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5个月前关闭。
我必须画这个：
Rent plot
图例应显示要为其绘制租金的当前城市，x刻度应显示月份/年份，y刻度应显示该城市的租金清单。
该词典包含邮政编码和城市键值对：
95136，圣何塞
95134，圣何塞
95131，圣何塞
95129，圣何塞
95128，圣何塞
95126，圣何塞
95125，圣何塞
95123，圣何塞
95117，圣何塞
95112，圣何塞
95110，圣何塞
95054，圣塔克拉拉
95051，圣塔克拉拉
95050，圣克拉拉
95035，米尔皮塔斯
95032，洛斯·加托斯
95014，Cupertino
95008，Campbell
94306，帕洛阿尔托
94089，桑尼维尔
94087，桑尼维尔
94085，桑尼维尔
94043，山景
94040，山景
numpy数组包含每个邮政编码的租金清单：
2659,2623.5,2749.5,2826.5,2775,2795,2810,2845,2827,2847,2854,2897.5,2905,2925,2902.5,2869.5
3342.5,3386,3385,3353,3300,3190,3087.5,3092,3170,3225,3340,3315,3396,3470,3480,3380
2996,2989,2953,2950,2884.5,2829,2785,2908,2850,2761,2997.5,3020,2952,2997.5,2952,2923.5
2804.5,2850.5,2850,2850,2867,2940,2905,2945,2938,2860,2884,2946,2938,2986.5,2931.5,3032.5
2800,3074,2950,2850,2850,2875,2757,2716,2738.5,2696,2809,2891,3000,2960,2950,2831
3215,3250,3290,3260,3200,3350,3507.5,3301,3276,3320,3550,3500,3530,3498.5,3505,3605
2597.5,2649,2625.5,2890,3325,3200,3010,2850,2800,2745,2695,2695,2850,2850,2860,2695
2783.5,2800,2812,2809,2813.5,2817,2815,2849,2850,2927,2810,2890,2910,2996,2950,2897
2350,2350,2350,2475,2400,2495,2567.5,2525,2400,2350,2487.5,2395,2397.5,2450,2562.5,2500
3152.5,3015,3060,3027.5,2950,3000,3002.5,3022.5,2865,2850,2825,2895,3020,3022.5,3110,3185
3337,3500,3484,3519,3393.5,3295,3062.5,3057,3123.5,3103,3079,3216,3221,3200,3214,3405.5
3180,3325,3495,3488.5,3271.5,3216,3235,3216,3300,3405,3388.5,3600,3915,3629.5,3541,3405
2800,3049,3000,3032,2995,2987.5,2850,3000,3000,2895,2992.5,3080,3378.5,3094.5,3056,3150
2871.5,2850,2751,2710,2800,2875,2845,2700,2784.5,2749,2800,2875,2905,3028,3100,3100
3552.5,3550,3540,3510,3495,3510,3512.5,3525,3300,3270,3250,3182.5,3200,3200，3250,3200
3397.5,3389,3450,3400,3300,3500,3495,3497.5,3395,3595,3350,3350,3425,3399.5,3364.5,3325.5
3550,3472,3493,3344.5,3332,3251,3270.5,3358,3370.5,3465.5,3495,3495,3500,3495,3458,3550
2805,2833,2900,2930,2795,2800,2890,2949,2800,2850,2839,2900,2850,2995,3087.5,2950.5
3495,3530,3610,4200,3990,3925,4000,3785,3792.5,3525,3495,3850,3900,4137.5,4000,4200
3545,3355,3305,3143,3220,3200,3180,3639,3260,3265,3510,3575,3695,3482.5,3600,3292.5
2995,3180,3225,3204,3219,3109,2998.5,2995,3200,3193.5,3161,3195,3200,3338.5,3200,3176
3599,3641,3796,3650,3552.5,3570,3535,3465,3400,3316,3640,3770,3440,3790,3815,3692.5
3500,3509.5,3519,3717.5,3495,3435,3285,3162.5,3425,3375,3410,3472.5,3600,3980,3657.5,3650
3773,3696,3708,3778,3689,3625,3516,3518.5,3647,3596,3685,3945,3811,3848,3699,4021.5
租金数组和字典索引应该匹配。
我有4个类属性self.startMonth，self.startYear，self.endMonth和self.endYear。我还有一个名为cityPlot的函数，该函数接受city，month，year参数，并且内部有一个循环，用于在字典中搜索城市，以及一个循环，用于查找在numpy数组中搜索的邮政编码租金的索引。
我是numpy和绘图的新手，所以我不确定如何进行绘图。绘图时出现错误，我不确定如何解决。
![python - 绘制租金图-LMLPHP]( "python - 绘制租金图-LMLPHP")
想改善这个问题吗？ Update the question，所以它是on-topic，用于堆栈溢出。
5个月前关闭。
我必须画这个：
Rent plot
图例应显示要为其绘制租金的当前城市，x刻度应显示月份/年份，y刻度应显示该城市的租金清单。
该词典包含邮政编码和城市键值对：
95136，圣何塞
95134，圣何塞
95131，圣何塞
95129，圣何塞
95128，圣何塞
95126，圣何塞
95125，圣何塞
95123，圣何塞
95117，圣何塞
95112，圣何塞
95110，圣何塞
95054，圣塔克拉拉
95051，圣塔克拉拉
95050，圣克拉拉
95035，米尔皮塔斯
95032，洛斯·加托斯
95014，Cupertino
