diff --git a/.gitignore b/.gitignore index 14f9131..25760db 100644 --- a/.gitignore +++ b/.gitignore @@ -141,6 +141,7 @@ dmypy.json !src/analysis/eprints.ipynb *.png +#!data/derived/plots/overall/*.png data/debug/* !data/debug/representative_set.csv diff --git a/src/analysis/eprints.ipynb b/src/analysis/eprints.ipynb index 7e4ac29..c0f17ed 100644 --- a/src/analysis/eprints.ipynb +++ b/src/analysis/eprints.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -17,12 +17,32 @@ "import os\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", + "from matplotlib.ticker import AutoMinorLocator\n", "from datetime import datetime" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "SMALL_SIZE = 24\n", + "MEDIUM_SIZE = 30\n", + "\n", + "plt.rc('font', size=SMALL_SIZE) # controls default text sizes\n", + "#plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title\n", + "plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title\n", + "plt.rc('axes', labelsize=SMALL_SIZE) # fontsize of the x and y labels\n", + "plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels\n", + "plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels\n", + "plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize\n", + "plt.rc('figure', titlesize=MEDIUM_SIZE) # fontsize of the figure title" + ] + }, + { + "cell_type": "code", + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -76,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -91,7 +111,7 @@ " Returns:\n", " pd.DataFrame: cleaned dataset\n", " \"\"\"\n", - " df = df[df.year <= datetime.now().year]\n", + " df = df[df.year <= 2023]\n", " df = df.astype({\"year\": int})\n", " # drop duplicate links in one PDF\n", " if remove_duplicate_pdf_mentions:\n", @@ -104,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -120,24 +140,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 115, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "fig, ax1 = plt.subplots()\n", + "fig1, ax1 = plt.subplots(figsize=(12,6))\n", "colors = ['tab:blue', 'tab:orange']\n", "urls_per_year = df.groupby(\"year\")['github_user_cleaned_url'].count()\n", "urls_per_year.plot(\n", " ax=ax1,\n", " xlabel=\"year\",\n", - " title=\"Total number of GitHub URLs in ePrints publications\",\n", " marker=\"x\",\n", " color=colors[0],\n", - " grid=True\n", ")\n", + "ax1.set_title(\"Total number of GitHub URLs in ePrints publications\",pad=20)\n", "ax1.tick_params(axis='y', labelcolor=colors[0])\n", "ax1.set_ylabel(\"URL count\", color=colors[0])\n", "\n", + "ax1.xaxis.set_minor_locator(AutoMinorLocator(2))\n", + "ax1.grid(which=\"major\")\n", + "ax1.grid(which=\"minor\", linestyle=\"--\")\n", + "\n", "ax2 = ax1.twinx()\n", "pubs_per_year = df.groupby(\"year\")['pdf_url'].nunique()\n", "pubs_per_year.plot(\n", @@ -147,7 +181,7 @@ ")\n", "ax2.tick_params(axis='y', labelcolor=colors[1])\n", "ax2.set_ylabel(\"publication count\", color=colors[1])\n", - "fig.savefig(\"../../data/derived/plots/overall/github_in_eprints.png\", bbox_inches=\"tight\")" + "fig1.savefig(\"../../data/derived/plots/overall/github_in_eprints.png\", bbox_inches=\"tight\", transparent=True)" ] }, { @@ -159,19 +193,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 116, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "fig2, ax3 = plt.subplots()\n", "urls_per_publication = df.groupby([\"year\", \"title\", \"author_for_reference\", \"pdf_url\"])[\"github_user_cleaned_url\"].count().rename(\"url_count\")\n", "urls_per_publication.groupby(\"year\").mean().plot(\n", + " ax=ax3,\n", " xlabel=\"year\",\n", " ylabel=\"mean\",\n", - " title=\"Average