/
plotter.py
653 lines (562 loc) · 27.3 KB
/
plotter.py
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#!/usr/bin/python
from math import ceil,floor, exp, log
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.cm as mplcm
import matplotlib.colors as colors
from numpy import median, percentile, zeros
from scipy.stats import pearsonr
from util import cumsum, get_ylims
def plot_day(plotinfo,axisinfo,fileformat="pdf",ylims=(None,None)):
if ylims[0]:
axisinfo["ylim"]["start"] = ylims[0]
if ylims[1]:
axisinfo["ylim"]["end"] = ylims[1]
cm = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=len(plotinfo)-1)
scalarMap = mplcm.ScalarMappable(norm=cNorm, cmap=cm)
xticks = ["" for i in range(24)]
for i in range(8):
xticks[3*i] = str(3*i)+"h"
fig = plt.figure(figsize=(11.7, 8.3))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
ax = fig.add_subplot(111)
ax.set_color_cycle([scalarMap.to_rgba(i) for i,entry in enumerate(plotinfo)])
# ax.set_xlabel(r'',size=28)
ax.set_ylabel(axisinfo["ylabel"],size=28)
for entry in sorted(plotinfo):
plt.plot(plotinfo[entry]["x"], plotinfo[entry]["y"], plotinfo[entry]["line_style"], label=plotinfo[entry]["label"], lw = 2)
ax.set_xlim(0,23)
ax.set_ylim(axisinfo["ylim"]["start"],axisinfo["ylim"]["end"])
plt.xticks(range(24), xticks, rotation=0, size=22)
plt.yticks(size=22)
ax.legend(loc=0, ncol=1)
plt.savefig("plots/"+axisinfo["filename"]+"."+fileformat, dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.draw()
# plt.show()
plt.close(fig)
def plot_week(plotinfo,axisinfo,fileformat="pdf",ylims=(None,None)):
if ylims[0]:
axisinfo["ylim"]["start"] = ylims[0]
if ylims[1]:
axisinfo["ylim"]["end"] = ylims[1]
cm = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=len(plotinfo)-1)
scalarMap = mplcm.ScalarMappable(norm=cNorm, cmap=cm)
xticks = ["" for i in range(7*24)]
xticks[0] = "Mon"
xticks[24] = "Tue"
xticks[48] = "Wed"
xticks[72] = "Thu"
xticks[96] = "Fri"
xticks[120] = "Sat"
xticks[144] = "Sun"
for i in range(7):
xticks[i*24+12] = "12h"
fig = plt.figure(figsize=(11.7, 8.3))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
ax = fig.add_subplot(111)
ax.set_color_cycle([scalarMap.to_rgba(i) for i,entry in enumerate(plotinfo)])
# ax.set_xlabel(r'',size=28)
ax.set_ylabel(axisinfo["ylabel"],size=28)
ax.fill_between(range(24), 0, axisinfo["ylim"]["end"], color='0.75')
ax.fill_between(range(48,72), 0, axisinfo["ylim"]["end"], color='0.75')
ax.fill_between(range(96,120), 0, axisinfo["ylim"]["end"], color='0.75')
ax.fill_between(range(144,168), 0, axisinfo["ylim"]["end"], color='0.75')
for entry in sorted(plotinfo):
plt.plot(plotinfo[entry]["x"], plotinfo[entry]["y"], plotinfo[entry]["line_style"], label=plotinfo[entry]["label"], lw = 2)
ax.set_xlim(0,167)
ax.set_ylim(axisinfo["ylim"]["start"],axisinfo["ylim"]["end"])
plt.xticks(range(7*24), xticks, rotation="horizontal", size=22)
plt.yticks(size=22)
ax.legend(loc=0, ncol=1)
plt.savefig("plots/"+axisinfo["filename"]+"."+fileformat, dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.draw()
# plt.show()
plt.close(fig)
def plot_pattern(plotinfo,axisinfo):
fig = plt.figure(figsize=(11.7, 8.3))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
ax = fig.add_subplot(111)
ax.set_title(axisinfo['title'],size=28)
