根据给定的表使用python，进行kmeans聚类，并评估结果，生成图表。

表格信息：
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 134692 entries, 0 to 134691
Data columns (total 24 columns):

Column Non-Null Count Dtype

0 City_Name 134692 non-null object
1 City_State 134692 non-null object
2 Date 134692 non-null object
3 Season 134692 non-null object
4 Climate_Type 134692 non-null object
5 Minimum_Temperature 134110 non-null float64
6 Maximum_Temperature 134387 non-null float64
7 Temperature_AM 134692 non-null float64
8 Temperature_PM 134692 non-null float64
9 Wind_Direction_AM 125161 non-null object
10 Wind_Direction_PM 131134 non-null object
11 Wind_Speed_AM 133369 non-null float64
12 Wind_Speed_PM 132240 non-null float64
13 Max_WindGust_Direction 125665 non-null object
14 Max_WindGust_Speed 125724 non-null float64
15 Significant_Rainfall 134692 non-null object
16 Rainfall_Amount 133342 non-null float64
17 Humidity_AM 134692 non-null float64
18 Humidity_PM 134692 non-null float64
19 Atmospheric_Pressure_AM 134692 non-null float64
20 Atmospheric_Pressure_PM 134692 non-null float64
21 CloudCover_Oktas_AM 134692 non-null int64
22 CloudCover_Oktas_PM 134692 non-null int64
23 ReductionBurn_Tomorrow 134692 non-null int64
dtypes: float64(12), int64(3), object(9)
memory usage: 24.7+ MB