plotlyで作るインタラクティブで高品質なグラフ｜Pythonでデータを可視化する

pip install plotly

import  plotly.express  as  px 

import plotly.express as px
import numpy as np
import random

x = np.random.rand(100)
y = np.random.rand(100)

fig = px.scatter(x=x, y=y)
fig.show()

import plotly.express as px
import numpy as np
import random

x = np.random.rand(100)
y = np.random.rand(100)
col = np.random.randint(0, 10, 100)
size = np.random.rand(100) * 5

# 色を連続値（グラデーション）にする
fig = px.scatter(x=x, y=y, size=size, color=col)
fig.show()

# 色を離散値にし、色毎のシンボルも変更する
col = [str(x) for x in col]
size = [1 for _ in range(100)]
fig = px.scatter(x=x, y=y, color=col, symbol=col, size=size)
fig.show()

import plotly.express as px
import numpy as np
import random

x = np.array([i/10 for i in range(100)])
y = x**2

fig = px.line(x,y=y, title="y=x^2", markers=True)
fig.show()

import plotly.express as px
import random

x = [i/10 for i in range(100)]
x += x
y = [i/10 for i in range(100)]
y += [(i/10)**2 for i in range(100)]
col = [i//100 for i in range(200)]


fig = px.line(x=x,y=y, color=col)
fig.show()

import plotly.graph_objects as go
import numpy as np
import random

x = np.array([i/10 for i in range(100)])
y1 = x
y2 = x**2

fig = go.Figure()
# Create and style traces
fig.add_trace(go.Scatter(x=x, y=y1, name="y = x", line=dict(color='red', width=3)))
fig.add_trace(go.Scatter(x=x, y=y2, name="y = x^2", line=dict(color='blue', width=3, dash='dot')))

fig.show()

import plotly.express as px

x = ['a','b','c','d']
y = [1,2,3,4]
fig = px.bar(x=x, y=y)
fig.show()

import plotly.express as px
import numpy as np

y = np.random.randn(100)

fig = px.box(y=y)
fig.show()

import plotly.express as px
import numpy as np

x = np.random.randn(1000)

fig = px.histogram(x=x)
fig.show()

import plotly.express as px

x = []
y = []
t = []

for i in range(0, 10) :
    t += [i for _ in range(100)]
    xt = [j for j in range(100)]
    x += xt
    y += [i*e for e in xt]

fig = px.line(x=x, y=y, animation_frame=t, markers = True,
           range_x=[0, 100], range_y=[0, max(y)])
fig.show()

fig.write_image("hoge.png")

fig.write_html("hoge.html")