95008，Campbell
94306，帕洛阿尔托
94089，桑尼维尔
94087，桑尼维尔
94085，桑尼维尔
94043，山景
94040，山景
numpy数组包含每个邮政编码的租金清单：
2659,2623.5,2749.5,2826.5,2775,2795,2810,2845,2827,2847,2854,2897.5,2905,2925,2902.5,2869.5
3342.5,3386,3385,3353,3300,3190,3087.5,3092,3170,3225,3340,3315,3396,3470,3480,3380
2996,2989,2953,2950,2884.5,2829,2785,2908,2850,2761,2997.5,3020,2952,2997.5,2952,2923.5
2804.5,2850.5,2850,2850,2867,2940,2905,2945,2938,2860,2884,2946,2938,2986.5,2931.5,3032.5
2800,3074,2950,2850,2850,2875,2757,2716,2738.5,2696,2809,2891,3000,2960,2950,2831
3215,3250,3290,3260,3200,3350,3507.5,3301,3276,3320,3550,3500,3530,3498.5,3505,3605
2597.5,2649,2625.5,2890,3325,3200,3010,2850,2800,2745,2695,2695,2850,2850,2860,2695
2783.5,2800,2812,2809,2813.5,2817,2815,2849,2850,2927,2810,2890,2910,2996,2950,2897
2350,2350,2350,2475,2400,2495,2567.5,2525,2400,2350,2487.5,2395,2397.5,2450,2562.5,2500
3152.5,3015,3060,3027.5,2950,3000,3002.5,3022.5,2865,2850,2825,2895,3020,3022.5,3110,3185
3337,3500,3484,3519,3393.5,3295,3062.5,3057,3123.5,3103,3079,3216,3221,3200,3214,3405.5
3180,3325,3495,3488.5,3271.5,3216,3235,3216,3300,3405,3388.5,3600,3915,3629.5,3541,3405
2800,3049,3000,3032,2995,2987.5,2850,3000,3000,2895,2992.5,3080,3378.5,3094.5,3056,3150
2871.5,2850,2751,2710,2800,2875,2845,2700,2784.5,2749,2800,2875,2905,3028,3100,3100
3552.5,3550,3540,3510,3495,3510,3512.5,3525,3300,3270,3250,3182.5,3200,3200，3250,3200
3397.5,3389,3450,3400,3300,3500,3495,3497.5,3395,3595,3350,3350,3425,3399.5,3364.5,3325.5
3550,3472,3493,3344.5,3332,3251,3270.5,3358,3370.5,3465.5,3495,3495,3500,3495,3458,3550
2805,2833,2900,2930,2795,2800,2890,2949,2800,2850,2839,2900,2850,2995,3087.5,2950.5
3495,3530,3610,4200,3990,3925,4000,3785,3792.5,3525,3495,3850,3900,4137.5,4000,4200
3545,3355,3305,3143,3220,3200,3180,3639,3260,3265,3510,3575,3695,3482.5,3600,3292.5
2995,3180,3225,3204,3219,3109,2998.5,2995,3200,3193.5,3161,3195,3200,3338.5,3200,3176
3599,3641,3796,3650,3552.5,3570,3535,3465,3400,3316,3640,3770,3440,3790,3815,3692.5
3500,3509.5,3519,3717.5,3495,3435,3285,3162.5,3425,3375,3410,3472.5,3600,3980,3657.5,3650
3773,3696,3708,3778,3689,3625,3516,3518.5,3647,3596,3685,3945,3811,3848,3699,4021.5
租金数组和字典索引应该匹配。
我有4个类属性self.startMonth，self.startYear，self.endMonth和self.endYear。我还有一个名为cityPlot的函数，该函数接受city，month，year参数，并且内部有一个循环，用于在字典中搜索城市，以及一个循环，用于查找在numpy数组中搜索的邮政编码租金的索引。
def priceTrend(self, city, month, year):
self.startMonth = month
self.startYear = year
count = 0
rent = []
cityName = ''
for keys, cities in self.city.items():
if self.city[keys] == city:
cityName = self.city[cities]
for i in self.arrRent[count]:
rent.append(i)
self.startMonth += 1
plt.plot(self.startMonth, rent, lable=cityName)
plt.legend(loc='best')
plt.show()
我是numpy和绘图的新手，所以我不确定如何进行绘图。绘图时出现错误，我不确定如何解决。
最佳答案
首先，如果使用熊猫导入数据文件会更好，这样您就可以在需要时轻松将它们转换为numpy数组。
然后，您可以执行以下操作：
import matplotlib.pyplot as plt
%inline matplotlib
pin = ['12345','12346','12347','12348','12349','12340']
rent = [1000,2000,800,1600,900,1200]
plt.plot(pin,rent)
plt.show()
关于python - 绘制租金图，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/58405423/
10-10 18:21