Exporting each row in Pandas Dataframe to Separate CSVs
I have a dataframe as such:
Python
making multiple request at the same time with the module requests and print the output on excel(python)
Hi this is quite a complicated question
From this script:
How do I speed up geopy calculations for a pandas DataFrame with approx. 100k entries?
I have a pandas DataFrame called “orders” with approx. 100k entries containing address data (zip, city, country). For each entry, I would like to calculate the distance to a specific predefined address.
Plot a custom colormap next to iterative scatterplot
I have a set of coordinates that are arranged per year, and I scatterplot them.
I create a custom colormap that reflects those years, but the issue is I can’t manage to plot the colorbar of that colormap, and replace the ticks by the values of a numpy array of datetime64. I have no idea how to do it since I don’t plot any image (and the examples online are mainly with plt.imshow).
replace alphanumeric values in a column dataframe
I have a big data frame that looks like this:
How to continuously crawl a webpage for articles using Selenium in Python
I’m trying to crawl bloomberg.com and find links for all English news articles. The problem with the below code is that, it does find a lot of articles from the first page but the it just goes into a loop that it does not return anything and goes once in a while.
How to extract elements from a list in pandas through regex?
I’m looking to extract the string of numbers that come after ‘accession’ in this Dataframe. My dataframe looks like this:
What ~ in isin pandas method means&
filtered_df = df[~df.index.isin(df_to_remove)] What does this ~ reduction mean? Found it in answers to the task? Was written by smn smart 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 … Read more
concurrent.future to execute two different functions with different parameters
I am trying to make concurrent.future to execute two different functions with different parameters. However, it was not successful. The desired functions are listed as follows:
Is there better way to erase elements not in common in nested lists
I tried to compare two nested lists like this shape:
l1 = [[1,'a'],[2,'a'],[3,'a'],[5,'a']]
l2 = [[1,'b'],[2,'b'],[4,'b'],[5,'b']].
And I need to get lists like this:
l1 = [[1, 'a'], [2, 'a'], [5, 'a']],
l2 = [[1, 'b'], [2, 'b'], [5, 'b']].
I could implement it in this way: