when i am using s parameter for bubble whole plot is red When using "s" parameter
# 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()
when s parameter is not used it shows constant bubble size but i want bubble size to be dependent on population when s parameter is not used it doesn't show red
# 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()