0
1

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

More than 1 year has passed since last update.

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

0
1
1

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
0
1

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?