Question

我想出了如何使用与stackoverflow上显示的技术略有不同的技术将我的日期时间列表转换为字符串，但现在我想绘制我将字符串转换为日期时间时附加到的数组datetimes_final final_times数组，但我一直得到错误ValueError：x和y必须具有相同的第一个维度，当我的final_times和temp数组确实具有相同数量的元素以便绘制时，所以我不明白为什么我收到此错误，并需要帮助修复它。我也发布了我得到的错误，但我没有发布整个错误，因为它已超过200行所以我刚刚发布了重要部分。

def values_equal_np_array3(temp, time_created_index, time_modified_index, times_from_text_file):
    if (len(np.unique(temp)) == 1):
        return True
    else:
        #tells user the temps are not equal for a specified interval of time
        print ('False')

        #specifying the beginning to end interval of temperature collection
        final_times = times_from_text_file[time_created_index: time_modified_index]

        #create a new empty list to hold datetimes
        datetimes_final = []

        #iterate over the empyty list
        for element in final_times:
            datetime_conversion = datetime.datetime.strptime(element, "%H:%M")
            datetimes_final.append(datetime_conversion)        


        plt.xlabel('Time')
        plt.ylabel('Temperature')
        plt.title('Time vs Temperature')        


        #http://stackoverflow.com/questions/1574088/plotting-time-in-python-with-matplotlib

        #I am trying to plot two arrays-one in datetimes and another in ints- using the link above

        final_times = matplotlib.dates.date2num(datetimes_final)
        matplotlib.pyplot.plot_date(final_times, temp)


        #the values that appear in the non-uniform temperature array on display as an array        
        return np.unique(temp)

#test case for the values_equal_np_array3 function
#the first 6 times from the times_from_text_file array should be plotted against the temp array 
values_equal_np_array3(np.array([1, 1, 1, 2, 3, 4]), 0, 5, np.array(['10:15','12:31','12:32','1:33', '12:34', '1:35', '2:36', '2:37', '3:38', '1:39']))


False

ValueError                                Traceback (most recent call last)
<ipython-input-79-c16b47f0901d> in <module>()
----> 1 values_equal_np_array3(np.array([1, 1, 1, 2, 3, 4]), 0, 5,         np.array(['10:15','12:31','12:32','1:33', '12:34', '1:35', '2:36', '2:37', '3:38', '1:39']))

<ipython-input-78-67671c2f9e11> in values_equal_np_array3(temp,     time_created_index, time_modified_index, times_from_text_file)
     23 
     24         final_times = matplotlib.dates.date2num(datetimes_final)
---> 25         matplotlib.pyplot.plot_date(final_times, temp)
     26 
     27 

C:\Users\mintw\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in     _xy_from_xy(self, x, y)
    217         y = _check_1d(y)
    218         if x.shape[0] != y.shape[0]:
--> 219             raise ValueError("x and y must have same first dimension")
    220         if x.ndim > 2 or y.ndim > 2:
    221             raise ValueError("x and y can be no greater than 2-D")

ValueError: x and y must have same first dimension

在转换为日期时间后绘制日期时间

0 个答案: