The Guerrilla Girls: Equality and Activism in the Internet Age

import pandas as pd

# plotly imports

import plotly.figure_factory as ff

# plotly.graph_objs contains all the helper classes to make/style plots

import plotly.graph_objs as go

artist_data = pd.read_csv(
artist_data.csv)

# Display the first 12 rows and 3 columns of the dataframe

ff.create_table(artist_data.iloc[:12,:3], index=False)

import numpy as np

artist_data = pd.read_csv(
artist_data.csv)

male = artist_data['gender'] == 'Male'

female = artist_data['gender'] == 'Female'

num_males = artist_data[male]['id'].count()

num_females = artist_data[female]['id'].count()

print("{male} males and {female} females for {ratio}%".format(male=num_males, female=num_females, ratio=num_females/(num_males+num_females)*100))

trace1 = go.Histogram(

    x=np.array((artist_data[female]['yearOfBirth'])),

    name='Female')

trace2 = go.Histogram(

    x=np.array((artist_data[male]['yearOfBirth'])),

    name='Male')

trace_data = [trace1, trace2]

layout = go.Layout(

    bargroupgap=0.3)

go.Figure(data=trace_data, layout=layout)

(use 'mundaneum.query)

(entity "Guerrilla Girls")

(count (query '[:select ?occupation :where [?s wdt:P106 wd:Q1028181 . ?s wdt:P31 wd:Q5]]))

(def women-painters 

  (count (query '[:select ?occupation ?gender :where [?s wdt:P106 wd:Q1028181 . ?s wdt:P21 wd:Q6581072]])))

women-painters

(def men-painters 

  (count (query '[:select ?occupation ?gender :where [?s wdt:P106 wd:Q1028181 . ?s wdt:P21 wd:Q6581097]])))

men-painters

(/ women-painters (+ women-painters men-painters))

(query '[:select ?platform ?contributorCount :where [wd:Q2013 wdt:P1833 ?contributorCount]])