# ax.set_xlabel(axisinfo["xlabel"],size=28)
ax.set_ylabel(axisinfo["ylabel"],size=28)
i=0
while i < len(axisinfo["xticks"]):
if axisinfo["ylim"]["start"] < 0:
ax.fill_between(range(24+48*i,48*(i+1)), axisinfo["ylim"]["start"], axisinfo["ylim"]["end"], color='0.75')
else:
ax.fill_between(range(24+48*i,48*(i+1)), 0, axisinfo["ylim"]["end"], color='0.75')
i+=1
for entry in sorted(plotinfo):
plt.plot(plotinfo[entry]["x"], plotinfo[entry]["y"], plotinfo[entry]["line_style"], color=plotinfo[entry]["line_color"], label=plotinfo[entry]["label"], lw = 2)
if axisinfo["xlim"]["start"] < 0:
ax.set_xlim(axisinfo["xlim"]["start"],axisinfo["xlim"]["end"])
else:
ax.set_xlim(0,axisinfo["xlim"]["end"])
ax.set_ylim(axisinfo["ylim"]["start"],axisinfo["ylim"]["end"])
# if axisinfo["ylim"]["start"] < 0:
# ax.set_ylim(axisinfo["ylim"]["start"],axisinfo["ylim"]["end"])
# else:
# ax.set_ylim(0,axisinfo["ylim"]["end"])
plt.xticks(xrange(len(axisinfo["xticks"])), axisinfo["xticks"], rotation="horizontal", size=22)
plt.yticks(size=22)
ax.legend(loc=0, ncol=1)
plt.savefig("plots/"+axisinfo["filename"]+".pdf", dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.draw()
# plt.show()
plt.close(fig)
def plot_articles(average,articles,pattern,plotfolder,plot_all):
plot_art(average,pattern,plotfolder)
if plot_all:
for art in articles:
try:
plot_art(art,pattern,plotfolder)
except UnicodeDecodeError:
print art.title
def plot_art(art,pattern,plotfolder):
xticks = ["" for _ in art.views]
i = 0
while i < len(art.views):
xticks[i] = str(i%24)+"h"
i+=6
max_length = len(art.views)
log_estimate = zeros(max_length).tolist()
if art.pattern.has_gamma:
log_estimate[art.pattern.start:art.pattern.length*24] = [log(art.red_views[art.pattern.start])+log(art.beta)*x for x in range(art.pattern.length*24)]
log_estimate[art.pattern.length*24:max_length] = [log(art.red_views[art.pattern.start])+log(art.gamma)+log(art.beta)*(x-1) for x in range(art.pattern.length*24,max_length)]
else:
log_estimate[art.pattern.start:art.pattern.start+art.pattern.length*24] = [log(art.red_views[art.pattern.start])+log(art.beta)*x for x in range(art.pattern.length*24)]
estimate = [exp(log_estimate[x]) for x in range(max_length)]
plotinfo = {"normal": {}, "estimate": {}, "model": {}}
plotinfo["normal"]["x"] = xrange(len(art.views))
plotinfo["normal"]["y"] = art.views
plotinfo["normal"]["line_style"] = '-'
plotinfo["normal"]["line_color"] = 'blue'
plotinfo["normal"]["label"] = "Page-views"
plotinfo["model"]["x"] = xrange(len(art.views))
plotinfo["model"]["y"] = estimate
plotinfo["model"]["line_style"] = '--'
plotinfo["model"]["line_color"] = 'green'
plotinfo["model"]["label"] = "Model"
plotinfo["estimate"]["x"] = xrange(len(art.views))
plotinfo["estimate"]["y"] = art.est_params
plotinfo["estimate"]["line_style"] = '--'
plotinfo["estimate"]["line_color"] = 'red'
if pattern.has_gamma:
plotinfo["estimate"]["label"] = r"Estimated views ($\beta,\gamma$)"
plotinfo["gamma"] = {}
plotinfo["gamma"]["x"] = xrange(len(art.views))
plotinfo["gamma"]["y"] = art.est_gamma_func
plotinfo["gamma"]["line_style"] = '--'
plotinfo["gamma"]["line_color"] = 'black'
plotinfo["gamma"]["label"] = r"Estimated views ($\beta,\gamma(v_1)$)"
else:
plotinfo["estimate"]["label"] = r"Estimated views ($\beta$)"
