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- {
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Data Literacy - Project\n",
- "## Gender Share in Movies\n",
- "#### Tobias Stumpp, Sophia Herrmann"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### README & TODO\n",
- "\n",
- "This file analyzes the time-frame around 2000 (1980 - 2020), when the Bechdel test became worldwide known.\n",
- "- First, the share of actresses on principal cast for each movie is taken and plotted over the years from 1980 to 2020. Additionally, their mean was taken for each year, and added to the plot. \n",
- "\n",
- "- A second plot present only the mean value of the shares for each year.\n",
- "To see finer mean chances.\n",
- "\n",
- "Those plots intend to present a possible change in the share of actresses on principal cast over the years, due to the puplication of the Bechdel test"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import os\n",
- "import matplotlib.pyplot as plt"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "path = '../dat/'\n",
- "os.chdir(path)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Read data, add the computed share of actresses on principal cast into the data set and split the data set into the two time frames"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "data_movie = pd.read_csv('data_movie.csv')\n",
- "\n",
- "# Keep only the years of 2000 to 2020 & sort the data frame according years\n",
- "data_1980_2020 = data_movie[(data_movie.startYear >= 1980) & (data_movie.startYear <= 2020)].sort_values(\"startYear\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Compute share of actresses on the principal cast for each movie and include it into the data set\n",
- "\n",
- "# 1)\n",
- "# Number Actress & Number Actors\n",
- "number_cast = pd.crosstab(data_1980_2020['tconst'], data_1980_2020['category']).reset_index().rename(columns = {\n",
- " 'actor':'nactor',\n",
- " 'actress':'nactress',\n",
- "})\n",
- "\n",
- "# Merge number of actress & actors to data_movie, and delete original category-column & delete row-duplicates\n",
- "data_1980_2020 = pd.merge(data_1980_2020, number_cast, on=\"tconst\", how='left')\n",
- "data_1980_2020.drop([\"category\"], axis = 1, inplace = True)\n",
- "data_1980_2020 = data_1980_2020.drop_duplicates()\n",
- "\n",
- "# 2)\n",
- "data_1980_2020[\"proportion\"] = data_1980_2020[\"nactress\"] / (data_1980_2020[\"nactress\"] + data_1980_2020[\"nactor\"])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Split data set into the range of years from 1980 - 2000 & 2000 - 2020:\n",
- "\n",
- "data_1980 = data_1980_2020[(data_1980_2020.startYear >= 1980) & (data_1980_2020.startYear < 2000)].sort_values(\"startYear\")\n",
- "data_2020 = data_1980_2020[(data_1980_2020.startYear >= 2000) & (data_1980_2020.startYear <= 2020)].sort_values(\"startYear\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Compute the mean of the share of actresses on principal cast grouped by years\n",
- "mean_1980 = data_1980.groupby(\"startYear\").proportion.mean().reset_index().proportion\n",
- "mean_2020 = data_2020.groupby(\"startYear\").proportion.mean().reset_index().proportion\n",
- "years_1980 = data_1980.groupby(\"startYear\").proportion.mean().reset_index().startYear\n",
- "years_2020 = data_2020.groupby(\"startYear\").proportion.mean().reset_index().startYear"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "--------------------\n",
- "### Analyize the share of actresses on principal cast for each movie over the years from 1980-2020 and mark the mean value for each year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 1152x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot Actresses on principal cast\n",
- "plt.figure(figsize=(16,8))\n",
- "plt.scatter(data_1980.startYear, data_1980.proportion, s = 2)\n",
- "plt.scatter(data_2020.startYear, data_2020.proportion, s = 2)\n",
- "\n",
- "plt.scatter(years_1980, mean_1980, label = \"Mean for the years 1980 - 1999\")\n",
- "plt.scatter(years_2020, mean_2020, label = \"Mean for the years 2000 - 2020\")\n",
- "\n",
- "plt.xlabel(\"Years\", fontsize=18)\n",
- "plt.ylabel(\"% Actresses on principal cast\", fontsize=18)\n",
- "plt.legend(fontsize=15, loc = \"lower right\")\n",
- "\n",
- "plt.title(\"Share in principal cast of actresses in all movies, 1980 - 2020\", fontsize=25)\n",
- "plt.savefig('../doc/projectsubmission2022/fig-001_Share-in-principal-cast-of-actresses-in-all-movies-1980-2020.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Result:\n",
- "There is no change in the pattern over the two time frames identifiable.\n",
- "Further, the variation in each year is super high.\n",
- "The mean values do not indicate a high difference between both time frames, but a slightly higher level for the time after 2000 compared to before 2000.\n",
- "The next plot, presents a better insight, zooming into it."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 1152x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot the mean of the share of actresses on principal cast grouped by years\n",
- "plt.figure(figsize=(16,8))\n",
- "plt.scatter(years_1980, mean_1980)\n",
- "plt.scatter(years_2020, mean_2020)\n",
- "plt.title(\"Mean of the share of actresses on principal cast grouped by years\", fontsize=25)\n",
- "plt.xlabel(\"Years\", fontsize=18)\n",
- "plt.ylabel(\"% Share of actresses on principal cast\", fontsize=18)\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Mean values on the right time frame seem to be little higher than the others.\n",
- "Test for significant chances between those time frames will be considered."
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.8"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
- }
|