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 last month. Improve this question I tried this, and got this, I can’t explain, why happened? Answer For a bit more robust code you can do overflow=[‘much’, ‘and’, ‘even’, ‘more’] will
Tag: python
How to extract images from pandas dataframe
I want to extract findings and filename columns from below dataframe. For extracting images I use manual path to images having total number of 7467 images. Next I use the following code for extracting findings and images. But I want to extract images from filename something like this for row in df[filename]. Answer For future posts, please paste the data
How to get business weekly averages per method in pandas
I have the following problem. Suppose I have a wide data Frame consisting of three columns (mock example follows below). Essentially, it consists of three factors, A, B and C for which I have certain values for each business day within a time range. I would like to plot the business weekly averages of the the three factors along time.
Vlookups in Pandas across 2 dataframe column
I have 2 dataframes and I wish to grab IDs matching with DF2 into df1 merged as separate columns. There are multiple columns to be added due to df2 having many different country names for a specific ID. df1 looks like below: df2 is like this: What I am expecting df1 to look like: I wish to bring if DF1
Test if any values in list are in other list
I have a List, L, and some Values, V. If none of them are in the List it passes the condition. As for the other side, if one of them it’s in the list it passes the other condition. The code should be something like this For example I have the following list: And I want to check with the
how to subtract two values in my dataframe
I get this csv from my program and i want to get the “thickness”/difference of each of my Depth values. So for example 3998 – 4002 = -4 is there a way to use this csv or is it useless because i couldn’t find anything that would solve my problem. Answer This could also be done:
Django IntegrityError (1048, “Column ‘item_id_id’ cannot be null”)
Here is my models.py Items model from different App: My views.py Forms.py My template And the form when i run the server is this: Answer In you model the field is named item_id but in your ModelForm the field is named itemID. The field names should be the same. Rename the fields in your ModelForm so they match the Model.
The most efficient way rather than using np.setdiff1d and np.in1d, to remove common values of 1D arrays with unique values
I need a much faster code to remove values of an 1D array (array length ~ 10-15) that are common with another 1D array (array length ~ 1e5-5e5 –> rarely up to 7e5), which are index arrays contain integers. There is no duplicate in the arrays, and they are not sorted and the order of the values must be kept
Calculating YoY growth for daily volumes in python pandas
I have 5 years of daily volume data. I want to create a new column in pandas dataframe where it produces the values of YoY Growth for that particular day. For e.g. compares 2018-01-01 with 2017-01-01, and 2019-01-01 compares with 2018-01-01 I have 364 records for each year (except for the year 2020 there are 365 days) How can I
Loop through unique values in a column to check another column and create another column – pandas
I would like to create a function to go through each unique value in a column and check if another column contains a value and then create a column that shows the result. For example: for each unique ID in df, check if the stats is A then create a result column: df: ID Status 1 A 1 B 2