axisinfo = {"filename": plotfolder+art.link_title, "ylabel": r'Number of page-views', "xticks": xticks, "title": "Hourly progression of "+art.title, "xlim": {"start": 0, "end": len(xticks)}, "ylim": get_ylims(plotinfo)}
plot_pattern(plotinfo,axisinfo)
plotinfo = {"cumsum": {}}
plotinfo["cumsum"]
plotinfo["cumsum"]["x"] = xrange(len(art.views))
plotinfo["cumsum"]["y"] = cumsum(art.views)
plotinfo["cumsum"]["line_style"] = '-'
plotinfo["cumsum"]["line_color"] = 'blue'
plotinfo["cumsum"]["label"] = "Cumulative views"
axisinfo = {"filename": plotfolder+"cum_"+art.link_title, "ylabel": r'Cumulative number of page-views', "xticks": xticks, "title": "Cumulative progression of "+art.title, "xlim": {"start": 0, "end": len(xticks)}, "ylim": get_ylims(plotinfo)}
plot_pattern(plotinfo,axisinfo)
plotinfo = {"normalized": {}}
plotinfo["normalized"]
plotinfo["normalized"]["x"] = xrange(len(art.views))
plotinfo["normalized"]["y"] = art.norm_views
plotinfo["normalized"]["line_style"] = '-'
plotinfo["normalized"]["line_color"] = 'blue'
plotinfo["normalized"]["label"] = "Normalized views"
axisinfo = {"filename": plotfolder+"norm_"+art.link_title, "ylabel": r'Number of page-views', "xticks": xticks, "title": "Hourly progression of "+art.title, "xlim": {"start": 0, "end": len(xticks)}, "ylim": {"start": 0, "end": ceil(max(plotinfo["normalized"]["y"])*100)/100}}
plot_pattern(plotinfo,axisinfo)
def plot_errors(perc_errors,abs_errors,plotfolder,pattern):
absinfo = {}
percinfo = {}
a = len(list(median(abs_errors["params"],axis=0)))
xticks = ["" for _ in range(a)]
i = 0
while i < a:
xticks[i] = str(i%24)+"h"
i+=6
if pattern.has_gamma:
absinfo["abs_median_param"] = {"x": range(a), "y": list(median(abs_errors["params"],axis=0)), "line_style": "-", "line_color": "red", "label": r"median ($\beta$,$\gamma$)"}
absinfo["abs_p25_param"] = {"x": range(a), "y": list(percentile(abs_errors["params"],25,axis=0)), "line_style": "--", "line_color": "red", "label": r"25-quantile ($\beta$,$\gamma$)"}
absinfo["abs_p75_param"] = {"x": range(a), "y": list(percentile(abs_errors["params"],75,axis=0)), "line_style": "--", "line_color": "red", "label": r"75-quantile ($\beta$,$\gamma$)"}
percinfo["perc_median_param"] = {"x": range(a), "y": list(median(perc_errors["params"],axis=0)), "line_style": "-", "line_color": "red", "label": r"median ($\beta$,$\gamma$)"}
percinfo["perc_p25_param"] = {"x": range(a), "y": list(percentile(perc_errors["params"],25,axis=0)), "line_style": "--", "line_color": "red", "label": r"25-quantile ($\beta$,$\gamma$)"}
percinfo["perc_p75_param"] = {"x": range(a), "y": list(percentile(perc_errors["params"],75,axis=0)), "line_style": "--", "line_color": "red", "label": r"75-quantile ($\beta$,$\gamma$)"}
absinfo["abs_median_gamma"] = {"x": range(a), "y": list(median(abs_errors["gamma_func"],axis=0)), "line_style": "-", "line_color": "blue", "label": r"median ($\beta$, $\gamma(v_1)$)"}
absinfo["abs_p25_gamma"] = {"x": range(a), "y": list(percentile(abs_errors["gamma_func"],25,axis=0)), "line_style": "--", "line_color": "blue", "label": r"25-quantile ($\beta$, $\gamma(v_1)$)"}
absinfo["abs_p75_gamma"] = {"x": range(a), "y": list(percentile(abs_errors["gamma_func"],75,axis=0)), "line_style": "--", "line_color": "blue", "label": r"75-quantile ($\beta$, $\gamma(v_1)$)"}
percinfo["perc_median_gamma"] = {"x": range(a), "y": list(median(perc_errors["gamma_func"],axis=0)), "line_style": "-", "line_color": "blue", "label": r"median ($\beta$, $\gamma(v_1)$)"}
percinfo["perc_p25_gamma"] = {"x": range(a), "y": list(percentile(perc_errors["gamma_func"],25,axis=0)), "line_style": "--", "line_color": "blue", "label": r"25-quantile ($\beta$, $\gamma(v_1)$)"}
percinfo["perc_p75_gamma"] = {"x": range(a), "y": list(percentile(perc_errors["gamma_func"],75,axis=0)), "line_style": "--", "line_color": "blue", "label": r"75-quantile ($\beta$, $\gamma(v_1)$)"}
else:
absinfo["abs_median_param"] = {"x": range(a), "y": list(median(abs_errors["params"],axis=0)), "line_style": "-", "line_color": "red", "label": r"median ($\beta$)"}
absinfo["abs_p25_param"] = {"x": range(a), "y": list(percentile(abs_errors["params"],25,axis=0)), "line_style": "--", "line_color": "red", "label": r"25-quantile ($\beta$)"}
absinfo["abs_p75_param"] = {"x": range(a), "y": list(percentile(abs_errors["params"],75,axis=0)), "line_style": "--", "line_color": "red", "label": r"75-quantile ($\beta$)"}
percinfo["perc_median_param"] = {"x": range(a), "y": list(median(perc_errors["params"],axis=0)), "line_style": "-", "line_color": "red", "label": r"median ($\beta$)"}
percinfo["perc_p25_param"] = {"x": range(a), "y": list(percentile(perc_errors["params"],25,axis=0)), "line_style": "--", "line_color": "red", "label": r"25-quantile ($\beta$)"}
percinfo["perc_p75_param"] = {"x": range(a), "y": list(percentile(perc_errors["params"],75,axis=0)), "line_style": "--", "line_color": "red", "label": r"75-quantile ($\beta$)"}
mins = []
maxs = []
for entry in absinfo:
mins.append(min(absinfo[entry]["y"]))
maxs.append(max(absinfo[entry]["y"]))
abs_axisinfo = {"filename": plotfolder+pattern.title.replace(" ","_")+"_abs_error", "ylabel": "Error in page-view prediction", "xticks": xticks[:a], "title": "Plot of hourly error"}
abs_axisinfo["ylim"] = {}
abs_axisinfo["ylim"]["start"] = floor(float(min(mins))/100)*100
abs_axisinfo["ylim"]["end"] = ceil(float(max(maxs))/100)*100
abs_axisinfo["xlim"] = {}
abs_axisinfo["xlim"]["start"] = 0
abs_axisinfo["xlim"]["end"] = a
plot_pattern(absinfo,abs_axisinfo)
mins = []
maxs = []
for entry in percinfo:
mins.append(min(percinfo[entry]["y"]))
maxs.append(max(percinfo[entry]["y"]))
axisinfo = {"filename": plotfolder+pattern.title.replace(" ","_")+"_perc_error", "ylabel": "Normalized error in page-view prediction", "xticks": xticks[:a], "title": "Plot of normalized hourly error"}
axisinfo["ylim"] = {}
axisinfo["ylim"]["start"] = floor(float(min(mins))*10)/10
axisinfo["ylim"]["end"] = ceil(float(max(maxs))*10)/10
axisinfo["xlim"] = {}
axisinfo["xlim"]["start"] = 0
axisinfo["xlim"]["end"] = a
plot_pattern(percinfo,axisinfo)
def plot_cycles(cycles,prefix,yearly=False,monthly=False):
weekly_plotinfo = {"normal": {}}
weekly_plotinfo["normal"]["x"] = xrange(7*24)
weekly_plotinfo["normal"]["y"] = cycles.weekly
weekly_plotinfo["normal"]["line_style"] = '-'
weekly_plotinfo["normal"]["line_color"] = 'blue'
weekly_plotinfo["normal"]["label"] = "Total"
weekly_axisinfo = {"filename": prefix+"weekly", "ylabel": r'Number of page-views', "ylim": get_ylims(weekly_plotinfo)}
plot_week(weekly_plotinfo,weekly_axisinfo)
daily_plotinfo = {"normal": {}}
daily_plotinfo["normal"]["x"] = range(24)
daily_plotinfo["normal"]["y"] = cycles.hourly
daily_plotinfo["normal"]["line_style"] = '-'
daily_plotinfo["normal"]["line_color"] = 'blue'
daily_plotinfo["normal"]["label"] = "Total"
daily_axisinfo = {"filename": prefix+"hourly", "ylabel": r'Number of page-views', "ylim": get_ylims(daily_plotinfo)}
plot_day(daily_plotinfo,daily_axisinfo)
if yearly:
plot_yearly_cycles(cycles.yearly_cycles,prefix)
if monthly:
plot_monthly_cycles(cycles.monthly_cycles,prefix)
def plot_yearly_cycles(yearly_cycles,prefix,ylims=(None,None)):
weekly_plotinfo = {}
daily_plotinfo = {}
for year in yearly_cycles.keys():
weekly_plotinfo[year] = {}
weekly_plotinfo[year]["x"] = range(7*24)
weekly_plotinfo[year]["y"] = yearly_cycles[year]["weekly"]
weekly_plotinfo[year]["line_style"] = "-"
weekly_plotinfo[year]["label"] = "Total: " + str(year)
daily_plotinfo[year] = {}
daily_plotinfo[year]["x"] = range(24)
daily_plotinfo[year]["y"] = yearly_cycles[year]["hourly"]
daily_plotinfo[year]["line_style"] = "-"
daily_plotinfo[year]["label"] = "Total: " + str(year)
weekly_axisinfo = {"filename": prefix+"per_year_weekly", "ylabel": r'Number of page-views', "ylim": get_ylims(weekly_plotinfo)}
plot_week(weekly_plotinfo,weekly_axisinfo,ylims=ylims)
daily_axisinfo = {"filename": prefix+"per_year_hourly", "ylabel": r'Number of page-views', "ylim": get_ylims(daily_plotinfo)}
plot_day(daily_plotinfo,daily_axisinfo,ylims=ylims)
def plot_monthly_cycles(monthly_cycles,prefix,ylims=(None,None)):
weekly_plotinfo = {}
daily_plotinfo = {}
for month in monthly_cycles.keys():
weekly_plotinfo[month] = {}
weekly_plotinfo[month]["x"] = range(7*24)
weekly_plotinfo[month]["y"] = monthly_cycles[month]["weekly"]
weekly_plotinfo[month]["line_style"] = "-"
weekly_plotinfo[month]["label"] = "Total: " + month
daily_plotinfo[month] = {}
daily_plotinfo[month]["x"] = range(24)
daily_plotinfo[month]["y"] = monthly_cycles[month]["hourly"]
daily_plotinfo[month]["line_style"] = "-"
daily_plotinfo[month]["label"] = "Total: " + month
weekly_axisinfo = {"filename": prefix+"per_month_weekly", "ylabel": r'Number of page-views', "ylim": get_ylims(weekly_plotinfo)}
plot_week(weekly_plotinfo,weekly_axisinfo,ylims=ylims)
daily_axisinfo = {"filename": prefix+"per_month_hourly", "ylabel": r'Number of page-views', "ylim": get_ylims(daily_plotinfo)}
plot_day(daily_plotinfo,daily_axisinfo,ylims=ylims)
def plot_twin_cycles(plotinfo,axisinfo,timeLength,fileformat="pdf"):
cm = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=len(plotinfo)-1)
scalarMap = mplcm.ScalarMappable(norm=cNorm, cmap=cm)
if timeLength == "day":
xticks = ["" for i in range(24)]
for i in range(8):
xticks[3*i] = str(3*i)+"h"
elif timeLength == "week":
xticks = ["" for i in range(7*24)]
xticks[0] = "Mon"
xticks[24] = "Tue"
xticks[48] = "Wed"
xticks[72] = "Thu"
xticks[96] = "Fri"
xticks[120] = "Sat"
xticks[144] = "Sun"
for i in range(7):
xticks[i*24+12] = "12h"
fig = plt.figure(figsize=(11.7, 8.3))
ax = fig.add_subplot(111)
if timeLength == "day":
# ax.set_title(r"Daily average",size=28)
ax.set_xlim(0,23)
plt.xticks(range(24), xticks, rotation=0, size=22)
elif timeLength == "week":
# ax.set_title(r"Weekly average",size=28)
ax.fill_between(range(24), 0, axisinfo["ylim"]["total"]["end"], color='0.75')
ax.fill_between(range(48,72), 0, axisinfo["ylim"]["total"]["end"], color='0.75')
ax.fill_between(range(96,120), 0, axisinfo["ylim"]["total"]["end"], color='0.75')
ax.fill_between(range(144,168), 0, axisinfo["ylim"]["total"]["end"], color='0.75')
ax.set_xlim(0,167)
plt.xticks(range(7*24), xticks, rotation="horizontal", size=22)
# ax.set_xlabel(r'',size=28)
ax.set_ylabel(axisinfo["ylabel"],size=28)
ax.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
main = ax.plot(plotinfo["main"]["x"], plotinfo["main"]["y"], "-k", label=plotinfo["main"]["label"], lw = 2)
ax.set_ylim(axisinfo["ylim"]["main"]["start"],axisinfo["ylim"]["main"]["end"])
ax2 = ax.twinx()
total = ax2.plot(plotinfo["total"]["x"], plotinfo["total"]["y"], "-b", label=plotinfo["total"]["label"], lw = 2)
ax2.set_ylabel(axisinfo["ylabel"],size=28,color="b")
ax2.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
ax2.set_ylim(axisinfo["ylim"]["total"]["start"],axisinfo["ylim"]["total"]["end"])
for tl in ax.get_yticklabels():
tl.set_fontsize(22)
for tl in ax2.get_yticklabels():
tl.set_color('b')
tl.set_fontsize(22)
lns = main+total
labels = [l.get_label() for l in lns]
ax.legend(lns,labels,loc=0, ncol=1)
plt.savefig("plots/"+axisinfo["filename"]+"."+fileformat, dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.draw()
# plt.show()
plt.close(fig)
def plot_gamma_corr(articles,gamma_func,plotfolder):
""" Plots related to the gamma function based on v_1 """
gamma_list = []
v1_list = []
rej_gam_list = []
rej_v1_list = []
for art in articles:
err = False
try:
log(art.gamma)
log(art.views[0])
except ValueError as e:
if str(e) == "math domain error":
err = True
else:
raise e
if err:
rej_gam_list.append(art.gamma)
rej_v1_list.append(art.views[0])
else:
gamma_list.append(art.gamma)
v1_list.append(art.views[0])
# if -4 < log(art.gamma) < 0.3:
# try:
# if 5 < log(art.views[0]) < 10:
# gamma_list.append(art.gamma)
# v1_list.append(art.views[0])
# else:
# rej_gam_list.append(art.gamma)
# rej_v1_list.append(art.views[0])
# except ValueError:
# pass
# else:
# rej_gam_list.append(art.gamma)
# rej_v1_list.append(art.views[0])
xval = [100*x for x in range(181)]
xval[0] = 1
yval = [exp(log(x)*gamma_func[0]+gamma_func[1]) for x in xval]
r, prob = pearsonr(v1_list,gamma_list)
suptitle = r'$v_1$ vs $\gamma$ (Pearson: %.4f)' % r
corr_scatterinfo = {"good": {}, "rejected": {}}
corr_scatterinfo["good"]["x"] = v1_list
corr_scatterinfo["good"]["y"] = gamma_list
corr_scatterinfo["good"]["markersize"] = 25
corr_scatterinfo["good"]["color"] = 'blue'
corr_scatterinfo["good"]["marker"] = 'o'
corr_scatterinfo["good"]["label"] = 'article'
corr_scatterinfo["rejected"]["x"] = rej_v1_list
corr_scatterinfo["rejected"]["y"] = rej_gam_list
corr_scatterinfo["rejected"]["markersize"] = 25
corr_scatterinfo["rejected"]["color"] = 'red'
corr_scatterinfo["rejected"]["marker"] = 's'
corr_scatterinfo["rejected"]["label"] = 'out-lier'
corr_plotinfo = {"line": {}}
corr_plotinfo["line"]["x"] = xval
corr_plotinfo["line"]["y"] = yval
corr_plotinfo["line"]["line_color"] = 'black'
corr_plotinfo["line"]["line_style"] = '--'
corr_plotinfo["line"]["label"] = r'$\gamma$-function'
