【Python】ヒートマップをバブルチャートで示す方法【特許マップ】

import seaborn as sns
sns.heatmap(df)

pip install jupyterlab

jupyterlab

pip install pandas

pip install numpy

pip install matplotlib

pip install japanize-matplotlib

import pandas as pd

df = pd.read_csv('data.csv',index_col=0)
df

#リスト作成
list_1 = []
list_2 = []
list_3 = []

#リストにデータを格納
for i in range(len(df)):
    for j in range(len(df.columns)):
        list_1.append(df.index[i])
        list_2.append(df.columns[j])
        list_3.append(df.iloc[i,j])

#データフレーム化
list_1 = pd.DataFrame(list_1)
list_2 = pd.DataFrame(list_2)
list_3 = pd.DataFrame(list_3)

#連結
all_df = pd.concat([list_1,list_2,list_3],axis=1)
all_df

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.cm as cm
import japanize_matplotlib

#データをアサイン
x = all_df.iloc[:,1]
y = all_df.iloc[:,0]
sizes = all_df.iloc[:,2]
categories = list(set(y))

# 色マップを作成
colors = cm.rainbow(np.linspace(0, 1, len(categories)))
colors = {categories[i]: colors[i] for i in range(len(categories))}
colors = [colors[item] for item in y]

# 散布図を作成
fig, ax = plt.subplots()
plt.grid()   
ax.scatter(x, y, s=sizes, c=colors)

# 散布図に数値を表示
for i, txt in enumerate(sizes):
    ax.annotate(txt, (x[i], y[i]), textcoords="offset points", xytext=(1,1), ha='left', va='bottom')

#xラベルを60度回転
plt.xticks(rotation=60)

# 図を表示
plt.show()

# 色マップを作成
colors = cm.tab20c(np.linspace(0, 1, len(categories)))

# 色マップを作成
colors = cm.jet(np.linspace(0, 1, len(categories)))

# 色マップを作成
colors = cm.Pastel1(np.linspace(0, 1, len(categories)))