If I have a given dictionary like this: how do I make each key-value print on a new line? well its long but here is the code I’m using to get this dictionary. I pretty much added each key-value to the dictionary. So i figured out the shortest word and then I added that to the dictionary. I noticed it
Tag: python
Using Sklearn’s TfidfVectorizer transform
I am trying to get the tf-idf vector for a single document using Sklearn’s TfidfVectorizer object. I create a vocabulary based on some training documents and use fit_transform to train the TfidfVectorizer. Then, I want to find the tf-idf vectors for any given testing document. The problem is that this r…
Matplotlib connect scatterplot points with line – Python
I have two lists, dates and values. I want to plot them using matplotlib. The following creates a scatter plot of my data. plt.plot(dates, values) creates a line graph. But what I really want is a scatterplot where the points are connected by a line. Similar to in R: , which gives me a scatterplot of points o…
How can I make a scatter plot colored by density in matplotlib?
I’d like to make a scatter plot where each point is colored by the spatial density of nearby points. I’ve come across a very similar question, which shows an example of this using R: R Scatter Plot: symbol color represents number of overlapping points What’s the best way to accomplish someth…
What is the most efficient way of counting occurrences in pandas?
I have a large (about 12M rows) DataFrame df: The following ran in a timely fashion: However, this is taking an unexpectedly long time to run: What am I doing wrong here? Is there a better way to count occurrences in a large DataFrame? ran pretty well, so I really did not expect this Occurrences_of_Words Data…
Why GridSearchCV spends more than 50% time on {method ‘acquire’ of ‘thread.lock’ objects}?
Recently I am tuning up some of my machine learning pipeline. I decided to take advantage of my multicore processor. And I ran cross-validation with param n_jobs=-1. I also profiled it and what was suprise for me: the top function was: I was not sure if it was my fault due to operations I do in Pipeline. So I…
Pandas get topmost n records within each group
Suppose I have pandas DataFrame like this: which looks like: I want to get a new DataFrame with top 2 records for each id, like this: I can do it with numbering records within group after groupby: which looks like: then for the desired output: Output: But is there more effective/elegant approach to do this? A…
Pandas dataframe get first row of each group
I have a pandas DataFrame like following: I want to group this by [“id”,”value”] and get the first row of each group: Expected outcome: I tried following, which only gives the first row of the DataFrame. Any help regarding this is appreciated. Answer If you need id as column: To get n …
Convert one row of a pandas dataframe into multiple rows
I want to turn this: Into this: Context: I have data stored with one value coded for all ages (age = 99). However, the application I am developing for needs the value explicitly stated for every id-age pair (id =1, age = 25,50, and 75). There are simple solutions to this: iterate over id’s and append a …
Python Sqlite3 insert operation with a list of column names
Normally, if i want to insert values into a table, i will do something like this (assuming that i know which columns that the values i want to insert belong to): But now i have a list of columns (the length of list may vary) and a list of values for each columns in the list. For example, if i