corr_axisinfo = {"filename": plotfolder+"prom_corr", "suptitle": suptitle, "ylim": {"log": {"start": 0.001, "end": 3}, "linear": {"start": 0, "end": 1.3}}, "xlim": {"log": {"start": 100, "end": 17000}, "linear": {"start": 100, "end": 17000}}}
plot_scatter(corr_scatterinfo,corr_plotinfo,corr_axisinfo)
plot_histogram(v1_list,100,plotfolder+"hist_peaks")
def plot_scatter(scatterinfo,plotinfo,axisinfo):
fig = plt.figure(figsize=(11.7,8.3))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
fig.suptitle(axisinfo["suptitle"],size=28)
ax = fig.add_subplot(211)
ax.set_xlabel(r'$v_1$',size=28)
ax.set_ylabel(r'$\gamma$',size=28)
for entry in plotinfo:
ax.plot(plotinfo[entry]["x"], plotinfo[entry]["y"], plotinfo[entry]["line_style"], color=plotinfo[entry]["line_color"], lw = 2)
for entry in scatterinfo:
ax.scatter(scatterinfo[entry]["x"], scatterinfo[entry]["y"], scatterinfo[entry]["markersize"], scatterinfo[entry]["color"],scatterinfo[entry]["marker"])
ax.set_ylim(axisinfo["ylim"]["log"]["start"],axisinfo["ylim"]["log"]["end"])
ax.set_xlim(axisinfo["xlim"]["log"]["start"],axisinfo["xlim"]["log"]["end"])
ax.set_yscale('log')
ax.set_xscale('log')
ax1 = fig.add_subplot(212)
ax1.set_xlabel(r'$v_1$',size=28)
ax1.set_ylabel(r'$\gamma$',size=28)
for entry in scatterinfo:
ax1.scatter(scatterinfo[entry]["x"], scatterinfo[entry]["y"], scatterinfo[entry]["markersize"], scatterinfo[entry]["color"],scatterinfo[entry]["marker"], label=scatterinfo[entry]["label"])
for entry in plotinfo:
ax1.plot(plotinfo[entry]["x"], plotinfo[entry]["y"], plotinfo[entry]["line_style"], color=plotinfo[entry]["line_color"], label=plotinfo[entry]["label"], lw = 2)
ax1.yaxis.set_ticks([float(x)/10 for x in range(14)])
ax1.set_ylim(axisinfo["ylim"]["linear"]["start"],axisinfo["ylim"]["linear"]["end"])
ax1.set_xlim(axisinfo["xlim"]["linear"]["start"],axisinfo["xlim"]["linear"]["end"])
plt.xticks(size=22)
plt.yticks(size=22)
ax1.legend(loc=0,ncol=1,scatterpoints=1)
plt.savefig("plots/"+axisinfo["filename"]+".pdf", dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.draw()
# plt.show()
plt.close(fig)
def plot_histogram(data,bins,filename):
fig = plt.figure(figsize=(11.7, 8.3))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
ax = fig.add_subplot(111)
ax.set_title(r'Histogram of the first peaks in page-views',size=28)
ax.set_xlabel(r'Number of page-views at time $t=1$ ($v_1$)',size=28)
ax.set_ylabel(r'Number of articles',size=28)
plt.hist(data,bins=bins)
# plt.draw()
plt.xticks(size=22)
plt.yticks(size=22)
plt.savefig("plots/"+filename+".pdf", dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
# plt.show()
plt.close(fig)
def plot_subplots(subplotinfo,axisinfo,x,y,common_legend=False):
if x == 1 or y == 1:
subplots_singlerow(subplotinfo,axisinfo,x,y,common_legend)
else:
subplots_multirow(subplotinfo,axisinfo,x,y,common_legend)
def subplots_singlerow(subplotinfo,axisinfo,x,y,common_legend):
fig, axarr = plt.subplots(x,y,figsize=(11.7, 8.3))
keys = subplotinfo.keys()
plt.title(axisinfo["title"],size=28)
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
for i in range(max(x,y)):
key = keys[i]
labels = []
lines = []
try:
axarr[i].set_title(axisinfo[key]["title"],size=12)
except KeyError:
pass
try:
axarr[i].set_xlabel(axisinfo[key]["xlabel"],size=12)
except KeyError:
pass
try:
