Question

=“”

在散点图上尝试使用不同颜色绘制离群值时，我遇到了以下错误：

TypeError：无法从中强制转换数组数据 dtype（'U1'）到dtype（'float64'）根据“安全”规则

我的代码：

import statsmodels.api as sm
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

CRP = pd.read_csv('CarsProp.csv')

priceMean = CRP.price.mean()
priceStd = CRP.price.std()   

CRP['isOutlierPrice'] = np.nan
testColumn1 = abs(CRP.price - priceMean) > 2*priceStd

for i, value in enumerate(testColumn1):
    if value == True:
        CRP['isOutlierPrice'][i] = 1

mileageMean = CRP.mileage.mean()
mileageStd = CRP.mileage.mean()

CRP['isOutlierMileage'] = np.nan
testColumn2 = abs(CRP.mileage - mileageMean) > 2*priceStd

for i, value in enumerate(testColumn2):
    if value == True:
        CRP['isOutlierMileage'][i] = 1

outlierPmsJoint = ((CRP['isOutlierPrice'] == 1) | (CRP['isOutlierMileage'] == 1))

colorChoiceDict = {True: (1.0, 0.55, 0.0, 1.0), 
              False: (0.11, 0.65, 0.72, 0.1)}

colorCol = [colorChoiceDict[val] for val in outlierPmsJoint]

PriceFloat = [float(val) for val in CRP.price]
MileageFloat = [float(val) for val in CRP.mileage]

plt.figure()
plt.scatter(PriceFloat, MileageFloat, c = colorCol, linewidth='0')
plt.set_title('Price vs. Mileage with outliers')

有人知道问题在哪里以及如何解决吗？谢谢

Answer 1

问题出在散布图线上。应该是：

plt.scatter(PriceFloat, MileageFloat, c = colorCol, linewidth=0)

我将线宽arg置于倒置昏迷状态，这没有产生输出。但是，错误消息是非常令人误解的。下次在调试时，我可能会较少关注该错误消息。

TypeError：无法将数组数据从dtype（'<u1'）转换为=“” dtype（'float64'）=“”依据=“”至=“” Rule =“”'safe'=“”

1 个答案: