[英]Finding indices of numpy ndarray
I have a numpy.ndarray (data) that has 5 elements and each element has 2042 rows and two columns. 我有一个有5个元素的numpy.ndarray(数据),每个元素都有2042行和两列。 The first column contains dates (on 15-minute intervals) and the second contains temperatures. 第一列包含日期(以15分钟为间隔),第二列包含温度。 I am working a script that will find the max temperature in a 24-hour period. 我正在编写一个脚本,它将在24小时内找到最高温度。 I have a working script for that. 我有一个工作脚本。
x1=0
y1=95
maxTblue=[]
for i in range(int(len(data[0])/96)+1):
#collect the max temp for 24-hr period
maxTblue.append(max(data[0][x1:y1,1]))
#add 96 to shift to the next 24-hr period
x1+=96
y1+=96
Now, I want to be able to collect the date where the max temperature occurs for each 24-hour period. 现在,我希望能够收集每个24小时内出现最高温度的日期。 I tried the following script but it's giving me the wrong dates. 我尝试了以下脚本,但是给了我错误的日期。 The dates should increase by 24-hour periods, but the current script is returning dates from the first 24-hour period. 日期应增加24小时,但是当前脚本返回的是前24小时的日期。
maxdateBlue=[]
locblue=[]
x3=0
y3=95
for i in range(int(len(data[0])/96)+1):
#index for the max temp
locblue.append(np.where(data[0][x3:y3,1]==maxTblue[i]))
#date where the max temp occurs
maxdateBlue.append(data[0][locblue[i],0])
x3+=96
y3+=96
How do I properly use np.where, or how do I use another indices command to find out when my max temperatures occur? 如何正确使用np.where或如何使用另一个索引命令找出何时出现最高温度?
要在numpy数组中找到最大值的索引,请使用np.argmax()
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