import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.title("Simple Line Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()

from glyphx import plot

plot(x=[1, 2, 3], y=[4, 5, 6],
kind="line", title="Simple Line Plot",
xlabel="X Axis", ylabel="Y Axis")

import matplotlib.pyplot as plt
plt.bar(["A", "B", "C"], [5, 3, 7])
plt.title("Bar Chart")
plt.xlabel("Categories")
plt.ylabel("Values")
plt.show()

from glyphx import plot

plot(x=["A", "B", "C"], y=[5, 3, 7],
kind="bar", title="Bar Chart",
xlabel="Categories", ylabel="Values")

import matplotlib.pyplot as plt
plt.scatter([1, 2, 3, 4], [4, 1, 3, 5])
plt.title("Scatter Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()

from glyphx import plot

plot(x=[1, 2, 3, 4], y=[4, 1, 3, 5],
kind="scatter", title="Scatter Plot",
xlabel="X Axis", ylabel="Y Axis")

import matplotlib.pyplot as plt
labels = ["A", "B", "C"]
sizes = [30, 45, 25]
plt.pie(sizes, labels=labels)
plt.title("Pie Chart")
plt.show()

from glyphx import plot

plot(data=[30, 45, 25],
kind="pie", labels=["A", "B", "C"],
title="Pie Chart")

from glyphx import Figure, series, themes
fig = Figure(rows=2, cols=2, theme=themes["dark"])
ax1 = fig.add_axes(0, 0)
ax1.add(series.LineSeries([1, 2], [3, 4], label="Line"))
ax1.legend_pos = "right"
ax2 = fig.add_axes(1, 0)
ax2.add(series.ScatterSeries([1, 2, 3, 4], [4, 1, 3, 5], label="Scatter"))
ax2.legend_pos = "right"
ax3 = fig.add_axes(0, 1)
ax3.add(series.BarSeries(x=["A", "B", "C"], y=[5, 3, 7], label="Bar"))
ax3.legend_pos = "right"
ax4 = fig.add_axes(1, 1)
ax4.add(series.PieSeries(values=[30, 45, 25], labels=["A", "B", "C"]))
fig.plot()

import matplotlib.pyplot as plt
import numpy as np
fig, axs = plt.subplots(2, 2, figsize=(10, 8))
axs[0, 0].plot([1, 2], [3, 4])
axs[0, 0].set_title("Line")
axs[1, 0].scatter([1, 2, 3, 4], [4, 1, 3, 5])
axs[1, 0].set_title("Scatter")
axs[0, 1].bar(["A", "B", "C"], [5, 3, 7])
axs[0, 1].set_title("Bar")
axs[1, 1].pie([30, 45, 25], labels=["A", "B", "C"])
axs[1, 1].set_title("Pie")
plt.tight_layout()
plt.show()