So, as evident from the title, I want to convert a pdf to a csv so that I could use that data in my project. The problem is that the pdf formatting is not at all suitable for conversion to a csv file. For a human reader, the file makes complete sense but for a computer, it is extremely difficult to comprehend. It is difficult for me to explain here but I would encourage my fellow data scientists to help me find a solution for the same.
df['gender'] = df['gender'].map({"2": "man", "1": "woman"}) Got NaN instead of man&woman What is wrong? Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If you found the post helpful (or not), leave a comment … Read more
I am trying to extract the data in the table at https://www.ecoregistry.io/emit-certifications/ra/10
I’m facing an issue with allocating huge arrays in numpy on Ubuntu 18 while not facing the same issue on MacOS.
I installed Anaconda3 4.4.0 (32 bit) on my Windows 7 Professional machine and imported NumPy and Pandas on Jupyter notebook so I assume Python was installed correctly. But when I type conda list and conda --version in command prompt, it says conda is not recognized as internal or external command.
I am receiving the error:
ValueError: Wrong number of items passed 3, placement implies 1, and I am struggling to figure out where, and how I may begin addressing the problem.
I have dataframe total_year, which contains three columns (year, action, comedy) .