number of GitHub URLs in an ePrints publication\",\n", " marker=\"x\",\n", - " grid=True\n", + " figsize=(12, 5)\n", ")\n", - "plt.savefig(\"../../data/derived/plots/overall/avg_github_in_eprints.png\", bbox_inches=\"tight\")" + "\n", + "ax3.xaxis.set_minor_locator(AutoMinorLocator(2))\n", + "ax3.grid(which=\"major\")\n", + "ax3.grid(which=\"minor\", linestyle=\"--\")\n", + "\n", + "ax3.set_title(\"Average number of GitHub URLs in an ePrints publication\", pad=20)\n", + "fig2.savefig(\"../../data/derived/plots/overall/avg_github_in_eprints.png\", transparent=True, bbox_inches=\"tight\")" ] }, { @@ -183,9 +235,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 87, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_29759/1573375001.py:17: UserWarning: Attempt to set non-positive ylim on a log-scaled axis will be ignored.\n", + " ax.set_ylim([0, 10**6])\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "min_one_url = (urls_per_publication > 0).rename(\"min_one_url\").groupby(\"year\").value_counts().rename(\"pub_count\").reset_index()\n", "min_one_url = min_one_url.set_index([\"year\", \"min_one_url\"])\n", @@ -194,12 +265,13 @@ "min_one_url = min_one_url.merge(min_one_url.groupby(\"year\").pub_count.sum().rename(\"total_pubs\"), left_on=\"year\", right_index=True)\n", "percentages = min_one_url[\"pub_count\"] / min_one_url[\"total_pubs\"] * 100\n", "\n", - "#plt.figure(figsize=(6, 9))\n", + "plt.figure(figsize=(12, 6))\n", "ax = sns.barplot(\n", " data=min_one_url.reset_index(),\n", " x=\"year\",\n", " y=\"pub_count\",\n", - " hue=\"min_one_url\"\n", + " hue=\"min_one_url\",\n", + " width=0.9\n", ")\n", "ax.set(yscale=\"log\", ylabel=\"log of publication count\")\n", "ax.set_ylim([0, 10**6])\n", @@ -209,12 +281,13 @@ "ax.bar_label(ax.containers[1], labels=[f\" {p:.2f}%\" for p in percentages[1::2]], rotation=90)\n", "\n", "leg = ax.get_legend()\n", - "leg.set_title(\"no. GitHub links in publication\")\n", + "leg.set_title(\"number of GitHub links\\nin publications\")\n", + "leg.set_bbox_to_anchor((1, 0.5))\n", "new_labels = [\"0\", \"> 0\"]\n", "for t, l in zip(leg.texts, new_labels):\n", " t.set_text(l)\n", "\n", - "plt.title(\"Publications with at least one GitHub URL\")\n", + "plt.title(\"Publications with at least one GitHub URL\", pad=20)\n", "plt.savefig(\"../../data/derived/plots/overall/min_one_github_in_eprints.png\", bbox_inches=\"tight\")" ] }, diff --git a/src/analysis/mention_type_timeline.py b/src/analysis/mention_type_timeline.py index eb662e6..927faa0 100644 --- a/src/analysis/mention_type_timeline.py +++ b/src/analysis/mention_type_timeline.py @@ -2,10 +2,24 @@ import os import pandas as pd import seaborn as sns +import matplotlib +matplotlib.use("Agg") import matplotlib.pyplot as plt import numpy as np from datetime import timedelta +SMALL_SIZE = 24 +MEDIUM_SIZE = 30 + +plt.rc('font', size=SMALL_SIZE) # controls default text sizes +#plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title +plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title +plt.rc('axes', labelsize=SMALL_SIZE) # fontsize of the x and y labels +plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize +plt.rc('figure', titlesize=MEDIUM_SIZE) # fontsize of the figure title + def main(githubdir, outdir): # load data mapping ePrints publication data to intent (produced by repo_intent.py) eprints_df = pd.read_csv(os.path.join(outdir, "eprints_w_intent.csv"), index_col=0) @@ -17,7 +31,7 @@ def main(githubdir, outdir): df["created_at"] = pd.to_datetime(df.created_at) df["mention