) # Increased fontsize

plt.title("Seaborn Plot with Larger Legend Font")
plt.show()