radiotore.blogg.se - Bokeh movie netflix

#Bokeh movie netflix Patch#

We may say that if I were netflix then I would want to invest said country produced title I would want to take into account the population inside the nation and the global population of people from that nation. We can now take into account that this maybe the same effect for other countries. Quickly found which is good to know that its an already researched topic and the awnser was that there are more restrictions in china in order to get their content out there so they take on less chineese titles on their platform because they would not be able to reach that user base. Lets first look at the 2nd question and maybe just do a little bit of research and see if we can figure anything out

This does not take time into account so we could see when netflix added the movie to their library to see if they initially started with a core audience and then branched out.

I want to say that the frequency correlated to gdp of the country, population and maybe something with most spoken languages.

We also can see that India and China and india both have a good amount of titles but India far surpasesĬhina while having a smaller population, maybe the reasoning for why that is something we can explore.

So this by proximity would increase the number for mexico and canada.

America is the main location for producing movies ( which makes sense netflix is american based company).

Now by looking at the map and also the bar chart we can identify a few things show ( p ) createFrequencyMap ( dfFinal, 'Countr圜ode', 'frequency', 'Number of Netflix Titles Per Country' ) add_layout ( color_bar, 'right' ) #Display figure inline in Jupyter Notebook. patches ( 'xs', 'ys', source = geosource, fill_color =, line_color = 'black', line_width = 0.2, fill_alpha = 1 ) #Specify figure layout.

#Bokeh movie netflix Patch#

grid_line_color = None #Add patch renderer to figure. p = figure ( title = title, plot_height = 500, plot_width = 1000, toolbar_location = None ) p. color_bar = ColorBar ( color_mapper = color_mapper, label_standoff = 10, width = 10, height = 400, border_line_color = None, location = ( 0, 0 ), orientation = 'vertical' ) #Create figure object.

color_mapper = LogColorMapper ( palette = palette, low = min ( data ), high = max ( data )) #Create color bar. palette = palette #Instantiate LinearColorMapper that linearly maps numbers in a range, into a sequence of colors. palette = brewer #Reverse color order so that dark blue is highest obesity. geosource = GeoJSONDataSource ( geojson = json_data ) #Define a sequential multi-hue color palette. dumps ( merged_json ) #Input GeoJSON source that contains features for plotting. merge ( data, left_on = 'country_code', right_on = nameOfColumnForCountr圜ode ) merged_json = json. This hit sitcom follows the merry misadventure.ĭef createFrequencyMap ( data, nameOfColumnForCountr圜ode, frequenc圜olumnName, title = "Default Title" ): shapefile = './GeoShapeFile/ne_110m_admin_0_countries.shp' #Read shapefile using Geopandas gdf = gpd. Jennifer Aniston, Courteney Cox, Lisa Kudrow.

Set during the Russian Revolution, this comic. Nursery rhymes and original music for children.Ī Young Doctor's Notebook and Other Storiesĭaniel Radcliffe, Jon Hamm, Adam Godley, Chris. With the help of three human allies, the Autob. Peter Cullen, Sumalee Montano, Frank Welker, J. Jandino Asporaat riffs on the challenges of ra. Alan Marriott, Andrew Toth, Brian Dobson, Cole.īefore planning an awesome wedding for his gra.