type"] = np.where(df["mention_created"], "created", "not created") # plot repo creation date against date listed in ePrints entry (assumed to be publication date) - ax = plt.axes() + fig, ax = plt.subplots(figsize=(10,8)) ax.grid(True) xlim = [df["created_at"].min(), df["created_at"].max()] @@ -34,12 +48,18 @@ def main(githubdir, outdir): x = "created_at", y = "eprints_date", hue="mention type", + s=80 ) + + h,l = ax.get_legend_handles_labels() + ax.legend_.remove() + ax.legend(h, l, ncol=2, loc="upper center", bbox_to_anchor=(0.5, 1.13), borderpad=0.2) + ax.set(xlabel="GitHub repository creation date", ylabel="publication date") # it's usually the publication date, though not always - ax.set_title("Mention type depending on distance between repo creation and publication date") + ax.set_title("Mention type depending on difference\nbetween repo creation and publication date", pad=45) plt.tight_layout() - plt.savefig(os.path.join(outdir, "plots/overall/mention_type_timeline.png")) + plt.savefig(os.path.join(outdir, "plots/overall/mention_type_timeline.png"), bbox_inches="tight", transparent=True) if __name__=="__main__": parser = argparse.ArgumentParser( diff --git a/src/analysis/overall.py b/src/analysis/overall.py index 60a0b6c..ac4cf6f 100644 --- a/src/analysis/overall.py +++ b/src/analysis/overall.py @@ -6,9 +6,23 @@ import string import re from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator +import matplotlib +matplotlib.use("Agg") from matplotlib import pyplot as plt from datetime import datetime +SMALL_SIZE = 24 +MEDIUM_SIZE = 30 + +plt.rc('font', size=SMALL_SIZE) # controls default text sizes +#plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title +plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title +plt.rc('axes', labelsize=SMALL_SIZE) # fontsize of the x and y labels +plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize +plt.rc('figure', titlesize=MEDIUM_SIZE) # fontsize of the figure title + def info(verbose, msg): if verbose: print(f"[INFO] {msg}") @@ -51,13 +65,14 @@ def plot_license_type(contents, ax): contents.license == "other", "unknown", "non-permissive"))) # plot value counts contents.license_type.value_counts().sort_index().plot( - kind='bar', + kind='barh', ax=ax, - xlabel="license type", - ylabel="repository count" + #ylabel="license type", + #xlabel="repository count" ) ax.bar_label(ax.containers[0]) - ax.set_xticklabels(ax.get_xticklabels(), rotation=45) + ax.set_title("license type") + #ax.set_xticklabels(ax.get_xticklabels(), rotation=45) def plot_contributing_file_present(contents, ax): """Plot a bar chart visualising the number of repositories with contribution guidelines. @@ -67,13 +82,14 @@ def plot_contributing_file_present(contents, ax): ax (Axes): subplot to use """ pd.notna(contents.contributing_added).value_counts().plot( - kind='bar', + kind='barh', ax=ax, - xlabel="contributing file", - ylabel="repository count" + #ylabel="contributing file", + #xlabel="repository count" ) ax.bar_label(ax.containers[0]) - ax.set_xticklabels(ax.get_xticklabels(), rotation=45) + ax.set_title("contributing file present") + #ax.set_xticklabels(ax.get_xticklabels(), rotation=45) def plot_emojis(contents, ax): """Plot a histogram visualising the number of emojis found in repository READMEs. @@ -88,9 +104,10 @@ def plot_emojis(contents, ax): counts, bins = np.histogram(contents.readme_emojis, bins) binlabels = [f"[{bins[i]} - {bins[i+1]})" for i in range(len(bins)-2)] binlabels += [f"[{bins[-2]} - {bins[-1]}]"] - ax.bar(binlabels, counts) + ax.barh(binlabels, counts) ax.bar_label(ax.containers[0]) - ax.set(xlabel="number of emojis in README", ylabel="repository count") + #ax.set(ylabel="number of emojis in README", xlabel="repository count") + ax.set_title("number of emojis in README") def plot_team_size(metadata, contributions, ax): """Plot a histogram visualising the maximum team size for a repository. @@ -117,9 +134,11 @@ def plot_team_size(metadata, contributions, ax): counts, bins = np.histogram(max_team_size, bins) binlabels = [f"[{bins[i]} - {bins[i+1]})" for i in range(len(bins)-2)] binlabels += [f"[{bins[-2]} - {bins[-1]}]"] - ax.bar(binlabels, counts) + ax.barh(binlabels, counts) ax.bar_label(ax.containers[0]) - ax.set(xlabel="maximum team size", ylabel="repository count") + #ax.set(ylabel="maximum team size", xlabel="repository count") + ax.set(xlabel="repository count") + ax.set_title("maximum team size") def plot_readme_size(contents, ax, type="bar"): """Plot a histogram of the size of the README file found in repositories. The bin limits were chosen empirically. @@ -131,18 +150,20 @@ def plot_readme_size(contents, ax, type="bar"): """ bins = [0, 1, 300, 1500, 10000] binmeanings = ["none", "ultra-short", "short", "informative", "detailed"] + colours = ["#3875b1", "#f1882e", "#4d9d39", "#c73f30", "#8e6aba"] if contents.readme_size.max() > bins[-1]: bins.append(contents.readme_size.max()) counts, bins = np.histogram(contents.readme_size, bins) binlabels = [f"{binmeanings[i]}\n[{bins[i]} - {bins[i+1]})" for i in range(len(bins)-2)] binlabels += [f"{binmeanings[-1]}\n[{bins[-2]} - {bins[-1]}]"] if type=="bar": - ax.bar(binlabels, counts) + ax.barh(binlabels, counts) ax.bar_label(ax.containers[0]) ax.tick_params(axis='x', labelrotation=45) - ax.set(xlabel="size of README in Bytes", ylabel="repository count") + ax.set(ylabel="size of README in Bytes", xlabel="repository count") elif type=="pie": - ax.pie(counts, labels=binlabels, autopct='%1.1f%%') + # remove empty bins + ax.pie(counts[np.nonzero(counts)], labels=np.array(binlabels)[np.nonzero(counts)], autopct='%1.1f%%', colors=np.array(colours)[np.nonzero(counts)]) ax.set(xlabel="size of README in Bytes") def plot_headings(readme_df, ax): @@ -170,8 +191,8 @@ def plot_headings(readme_df, ax): background_color="white", random_state=42 ).generate(" ".join(headings)) - ax.imshow(wordcloud) ax.set_axis_off() + ax.imshow(wordcloud) ax.set(title="README headings") def plot_table(metadata, stars, forks, ax): @@ -189,18 +210,24 @@ def plot_table(metadata, stars, forks, ax): star_counts = stars.groupby("github_user_cleaned_url")["user"].count() star_counts.rename("stars_no", inplace=True) cell_text = [ - [f"{age.mean():.2f}", f"{age.std():.2f}", f"{age.median():.1f}", f"{age.min():.0f}", f"{age.max():.0f}"], - [f"{fork_counts.mean():.2f}", f"{fork_counts.std():.2f}", f"{fork_counts.median():.1f}", f"{fork_counts.min():.0f}", f"{fork_counts.max():.0f}"], - [f"{star_counts.mean():.2f}", f"{star_counts.std():.2f}", f"{star_counts.median():.1f}", f"{star_counts.min():.0f}", f"{star_counts.max():.0f}"] - ] + [f"{age.mean():.2f}", f"{fork_counts.mean():.2f}", f"{star_counts.mean():.2f}"], + [f"{age.std():.2f}", f"{fork_counts.std():.2f}", f"{star_counts.std():.2f}"], + [f"{age.median():.0f}", f"{fork_counts.median():.0f}", f"{star_counts.median():.0f}"], + [f"{age.min():.0f}", f"{fork_counts.min():.0f}", f"{star_counts.min():.0f}"], + [f"{age.max():.0f}", f"{fork_counts.max():.0f}", f"{star_counts.max():.0f}"], + ] table = ax.table(cellText=cell_text, - rowLabels=["age (weeks)", "forks", "stars"], - colLabels=["mean", "std", "median", "min", "max"], - loc='center right' + colLabels=["age (weeks)", "forks", "stars"], + rowLabels=["mean", "std", "median", "min", "max"], + colWidths=[0.4, 0.3, 0.3], + loc='center right', + #bbox=(0, 0, 1, 1) ) - table.scale(0.85, 1) + table.auto_set_font_size(False) + table.set_fontsize(SMALL_SIZE) + table.scale(1, 3) ax.set_axis_off() - ax.set(title="stats") + ax.set_title("Summary statistics", pad=25) def main(data_dir, outdir, verbose, filter_path, tag): info(verbose, "Loading data...") @@ -225,15 +252,15 @@ def main(data_dir, outdir, verbose, filter_path, tag): forks = forks.loc[forks.github_user_cleaned_url.isin(filtered)] info(verbose, "Plotting...") - fig = plt.figure(figsize=(18, 12)) - ax1 = plt.subplot(2, 3, 1) - ax2 = plt.subplot(2, 3, 2) - ax4 = plt.subplot(2, 3, 4) - ax5 = plt.subplot(2, 3, 5) - ax3 = plt.subplot(6, 3, (3, 9)) - ax6 = plt.subplot(6, 3, (12, 15)) - ax7 = plt.subplot(6, 3, 18) - fig.tight_layout(h_pad=1, w_pad=5, rect=(0.05, 0.05, 0.95, 0.95)) + fig = plt.figure(figsize=(20, 18)) + ax5 = plt.subplot(16, 5, (61, 78)) + ax4 = plt.subplot(16, 5, (46, 58), sharex=ax5) + ax2 = plt.subplot(16, 5, (21, 43), sharex=ax5) + ax1 = plt.subplot(16, 5, (1, 18), sharex=ax5) + ax3 = plt.subplot(8, 5, (4, 15)) + ax6 = plt.subplot(8, 5, (19, 30)) + ax7 = plt.subplot(8, 5, (34, 40)) + fig.tight_layout(h_pad=0.5, w_pad=3, rect=(0.05, 0.05, 0.95, 0.95)) plot_license_type(contents, ax1) plot_emojis(contents, ax2) plot_contributing_file_present(contents, ax4) @@ -243,10 +270,10 @@ def main(data_dir, outdir, verbose, filter_path, tag): plot_table(metadata, stars, forks, ax7) if tag: plt.suptitle(f"Overall statistics for ePrints repositories ({tag})") - plt.savefig(os.path.join(outdir, "plots", "overall", f"overall_{tag}.png"), bbox_inches="tight") + plt.savefig(os.path.join(outdir, "plots", "overall", f"overall_{tag}.png"), bbox_inches="tight", transparent=True) else: plt.suptitle("Overall statistics for ePrints repositories") - plt.savefig(os.path.join(outdir, "plots", "overall", "overall.png"), bbox_inches="tight") + plt.savefig(os.path.join(outdir, "plots", "overall", "overall.png"), bbox_inches="tight", transparent=True) if __name__=="__main__": parser = argparse.ArgumentParser( diff --git a/src/analysis/overall_reduced_for_poster.py b/src/analysis/overall_reduced_for_poster.py new file mode 100644 index 0000000..64938a8 --- /dev/null +++ b/src/analysis/overall_reduced_for_poster.py @@ -0,0 +1,269 @@ +import pandas as pd +import numpy as np +import os +import argparse +import ast +import string +import re +from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator +import matplotlib +matplotlib.use("Agg") +from matplotlib import pyplot as plt +from datetime import datetime + +SMALL_SIZE = 24 +MEDIUM_SIZE = 30 + +plt.rc('font', size=SMALL_SIZE) # controls default text sizes +#plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title +plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title +plt.rc('axes', labelsize=SMALL_SIZE) # fontsize of the x and y labels +plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels +plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize +plt.rc('figure', titlesize=MEDIUM_SIZE) # fontsize of the figure title + +def info(verbose, msg): + if verbose: + print(f"[INFO] {msg}") + +def clean_heading(h): + """Clean and normalise extracted headings. + + Args: + h (str): heading text + + Returns: + str: cleaned heading + """ + # remove leading non-word characters + to_remove = string.digits + string.whitespace + ".:" + h = h.lstrip(to_remove) + # remove markdown-style links + pattern = r"\[(.+?)\]\(.+?\)" + h = re.sub(pattern, r'\1', h, count=0) + # remove any punctuation and convert to lower-case + h = h.replace(string.punctuation, "") + h = h.strip(string.punctuation) + h = h.lower() + return h + +def plot_license_type(contents, ax): + """Plot a bar chart indicating the number of repositories with permissive, non-permissive, unknown type license or no license at all. + + Args: + contents (pd.DataFrame): contents data mined from GitHub + ax (Axes): subplot to use + """ + contents = contents.copy() + permissive_licenses = ["mit", "gpl-3.0", "apache-2.0", "bsd-3-clause", "gpl-2.0", "bsd-2-clause"] # https://en.wikipedia.org/wiki/Permissive_software_license + contents.license = contents.license.fillna('None') + # If not permissive, check if it's non-existent or type other, otherwise class as non-permissive + contents["license_type"] = np.where( + contents.license.isin(permissive_licenses), "permissive", np.where( + contents.license == "None", "None", np.where( + contents.license == "other", "unknown", "non-permissive"))) + # plot value counts + contents.license_type.value_counts().sort_index().plot( + kind='barh', + ax=ax, + #ylabel="license type", + #xlabel="repository count" + ) + ax.bar_label(ax.containers[0]) + ax.set_title("license type") + #ax.set_xticklabels(ax.get_xticklabels(), rotation=45) + +def plot_contributing_file_present(contents, ax): + """Plot a bar chart visualising the number of repositories with contribution guidelines. + + Args: + contents (pd.DataFrame): contents data mined from GitHub + ax (Axes): subplot to use + """ + pd.notna(contents.contributing_added).value_counts().plot( + kind='barh', + ax=ax, + #ylabel="contributing file", + #xlabel="repository count" + ) + ax.bar_label(ax.containers[0]) + ax.set_title("contributing file present") + #ax.set_xticklabels(ax.get_xticklabels(), rotation=45) + +def plot_team_size(metadata, contributions, ax): + """Plot a histogram visualising the maximum team size for a repository. + + Args: + metadata (pd.DataFrame): metadata mined from GitHub + contributions (pd.DataFrame): contributions (i.e. commit) data mined from GitHub + ax (Axes): subplot to use + """ + contrib_df = pd.merge(metadata[["github_user_cleaned_url", "created_at"]], contributions) + # add week timeline info + contrib_df["week_since_repo_creation"] = (contrib_df.week_co - contrib_df.created_at).dt.days // 7 + team_df = contrib_df[["github_user_cleaned_url", "author", "week_since_repo_creation", "commits"]].set_index(["github_user_cleaned_url", "author", "week_since_repo_creation"]).sort_index() + # user is considered an active contributor if they made at least one commit in the last 12 weeks + windowed_team_df = team_df.groupby(level="author").rolling(window=12, min_periods=0).sum().droplevel(0) + windowed_team_df["active contributors"] = windowed_team_df.commits > 0 + # team size: number of active contributors within one week + team_size = windowed_team_df.groupby(level=["github_user_cleaned_url", "week_since_repo_creation"])["active contributors"].value_counts()[:,:,True] + max_team_size = team_size.groupby(level="github_user_cleaned_url").max() + # plot histogram + bins = [1, 2, 5, 10] + if max_team_size.max() > bins[-1]: + bins.append(max_team_size.max()) + counts, bins = np.histogram(max_team_size, bins) + binlabels = [f"[{bins[i]} - {bins[i+1]})" for i in range(len(bins)-2)] + binlabels += [f"[{bins[-2]} - {bins[-1]}]"] + ax.barh(binlabels, counts) + ax.bar_label(ax.containers[0]) + #ax.set(ylabel="maximum team size", xlabel="repository count") + ax.set(xlabel="repository count") + ax.set_title("maximum team size") + +def plot_readme_size(contents, ax, type="bar"): + """Plot a histogram of the size of the README file found in repositories. The bin limits were chosen empirically. + + Args: + contents (pd.DataFrame): contents data mined from GitHub + ax (Axes): subplot to use + type (str, optional): plot type, can be "bar" or "pie". Defaults to "bar". + """ + bins = [0, 1, 300, 1500, 10000] + binmeanings = ["none", "ultra-short", "short", "informative", "detailed"] + colours = ["#3875b1", "#f1882e", "#4d9d39", "#c73f30", "#8e6aba"] + if contents.readme_size.max() > bins[-1]: + bins.append(contents.readme_size.max()) + counts, bins = np.histogram(contents.readme_size, bins) + binlabels = [f"{binmeanings[i]}\n[{bins[i]} - {bins[i+1]})" for i in range(len(bins)-2)] + binlabels += [f"{binmeanings[-1]}\n[{bins[-2]} - {bins[-1]}]"] + if type=="bar": + ax.barh(binlabels, counts) + ax.bar_label(ax.containers[0]) + ax.tick_params(axis='x', labelrotation=45) + ax.set(ylabel="size of README in Bytes", xlabel="repository count") + elif type=="pie": + # remove empty bins + ax.pie(counts[np.nonzero(counts)], labels=np.array(binlabels)[np.nonzero(counts)], autopct='%1.1f%%', colors=np.array(colours)[np.nonzero(counts)]) + ax.set(xlabel="size of README in Bytes") + +def plot_headings(readme_df, ax): + """Plot a wordcloud from the headings used in README files. Excludes some manually defined words that skew the results too much to be meaningful. + + Args: + readme_df (pd.DataFrame): readme history data mined from GitHub, including all headings ever added to the README + ax (Axes): subplot to use + """ + # clean any existing headings + headings = [] + for l in readme_df.added_headings.dropna(): + headings += ast.literal_eval(l) + headings = [clean_heading(h) for h in headings] + + # manually exclude words that were found to skew the distribution + stopwords = STOPWORDS + custom = set(["trades", "glosat", "glosat_table_dataset", "nilmtk", "bert", "lemon", "cascadetabnet"]) + stopwords = stopwords.union(custom) + # plot wordcloud + wordcloud = WordCloud( + collocation_threshold=15, + stopwords=stopwords, + scale=10, + background_color="white", + random_state=42 + ).generate(" ".join(headings)) + ax.set_axis_off() + ax.imshow(wordcloud) + ax.set(title="README headings") + +def plot_table(metadata, stars, forks, ax): + """Add a table with basic stats (repository age, fork counts, star counts). + + Args: + metadata (pd.DataFrame): metadata mined from GitHub. + stars (pd.DataFrame): stars data mined from GitHub. + forks (pd.DataFrame): forks data mined from GitHub. + ax (Axes): subplot to use + """ + age = (datetime.today() - metadata["created_at"]).dt.days // 7 + fork_counts = forks.groupby("github_user_cleaned_url")["user"].count() + fork_counts.rename("forks_no", inplace=True) + star_counts = stars.groupby("github_user_cleaned_url")["user"].count() + star_counts.rename("stars_no", inplace=True) + cell_text = [ + [f"{age.mean():.2f}", f"{fork_counts.mean():.2f}", f"{star_counts.mean():.2f}"], + [f"{age.std():.2f}", f"{fork_counts.std():.2f}", f"{star_counts.std():.2f}"], + [f"{age.median():.0f}", f"{fork_counts.median():.0f}", f"{star_counts.median():.0f}"], + [f"{age.min():.0f}", f"{fork_counts.min():.0f}", f"{star_counts.min():.0f}"], + [f"{age.max():.0f}", f"{fork_counts.max():.0f}", f"{star_counts.max():.0f}"], + ] + table = ax.table(cellText=cell_text, + colLabels=["age (weeks)", "forks", "stars"], + rowLabels=["mean", "std", "median", "min", "max"], + colWidths=[0.4, 0.3, 0.3], + loc='center right', + #bbox=(0, 0, 1, 1) + ) + table.auto_set_font_size(False) + table.set_fontsize(SMALL_SIZE) + table.scale(1, 3) + ax.set_axis_off() + ax.set_title("Summary statistics", pad=25) + +def main(data_dir, outdir, verbose, filter_path, tag): + info(verbose, "Loading data...") + contents = pd.read_csv(os.path.join(data_dir, "contents.csv"), index_col=0) + metadata = pd.read_csv(os.path.join(data_dir, "metadata.csv"), index_col=0) + metadata["created_at"] = pd.to_datetime(metadata.created_at) + contributions = pd.read_csv(os.path.join(data_dir, "contributions.csv"), index_col=0) + contributions["week_co"] = pd.to_datetime(contributions.week_co) + readme_df = pd.read_csv(os.path.join(data_dir, "readme_history.csv"), index_col=0) + stars = pd.read_csv(os.path.join(data_dir, "stars.csv"), index_col=0) + forks = pd.read_csv(os.path.join(data_dir, "forks.csv"), index_col=0) + + if filter_path is not None: # e.g. filter for high-interest repositories based on a txt file containing a list of those + info(verbose, "Filtering data...") + with open(filter_path, "r") as f: + filtered = [line.rstrip() for line in f] + contents = contents.loc[contents.github_user_cleaned_url.isin(filtered)] + metadata = metadata.loc[metadata.github_user_cleaned_url.isin(filtered)] + contributions = contributions.loc[contributions.github_user_cleaned_url.isin(filtered)] + readme_df = readme_df.loc[readme_df.github_user_cleaned_url.isin(filtered)] + stars = stars.loc[stars.github_user_cleaned_url.isin(filtered)] + forks = forks.loc[forks.github_user_cleaned_url.isin(filtered)] + + info(verbose, "Plotting...") + fig = plt.figure(figsize=(20, 15)) + ax5 = plt.subplot(8, 5, (26, 38)) + ax4 = plt.subplot(8, 5, (16, 23), sharex=ax5) + ax1 = plt.subplot(8, 5, (1, 13), sharex=ax5) + ax3 = plt.subplot(8, 5, (4, 15)) + ax6 = plt.subplot(8, 5, (19, 30)) + ax7 = plt.subplot(8, 5, (34, 40)) + fig.tight_layout(h_pad=0.5, w_pad=3, rect=(0.05, 0.05, 0.95, 0.95)) + plot_license_type(contents, ax1) + plot_contributing_file_present(contents, ax4) + plot_team_size(metadata, contributions, ax5) + plot_readme_size(contents, ax3, type="pie") + plot_headings(readme_df, ax6) + plot_table(metadata, stars, forks, ax7) + if tag: + plt.suptitle(f"Overall statistics for ePrints repositories ({tag})") + plt.savefig(os.path.join(outdir, "plots", "overall", f"overall_reduced_{tag}.png"), bbox_inches="tight", transparent=True) + else: + plt.suptitle("Overall statistics for ePrints repositories") + plt.savefig(os.path.join(outdir, "plots", "overall", "overall_reduced.png"), bbox_inches="tight", transparent=True) + +if __name__=="__main__": + parser = argparse.ArgumentParser( + prog="overall", + description="Plot overall repo analysis." + ) + parser.add_argument("--datadir", default="../../data/raw/github", type=str, help="path to GitHub data directory") + parser.add_argument("--outdir", default="../../data/derived", type=str, help="path to output data directory") + parser.add_argument("-v", "--verbose", action="store_true", help="enable verbose output") + parser.add_argument("--filter", type=str, help="path to file listing the repos that should be considered") + parser.add_argument("--tag", type=str, help="tag to add to the filename, e.g. to indicate that the repositories were filtered") + args = parser.parse_args() + main(args.datadir, args.outdir, args.verbose, args.filter, args.tag) \ No newline at end of file