Python-科学计算-seaborn-02-热力图

df_1

["p1", "p2", "p3", "p4"]

import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

dict_1 = {
    "p1": [0.5, 0.8, 1.0, 1.2, 1.5, 2.5, 0.9, 0.6, 1.3, 1.0,
           1.3, 1.6, 1.9, 2.5, 4.2, 3.5, 2.2, 1.2, 1.5, 0.5],
    "p2": [1.3, 2.8, 1.3, 1.4, 6.5, 2.5, 0.9, 0.6, 1.3, 1.0,
           1.3, 1.6, 1.9, 2.5, 4.2, 3.5, 1.2, 1.2, 3.5, 2.5],
    "p3": [2.5, 0.8, 1.3, 1.2, 1.5, 2.8, 1.9, 0.6, 1.3, 1.1,
           1.3, 1.6, 1.1, 2.5, 4.2, 3.9, 2.2, 1.2, 1.5, 0.5],
    "p4": [2.5, 0.8, 1.3, 1.2, 1.5, 3.8, 1.9, 0.6, 1.3, 1.1,
           1.3, 1.6, 1.1, 2.5, 4.2, 3.9, 2.2, 1.2, 1.5, 0.5]
}

df_1 = pd.DataFrame(dict_1, columns=["p1", "p2", "p3", "p4"])
print(df_1)

sns.set(style="ticks", color_codes=True)
sns.heatmap(df_1, linewidths=0.05, linecolor='yellow', vmin=0, vmax=5, annot=True)
plt.show()

sns.heatmap

sns.heatmap(df_1, linewidths=0.05, linecolor='yellow', vmin=0, vmax=5, annot=True)

cmap

sns.heatmap(df_1, linewidths=0.05, linecolor='yellow', vmin=0, vmax=5, annot=True, cmap="hot_r")

cmap

cmap="hot_r"

cmap="YlGnBu"