“pip install json” fails on Ubuntu
json is a built-in module, you don’t need to install it with pip.
python-2.7
Load Pretrained glove vectors in python
glove model files are in a word – vector format. You can open the textfile to verify this. Here is a small snippet of code you can use to load a pretrained glove file: import numpy as np def load_glove_model(File): print(“Loading Glove Model”) glove_model = {} with open(File,’r’) as f: for line in f: split_line … Read more
Cannot use scipy.stats
expanding on my comment (to have a listed answer). Scipy, as many other large packages, doesn’t import all modules automatically. If we want to use the subpackages of scipy, then we need to import them directly. However, some scipy subpackages load other scipy subpackages, so for example importing scipy.stats also imports a large number of … Read more
Transactions with Python sqlite3
For anyone who’d like to work with the sqlite3 lib regardless of its shortcomings, I found that you can keep some control of transactions if you do these two things: set Connection.isolation_level = None (as per the docs, this means autocommit mode) avoid using executescript at all, because according to the docs it “issues a … Read more
Patch pyopenssl for sslv3 issue
This is actually an issue with urllib3, not with pyopenssl. Debian lately compiles OpenSSL without SSLv3 support, and urllib3 just assumed that support was there. The issue was fixed in commit b9b3b0102 which is part of the 1.10 release of urllib3. As you are using urllib3 as part of requests, which in turn is used … Read more
Convert pandas series into numpy array [duplicate]
To get numpy array, you need Y.values
Scrapy get request url in parse
The ‘response’ variable that’s passed to parse() has the info you want. You shouldn’t need to override anything. eg. (EDITED) def parse(self, response): print “URL: ” + response.request.url
Simple plot in python of a numpy array?
matplotlib.pyplot is a module; the function to plot is matplotlib.pyplot.plot. Thus, you should do plt.plot(cplr) plt.show() A good place to learn more about this would be to read a matplotlib tutorial.
Reading csv zipped files in python
I used the zipfile module to import the ZIP directly to pandas dataframe. Let’s say the file name is “intfile” and it’s in .zip named “THEZIPFILE”: import pandas as pd import zipfile zf = zipfile.ZipFile(‘C:/Users/Desktop/THEZIPFILE.zip’) df = pd.read_csv(zf.open(‘intfile.csv’))