huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

nanvel

from xml import sax


class XMLParser(sax.handler.ContentHandler):

    def __init__(self, keys=[], lists=[], *args, **kwargs):
        """
        :param keys: list of data keys have to be available in data
        :param lists: list of nodes have be represented as list

Averroes

from urllib.request import urlopen
from xml.etree.ElementTree import parse

# Download the RSS feed and parse it
u = urlopen('http://planet.python.org/rss20.xml')
doc = parse(u)

# Extract and output tags of interest
for item in doc.iterfind('channel/item'):
    title = item.findtext('title')

Averroes

// XPath CheatSheet
// To test XPath in your Chrome Debugger: $x('/html/body')
// http://www.jittuu.com/2012/2/14/Testing-XPath-In-Chrome/


// 0. XPath Examples.
// More: http://xpath.alephzarro.com/content/cheatsheet.html


'//hr[@class="edge" and position()=1]'                // every first hr of 'edge' class

dyerrington

##
# Create a figure space matrix consisting of 3 columns and 2 rows
#
# Here is a useful template to use for working with subplots.
#
##################################################################
fig, ax = plt.subplots(figsize=(10,5), ncols=3, nrows=2)

left   =  0.125  # the left side of the subplots of the figure
right  =  0.9    # the right side of the subplots of the figure

arunreddy

# ---------------------------------------------------------
# library imports.

import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib.dates import DateFormatter, DayLocator, HourLocator

# *********************************************************

fomightez

# List unique values in a DataFrame column
df['Column Name'].unique() # Note, `NaN` is included as a unique value. If you just want the number, use `nunique()` which stands
# for 'number of unique values';  By default, it excludes `NaN`. `.nunique(dropna=False)` will include `NaN` in the count of unique values.

# To extract a specific column (subset the dataframe), you can use [ ] (brackets) or attribute notation.
df.height
df['height']
# are same thing!!! (from http://www.stephaniehicks.com/learnPython/pages/pandas.html 
# -or-
# http://www.datacarpentry.org/python-ecology-lesson/02-index-slice-subset/)

nandha005

<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
  <component name="NewModuleRootManager">
    <content url="file://$MODULE_DIR$" />
    <orderEntry type="inheritedJdk" />
    <orderEntry type="sourceFolder" forTests="false" />
  </component>
  <component name="TestRunnerService">
    <option name="PROJECT_TEST_RUNNER" value="Unittests" />
  </component>

ishashankverma

import requests
import xml.etree.ElementTree as ET

url = 'http://test.cognizant.e-box.co.in/uploads/data_usage.xml'
# Getting the xml data from url
req = requests.get(url)
text = req.text

# Parsing the xml
root = ET.fromstring(text)

estasney

from gensim.utils import smart_open
from collections import defaultdict, OrderedDict
import csv
import xml.etree.ElementTree as ET

headers = ['AcceptedAnswerId', 'AnswerCount', 'ClosedDate', 'CommentCount', 'CommunityOwnedDate', 'CreationDate',
 'FavoriteCount', 'Id', 'LastActivityDate', 'LastEditDate', 'LastEditorDisplayName', 'LastEditorUserId', 
 'OwnerDisplayName', 'OwnerUserId', 'ParentId', 'PostTypeId', 'Score', 'Tags', 'Title', 'ViewCount']
 
file_path = ""