Python 以不同颜色设置散点图的1点

我有一个像这样的散点图

f,ax=plt.subplots()
ax.scatter(keyByte0To255,highestCorrVector)
ax.set_title('Key: ' + hex(getIndex))
ax.set_ylabel('Correlation Value')
ax.set_xlabel('Hypothesis 0-255')

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如何设置红色0.5的最高值？

在黑暗中拍摄时，可以重新绘制点：

f,ax=plt.subplots()
ax.scatter(keyByte0To255,highestCorrVector)

# find the point
idx = np.argmax(highestCorrVector)
ax.scatter(keyByte0To255[idx], highestCorrVector[idx], c='red')

ax.set_title('Key: ' + hex(getIndex))
ax.set_ylabel('Correlation Value')
ax.set_xlabel('Hypothesis 0-255')

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在黑暗中拍摄，您可以重新绘制点：

f,ax=plt.subplots()
ax.scatter(keyByte0To255,highestCorrVector)

# find the point
idx = np.argmax(highestCorrVector)
ax.scatter(keyByte0To255[idx], highestCorrVector[idx], c='red')

ax.set_title('Key: ' + hex(getIndex))
ax.set_ylabel('Correlation Value')
ax.set_xlabel('Hypothesis 0-255')

或使用cmap：

import matplotlib.pyplot as plt

x_values = [20, 19, 16, 12, 19, 18, 22, 14]
y_values = [1, 0.91, 0.77, 0.67, 0.85, 0.78, 1.05, 0.63]

maxx = max(y_values)

marker_colors = [100 if el == maxx else 0 for el in y_values ]
plt.scatter(x_values, y_values, c=marker_colors, cmap='bwr')

plt.colorbar()

plt.show()

或使用cmap：

import matplotlib.pyplot as plt

x_values = [20, 19, 16, 12, 19, 18, 22, 14]
y_values = [1, 0.91, 0.77, 0.67, 0.85, 0.78, 1.05, 0.63]

maxx = max(y_values)

marker_colors = [100 if el == maxx else 0 for el in y_values ]
plt.scatter(x_values, y_values, c=marker_colors, cmap='bwr')

plt.colorbar()

plt.show()

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谢谢您的帮助！谢谢你的帮助！