ম্যাটপ্লটলিব

import matplotlib.pyplot as plt

plt.plot(
    [1, 2, 3, 4],
    [2, 5, 3, 8],
    color="pink"
)

plt.show()

import matplotlib.pyplot as plt

data = {
    "নাম": ["সাকিব", "তানিম", "তায়িফ"],
    "নাম্বার": [80, 65, 90]
}

plt.bar(
    data["নাম"],
    data["নাম্বার"],
    color=["red", "green", "blue"]
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.colors import Colormap

result = plt.get_cmap("viridis")

print(isinstance(result, Colormap))

import matplotlib.pyplot as plt
from matplotlib.colors import Normalize

numbers = [10, 20, 30, 40, 50]

normalize = Normalize(
    vmin=min(numbers),
    vmax=max(numbers)
)

result = normalize(30)

print(result)

import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap

colors = [
    "red",
    "green",
    "blue"
]

cmap = ListedColormap(colors)

plt.scatter(
    [1, 2, 3],
    [3, 2, 4],
    c=[0, 1, 2],
    cmap=cmap
)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap

cmap = LinearSegmentedColormap.from_list(
    "custom",
    ["blue", "white", "red"]
)

plt.scatter(
    [1, 2, 3, 4],
    [2, 5, 3, 8],
    c=[10, 20, 30, 40],
    cmap=cmap
)

plt.colorbar()

plt.show()