seaborn jupyter shit

import csv
import os.path
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import seaborn as sns
%matplotlib inline

#data loading
data = ....
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def visualizeComedyByOtherGenres(data):
    keysToNotInclude = ['Id', 'Duration', 'Language', 'Country', 'Rating', 'Target', "Poster"]
    keys = [key for key in data[0].keys() if not key in keysToNotInclude]
    isComedyKey = 'Target'
    plotValues = dict.fromkeys(keys, 0)
    for item in data:
        if item[isComedyKey] == "1":
            for key in keys:
                if item[key] == "1":
                    plotValues[key] += 1
    xValues = []
    yValues = []
    for key, value in plotValues.items():
        xValues.append(key)
        yValues.append(value)
    sns.set_context("notebook", font_scale=10)
    gr = sns.barplot(x=xValues, y=yValues)
    plt.setp(gr.get_xticklabels(), rotation=90)
    plt.title("By Genres")
    plt.rcParams['figure.figsize']=(70,40)

visualizeComedyByOtherGenres(data)

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def visualizeByLanguage(data):
    languageKey = "Language"
    langToNumComedies = {}
    for item in data:
        language = item[languageKey]
        numMovies, numComedies = langToNumComedies.get(language, (0,0))
        numMovies += 1
        if(item['Target'] == "1"):
            numComedies += 1
        langToNumComedies[language] = (numMovies, numComedies)

    xValues = list(langToNumComedies.keys())
    yValues = []
    for key in xValues:
        numMovies, numComedies = langToNumComedies[key]
        yValues.append(numComedies/numMovies)
    plt.rcParams['figure.figsize']=(75,30)
    gr = sns.barplot(x=xValues, y=yValues)
    sns.set_context("notebook", font_scale=10)
    plt.setp(gr.get_xticklabels(), rotation=90)
    plt.title("By Language(Normalized)")


visualizeByLanguage(data)

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etc