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matplotlib.pylotでグラフを描いてみた

Last updated at Posted at 2023-08-02

棒グラフ

import matplotlib.pyplot as plt
from matplotlib import style

# 棒グラフ
style.use("ggplot")
x = [1,3,5]
y = [4,5,1]

x2 = [2,4,6]
y2 = [6,3,2]
plt.bar(x,y, label='xy', color="green")
plt.bar(x2,y2, label='x2y2', color="blue")
plt.title("bar_chart")
plt.xlabel("X")
plt.ylabel("Y")

plt.legend()

plt.grid(True, color='blue')
plt.show()

bar_chart.png

ヒストグラム

import matplotlib.pyplot as plt

# ヒストグラム
x = [1,3,5,7,4,5,6,9]
y = [1,2,3,4,5,6,7,8]

plt.hist(x,y, histtype='bar', rwidth=0.8)
plt.title("Historgram")
plt.xlabel("X")
plt.ylabel("Y")

plt.legend()
plt.show()

Historgram.png

折れ線

import matplotlib.pyplot as plt
from matplotlib import style

# 折れ線
style.use("ggplot")
x = [1,2,3]
y = [4,5,1]

x2 = [1,2,3]
y2 = [6,3,2]
plt.plot(x,y, 'g', label='xy', linewidth=5)
plt.plot(x2,y2, 'r', label='x2y2', linewidth=5)
plt.title("line_chart")
plt.xlabel("X")
plt.ylabel("Y")

plt.legend()

plt.grid(True, color='blue')
plt.show()

line_chart.png

散布図

import matplotlib.pyplot as plt
from matplotlib import style

# 散布図
x = [1,3,5,7,4,5,6,9]
y = [1,2,3,4,5,6,7,8]

plt.scatter(x,y, label='position', color='g', s=25, marker='o')
plt.title("scatter plot")
plt.xlabel("X")
plt.ylabel("Y")

plt.legend()
plt.show()

scatter_plot.png

積み上げ折れ線グラフ

import matplotlib.pyplot as plt

# 積み上げ折れ線グラフ
days = [1,2,3,4,5]

study = [7,8,6,11,7]
eat = [2,3,4,3,2]
work = [7,8,7,2,2]
play = [8,5,7,8,13]

plt.plot([], [], color='m', label='S', linewidth=5)
plt.plot([], [], color='c', label='E', linewidth=5)
plt.plot([], [], color='r', label='W', linewidth=5)
plt.plot([], [], color='k', label='P', linewidth=5)

plt.stackplot(days, study, eat, work, play, colors=['m', 'c', 'r', 'k'])

plt.xlabel("Days")
plt.ylabel("Action")

plt.title("My workdays")
plt.legend()
plt.show()

stacked_line_chart.png

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