よくある matplotlib で plot してそれを保存する方法：heatmap/300 dpi/png

plot_settings.py

import seaborn as sns
import matplotlib.pyplot as plt


# load data
x_ticks = np.linspace(0, 1, 10)
y_ticks = np.linspace(0, 1, 10)

# ちなみに save は np.save("data_matrix.npy", data_matrix) みたいなかんじで
data_matrix = np.load("data_matrix.npy")
data_sequence = np.load("data_sequence.npy")

# setup
sns.set()
sns.set_context("talk")
plt.figure(figsize=(6, 5), dpi=300)

PLOT_TYPE = "heat_map"

if PLOT_TYPE == "heat_map":
  # ヒートマップの例
  # 参考：https://pod.hatenablog.com/entry/2018/09/20/212527
  ax = sns.heatmap(data_matrix,
                   cmap="jet",  # Reds, Blues, CMRMap, coolwarm
                   vmin=0.,
                   vmax=1.,
                   square=True,
                   xticklabels=x_ticks.round(2),
                   yticklabels=y_ticks.round(2))
  
  ax.set_ylabel("red")
  ax.set_xlabel("blue")
  ax.invert_yaxis()

  # color bar の数字をいじりたい時
  cbar = ax.collections[0].colorbar
  cbar.set_ticks([0, .2, .75, 1])

else:
  # plot + scatter の例
  # 参考：https://pythondatascience.plavox.info/matplotlib/%E6%95%A3%E5%B8%83%E5%9B%B3
  plt.plot(x_ticks, data_sequence, "b");
  plt.scatter(x=x_ticks, y=data_sequence, c="b", s=5, marker="o")

# 書き出し
plot.figure.savefig('sample.eps',
                    bbox_inches='tight')  # 書き出した図が切れなくなる 

plt.axis('tight')

も効果的。
tickを消すには

plt.axis('off')

で全て消す。部分的に消すには

plt.tick_params(
    axis='x',          # changes apply to the x-axis
    which='both',      # both major and minor ticks are affected
    bottom=False,      # ticks along the bottom edge are off
    top=False,         # ticks along the top edge are off
    labelbottom=False) # labels along the bottom edge are off

簡単にするには

plt.xticks([], [])

from: https://stackoverflow.com/questions/12998430/remove-xticks-in-a-matplotlib-plot