Pinned Loading

1. Precios combustibles Precios combustibles

   1

   import pandas as pd

   2

   from token import TOKEN   # token personal: http://www.energiaabierta.cne.cl/

   3

   4

   TIPOS = ['calefaccion','vehicular']

   5

   SOURCE = 'http://api.cne.cl/v3/combustibles/{}/estaciones?token={}'

2. PPT compiler PPT compiler

   1

   from pptx import Presentation

   2

   from pptx.util import Inches

   3

   import glob

   4

   5

   SLIDE_LAYOUT_TITLE_AND_CONTENT = 1

3. async scraping async scraping

   1

   import aiohttp

   2

   import asyncio

   3

   import time, pandas as pd

   4

   5

   def async_http_get(urls, extractor=None, json_response=True):

4. Folium ClusterMap Folium ClusterMap

   1

   import folium

   2

   from folium.plugins import MarkerCluster

   3

   4

   mc = MarkerCluster()

   5

   fm = folium.Map(location=[40.72,-73.98],zoom_start=5)

5. sunburst graph in plot.ly sunburst graph in plot.ly

   1

   import plotly.graph_objs as go

   2

   from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

   3

   from IPython.display import HTML

   4

   5

   trace = go.Sunburst(

6. Lines over Heatmap Lines over Heatmap

   1

   import seaborn as sns; sns.set()

   2

   import matplotlib.pyplot as plt

   3

   flights = sns.load_dataset("flights");flights = flights.pivot("month", "year", "passengers")

   4

   fig, ax = plt.subplots(1, figsize=(16,8))         

   5

   sns.heatmap(flights, cbar=False, annot=True, fmt='.0f', ax=ax)