python - 为什么我在 python 中的散点图在使用“s”参数时全部显示为红色

Question

当我对气泡使用 s 参数时，整个图是红色 的 当使用“s”参数时

# Import numpy as np
import numpy as np

# Store pop as a numpy array: np_pop
np_pop = np.array(pop)

# Double np_pop
np_pop = np_pop*2

# Update: set s argument to np_pop
plt.scatter(gdp_cap, life_exp ,alpha = 0.8,color ='red', s = np_pop)

# Previous customizations
plt.xscale('log') 
plt.xlabel('GDP per Capita [in USD]')
plt.ylabel('Life Expectancy [in years]')
plt.title('World Development in 2007')
plt.xticks([1000, 10000, 100000],['1k', '10k', '100k'])

# Display the plot
plt.show()

当不使用 s 参数时，它显示恒定的气泡大小，但我希望气泡大小取决于人口 当不使用 s 参数时，它不显示红色

# Import numpy as np
import numpy as np

# Store pop as a numpy array: np_pop
np_pop = np.array(pop)

# Double np_pop
np_pop = np_pop*2

# Update: set s argument to np_pop
plt.scatter(gdp_cap, life_exp ,alpha = 0.8,color ='red')

# Previous customizations
plt.xscale('log') 
plt.xlabel('GDP per Capita [in USD]')
plt.ylabel('Life Expectancy [in years]')
plt.title('World Development in 2007')
plt.xticks([1000, 10000, 100000],['1k', '10k', '100k'])

# Display the plot
plt.show()

标签： pythonmatplotlibscatter-plot

Answer 1

尝试使用较小的np_pop：

np_pop = np_pop/5000 # or any other value that decrease the population(?)