csv.writer writing each character of word in separate column/cell
Objective: To extract the text from the anchor tag inside all lines in models and put it in a csv.
Objective: To extract the text from the anchor tag inside all lines in models and put it in a csv.
I have multiple 3 GB tab delimited files. There are 20 million rows in each file. All the rows have to be independently processed, no relation between any two rows. My question is, what will be faster?
I am trying to create a function that can convert a month number to an abbreviated month name or an abbreviated month name to a month number. I thought this might be a common question but I could not find it online.
I’ve used multiple ways of splitting and stripping the strings in my pandas dataframe to remove all the ‘n’characters, but for some reason it simply doesn’t want to delete the characters that are attached to other words, even though I split them. I have a pandas dataframe with a column that captures text from web pages using Beautifulsoup. The text has been cleaned a bit already by beautifulsoup, but it failed in removing the newlines attached to other characters. My strings look a bit like this:
This is hopefully a simple question but I can’t figure it out at the moment. I want to use matplotlib to show 2 figures and then use them interactively. I create the figures with:
np.where has the semantics of a vectorized if/else (similar to Apache Spark’s when/otherwise DataFrame method). I know that I can use np.where on pandas.Series, but pandas often defines its own API to use instead of raw numpy functions, which is usually more convenient with pd.Series/pd.DataFrame.
I’m trying to connect to Google BigQuery through the BigQuery API, using Python.
I’m working on a python (2.7) program that produce a lot of different matplotlib figure (the data are not random). I’m willing to implement some test (using unittest) to be sure that the generated figures are correct. For instance, I store the expected figure (data or image) in some place, I run my function and compare the result with the reference. Is there a way to do this ?
Looking to implement better geo-location with Python.
I need to load an XML file and convert the contents into an object-oriented Python structure. I want to take this: