Question

这是我的代码：

import pandas
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches

%matplotlib inline

pandas.set_option ('max_columns',10)

df= pandas.read_csv('C:/Users/HP/Desktop/Coding/Python/2.Python Data Analysis/Module 2- Python Data Visualization/M2-Bubble Chart with Labels and Legend data.csv')

plt.scatter(x=df['GDP per Capita'],y=df['Life Span'],s=df['Population']/1000, alpha=0.5, c=df['Bubble color'])
            #alpha at 0.5 to set the transparency 



#chart title, axis labels 
plt.title('GDP,Lifespan,Population (Bubble size)')
plt.xlabel(' GDP')
plt.ylabel('Lifespan')

#bubble labels 
x,y= df['GDP per Capita'],df['Life Span']
for i, txt in enumerate (df['Territory']):
    plt.annotate(txt,(x[i],y[i]))
    print(i,txt,x[i],y[i],df['Population'][i],df['Bubble color'][i])
#annotate: is used to assign the population with the chart sp have from text, the x and y will be the next one 
#it will print out the index number with the one that assigned with it as well 


#legend 
territory_list=list(df['Territory'])
bubble_color_list = list(df['Bubble color'])
l = []
for i in range (0,len(df.index)):
        l.append(mpatches.Patch(color=bubble_color_list[i],
                               alpha=0.5,
                               label=territory_list[i]))





plt.legend(handles=1,loc=(2,0))   
#the i is in the For loop is just basically like the one above to have all the information

我希望为其生成带有图例的气泡图，但不知何故它不会像预期的那样仅显示图例，然后显示此消息。

`TypeError: 'int' object is not iterable`

我在做什么错了？

Answer 1

您不能在result = [] for check_list in sl: if not any(contains_list(check_list, source_list) for source_list in l) result.append(check_list) print(result)中拥有handles=1。

plt.legend(handles=1,loc=(2,0))必须是容器，例如列表，元组等...

不仅如此，而且整数容器也是不可接受的。不要写handles

以下代码显示了如何正确调用handles=[1, 2, 3]方法：

legend

Python气泡图图例-TypeError

1 个答案: