In my programm I take some data (variable raw) out of a database and have to use it. When using print(raw) this gets displayed: (‘x1 y1 z1 nx2 y2 z2 nx3 y3 z3 nx4 y4 z4’,) (raw has over 450 elements so I shortened it) Now I have to get x1 and y1 and forward them to another module. To
Tag: indexing
Find max by year and return date on which max occurred in Pandas with dates as index
I have this dataframe I would like to compute the max for each year and the date where it happens. I am struggling because I would like to keep indeed the date as index. Indeed I read it as: I know that I could resample as but in this case I would lose the information about the location of the
get first 2 characters of each index in array in python
I am trying to access the first two letters of each index in a numpy array in python: I have read previous forum of the error “‘int’ object is not subscriptable , I know it;s not a string, but for my work it’s better to be numpy.array or if anyone suggest me with another thing, please help, Here is my
Dask dataframe: Can `set_index` put a single index into multiple partitions?
Empirically it seems that whenever you set_index on a Dask dataframe, Dask will always put rows with equal indexes into a single partition, even if it results in wildly imbalanced partitions. Here is a demonstration: However, I found no guarantee of this behaviour anywhere. I have tried to sift through the code myself but gave up. I believe one of
How to convert each values in Data Frame to int and float in only one index row in Python Pandas?
I have Pandas Data Frame in Python like below: IDX is and index of this Data Frame. And I would like to add new row in this Data Frame which will calculate mathematic formula like: So for example: (250 – 120) / 250 = 0.52 So as a result I need something like below: because: I used code like below:
Reference DataFrame value corresponding to column header
I am trying to append a column to my DataFrame that is based on the values that are referenced by indicated column names. I have the following DataFrame: The values under “Select” are referencing the values that are under the column number that “Select” shows. For example, for row 0, “Select” shows 4, which refers to the value under column
How to get all last rows at second level in MultiIndex DataFrame whose second level has variable length
I have this dataframe: And I want to keep all the last second level rows, meaning that: For thread_id==0 I want to keep the row message_id_in_thread==1 For thread_id==1 I want to keep the row message_id_in_thread==2 For thread_id==2 I want to keep the row message_id_in_thread==1 This can easily be achieved by doing df.iterrows(), but I would like to know if there
Find ‘next’ non-null value in column
I am trying to create a new column which appends the row index of next non-null value next to the current non-null value using the following df as a starting point: The output would look like this: I have found a link that touches on the issue but I could not adapt to suit.. How can I get the index
Simplest way to add repeating counter column to pandas dataframe
I have a datafame: What is the shortes / simples way to add a repeating counter column like this?: My feeling tells me, that there must be a one-line solution (maybe a bit longer). But all I can think of would be much longer and complex. How would you approach this? Answer try: OR If you have a custom index
Numpy multiple min indices 3d array [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question I have a numpy array of shape (9, 200, 200). I would like to get a list of the indices of the minimum value for