Matplotlib散点图报错ValueError: s must be a scalar问题求助

你绘制散点时传入的x、y轴数据是经过home_team[home_team['Result']!='Goal']/away_team[away_team['Result']!='Goal']过滤后的子集，而s参数直接传入了未过滤的全量home_team['xG']/away_team['xG']，二者长度不匹配，因此触发该报错。

• 方案1（更推荐）：先提前提取过滤后的统一子集，再分别调用对应字段，避免重复过滤出现维度不一致问题

# 提取主队非进球射门子集
home_non_goal = home_team[home_team['Result']!='Goal']
plt.scatter(home_non_goal['x-coordinate']*120, 
            home_non_goal['y-coordinate']*80, 
            c = '#ea6969', 
            s=home_non_goal['xG']) 

# 提取客队非进球射门子集
away_non_goal = away_team[away_team['Result']!='Goal']
plt.scatter(120 - away_non_goal['x-coordinate']*120, 
            away_non_goal['y-coordinate']*80, 
            c = 'yellow', 
            s=away_non_goal['xG'])

• 方案2：不单独声明子集变量，在s参数位置同步添加过滤条件，保证和x、y维度匹配

plt.scatter(home_team[home_team['Result']!='Goal']['x-coordinate']*120, 
            home_team[home_team['Result']!='Goal']['y-coordinate']*80, 
            c = '#ea6969', 
            s=home_team[home_team['Result']!='Goal']['xG']) 

plt.scatter(120 - away_team[away_team['Result']!='Goal']['x-coordinate']*120, 
            away_team[away_team['Result']!='Goal']['y-coordinate']*80, 
            c = 'yellow', 
            s=away_team[away_team['Result']!='Goal']['xG'])

可选优化：由于xG数值普遍处于0_{1区间，直接作为散点尺寸参数会导致点过小难以观察，可根据实际显示需求给s参数乘以100}2000范围的放大系数，调整散点到合适大小。

内容的提问来源于stack exchange，提问作者needhelpwithcoding