I am trying to reconstruct a picture that is divided into 6 parts, by adding the parts neatly to the 6 labels ordered vertically. The pictures have the exact size with labels but still after adding them either labels are getting smaller or either images aren’t getting the size they are meant to have therefore the picture parts aren’t uniting.
PDFminer get font size from headers per each page (iteration)
I am quite new to python and PDFminer which is a bit complex for me, what I am trying to achieve is extract the title each page from a pdf file or slides. My approach is getting a list of the text lines and the font size per page, then I will pick the highest number as the slide heading
TensorFlow libdevice not found. Why is it not found in the searched path?
Win 10 64-bit 21H1; TF2.5, CUDA 11 installed in environment (Python 3.9.5 Xeus) I am not the only one seeing this error; see also (unanswered) here and here. The issue is obscure and the proposed resolutions are unclear/don’t seem to work (see e.g. here) Issue Using the TF Linear_Mixed_Effects_Models.ipynb example (download from TensorFlow github here) execution reaches the point of
Calculate the minimum distance to destinations for each origin in pyspark
I have a list of origins and destinations along with their geo coordinates. I need to calculate the minimum distance for each origin to the destinations. Below is my code: I got error like below: my question is: it seems that there is something wrong with withColumn(‘Distance’, haversine_vector(F.col(‘Origin_Geo’), F.col(‘Destination_Geo’))). I do not know why. (I’m new to pyspark..) I have
Extracting the required information for a Script tag of scraped webpage using BeautifulSoup
I’m a webscraping novice and I am looking for pointers of what to do next, or potentially a working solution, to scrape the following webpage: https://www.capology.com/club/leicester/salaries/2019-2020/ I would like to extract the following for each row (player) of the table: Player Name i.e. Jamie Vardy Weekly Gross Base Salary (in GBP) i.e. £140,000 Annual Gross Base Salary (in GBP) i.e.
Regex: Remove the letters with length 1-3 which are before the dot
If I have an input something like this Another example is I want to produce a code which is generalized for any group of letter in any language. This is my code So I can change ‘A’ with any other letter, but for some reason isn’t working well. I tried also this one but isn’t working as well. Answer Try
Pandas DataFrame Dividing a column by itself taking first element and divide all the rows and so on
I have a DataFrame from Pandas: df1: Now I want to iterate over the rows. For every row, divided by the first elements of the same column and then iterate elements. Taking all the rows one by one and divided by the first element as standard in the denominator and all rows with second elements and so on. For example:
How to let the constructor in the subclass inherit the constructor or base class?
I have the following code segment, which is shown as follows along with its output I would like to let the subclass, e.g. Employee, can also inherit the functionality implemented in the constructor of AbstractClass. In specific, the print(‘the salary information’) I added: Answer You need to pass the CURRENT class to super, not the parent. So: Python will figure
Binary Representations
Why is that However, Moreover, It seems, that first -5 is converted to 2’s compliment then operation is performed. Then, in case of ‘&’ output is printed/interpreted as such, but for | output is converted back to signed magnitude representation. Why is there such an asymmetry? Answer -5 in binary (two’s complement) is …111111111011. Python can handle arbitrary-precision integers and
count plot for each categorical variable
I have a dataset as below, where Q1,Q2,Q3 are categorical. How can I plot the x axis for each column, and y as the count of the value for each column, all in one plot. Sample out put Answer You can use value_counts on the columns and then plot: old answer A quick way using pandas only is: But this