Matplotlib দিয়ে চার্ট

import matplotlib.pyplot as plt

epochs = list(range(1, 11))
train_loss = [2.30, 1.65, 1.21, 0.95, 0.80, 0.70, 0.63, 0.58, 0.55, 0.53]
val_loss   = [2.35, 1.75, 1.36, 1.14, 1.03, 0.98, 0.97, 0.99, 1.04, 1.10]

fig, ax = plt.subplots(figsize=(8, 4.5))
ax.plot(epochs, train_loss, marker="o", label="Training loss")
ax.plot(epochs, val_loss, marker="s", label="Validation loss")
ax.axvline(7, linestyle="--", color="gray")
ax.annotate("validation loss starts rising", xy=(7, 0.97), xytext=(7.3, 1.6),
            arrowprops={"arrowstyle": "->"})
ax.set_title("Training a model: loss per epoch")
ax.set_xlabel("Epoch")
ax.set_ylabel("Loss (lower is better)")
ax.legend()
ax.grid(alpha=0.3)
fig.tight_layout()
fig.savefig("loss.png", dpi=100)
print("Saved loss.png")

Saved loss.png

import matplotlib.pyplot as plt
import numpy as np

channels = ["chat", "phone", "email"]
avg_minutes = [11.7, 27.5, 65.0]

rng = np.random.default_rng(7)
response_lengths = rng.normal(loc=120, scale=35, size=500)   # words per AI answer

fig, (left, right) = plt.subplots(1, 2, figsize=(10, 4))

left.bar(channels, avg_minutes, color=["#4c72b0", "#dd8452", "#c44e52"])
left.set_title("Average minutes to resolve")
left.set_ylabel("Minutes")

right.hist(response_lengths, bins=25, color="#55a868", edgecolor="white")
right.set_title("Length of 500 AI answers")
right.set_xlabel("Words")
right.set_ylabel("How many answers")

fig.tight_layout()
fig.savefig("bar_hist.png", dpi=100)
print("Saved bar_hist.png")

Saved bar_hist.png

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("tickets.csv")
ax = df.groupby("category")["satisfaction"].mean().sort_values().plot(
    kind="barh", figsize=(7, 3), title="Average satisfaction by category", color="#8172b3"
)
ax.set_xlabel("Satisfaction (1–5)")
plt.tight_layout()
plt.savefig("satisfaction.png", dpi=100)
print("Saved satisfaction.png")

Saved satisfaction.png