Python 使用日期和 int 值构建散点图的问题

import pandas as pd
import seaborn as sn
import matplotlib.pyplot as plt
from datetime import datetime
import numpy as np

path = r'C:\Users\bossd\OneDrive\Документы\datarn.csv'
df = pd.read_csv(path)
path2 = r'C:\Users\bossd\OneDrive\Документы\pipirka.csv'
df2 = pd.read_csv(path2) 

x = (df2.loc[df2['timestamp'].str.startswith('2015')])
y = df2['cnt']
plt.scatter(x,y)
plt.show()

我想用包含‘2015’作为x轴的日期和表示这一天自行车租赁的‘cnt’参数来构建一个散点图. 但在运行代码后，我收到以下错误

Cell In[47], line 14
     12 x = (df2.loc[df2['timestamp'].str.startswith('2015')])
     13 y = df2['cnt']
---> 14 plt.scatter(x,y)
     15 plt.show()
     17 display(df2)
...
File ~\venv\lib\site-packages\matplotlib\category.py:214, in UnitData.update(self, data)
    212 # check if convertible to number:
    213 convertible = True
--> 214 for val in OrderedDict.fromkeys(data):
    215     # OrderedDict just iterates over unique values in data.
    216     _api.check_isinstance((str, bytes), value=val)
    217     if convertible:
    218         # this will only be called so long as convertible is True.

TypeError: unhashable type: 'numpy.ndarray'

数据帧如下所示，其中包含时间戳作为日期，而不是这一天的自行车租赁量

# read the following sample data with
df2 = pd.read_html('https://stackoverflow.com/q/77090789/7758804')[0]