axarr[i].set_ylabel(axisinfo[key]["ylabel"],size=12)
except KeyError:
pass
axarr[i].ticklabel_format(style='sci', axis='y', scilimits=(0,0))
if "scale" in axisinfo and axisinfo["scale"] == "log":
axarr[i].set_yscale('log')
else:
k=0
while k < len(axisinfo[key]["xticks"]):
if axisinfo[key]["ylim"]["start"] < 0:
axarr[i].fill_between(range(24+48*k,48*(k+1)), axisinfo[key]["ylim"]["start"], axisinfo[key]["ylim"]["end"], color='0.75')
else:
axarr[i].fill_between(range(24+48*k,48*(k+1)), 0, axisinfo[key]["ylim"]["end"], color='0.75')
k+=1
try:
line, = axarr[i].plot(subplotinfo[key]["x"], subplotinfo[key]["y"], subplotinfo[key]["line_style"], color=subplotinfo[key]["line_color"], label=subplotinfo[key]["label"], lw = 2)
lines.add(line)
labels.add(subplotinfo[key]["label"].split(',')[0])
except KeyError:
for entry in subplotinfo[key]:
line, = axarr[i].plot(subplotinfo[key][entry]["x"], subplotinfo[key][entry]["y"], subplotinfo[key][entry]["line_style"], color=subplotinfo[key][entry]["line_color"], label=subplotinfo[key][entry]["label"], lw = 2)
lines.append(line)
labels.append(subplotinfo[key][entry]["label"].split(',')[0])
axarr[i].set_xlim(axisinfo[key]["xlim"]["start"],axisinfo[key]["xlim"]["end"])
axarr[i].set_ylim(axisinfo[key]["ylim"]["start"],axisinfo[key]["ylim"]["end"])
axarr[i].set_xticks(xrange(len(axisinfo[key]["xticks"])))
axarr[i].set_xticklabels(axisinfo[key]["xticks"])
if not common_legend:
axarr[i].legend(loc=0, ncol=1,fontsize=12)
if common_legend:
fig.legend(lines,labels,loc='lower center', ncol=len(labels),fontsize=12)
plt.savefig("plots/"+axisinfo["filename"]+".pdf", dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
plt.close(fig)
def subplots_multirow(subplotinfo,axisinfo,x,y,common_legend):
fig, axarr = plt.subplots(x,y,figsize=(11.7, 8.3))
keys = subplotinfo.keys()
plt.title(axisinfo["title"],size=28)
plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
for i in range(x):
for j in range(y):
key = keys[i*x+j]
labels = []
lines = []
try:
axarr[i,j].set_title(axisinfo[key]["title"],size=12)
except KeyError:
pass
try:
axarr[i,j].set_xlabel(axisinfo[key]["xlabel"],size=12)
except KeyError:
pass
try:
axarr[i,j].set_ylabel(axisinfo[key]["ylabel"],size=12)
except KeyError:
pass
axarr[i,j].ticklabel_format(style='sci', axis='y', scilimits=(0,0))
if "scale" in axisinfo and axisinfo["scale"] == "log":
axarr[i,j].set_yscale('log')
else:
try:
k=0
while k < len(axisinfo[key]["xticks"]):
if axisinfo[key]["ylim"]["start"] < 0:
axarr[i,j].fill_between(range(24+48*k,48*(k+1)), axisinfo[key]["ylim"]["start"], axisinfo[key]["ylim"]["end"], color='0.75')
else:
axarr[i,j].fill_between(range(24+48*k,48*(k+1)), 0, axisinfo[key]["ylim"]["end"], color='0.75')
k+=1
except KeyError:
pass
try:
line, = axarr[i,j].plot(subplotinfo[key]["x"], subplotinfo[key]["y"], subplotinfo[key]["line_style"], color=subplotinfo[key]["line_color"], label=subplotinfo[key]["label"], lw = 2)
lines.add(line)
labels.add(subplotinfo[key]["label"].split(',')[0])
except KeyError:
for entry in subplotinfo[key]:
line, = axarr[i,j].plot(subplotinfo[key][entry]["x"], subplotinfo[key][entry]["y"], subplotinfo[key][entry]["line_style"], color=subplotinfo[key][entry]["line_color"], label=subplotinfo[key][entry]["label"], lw = 2)
lines.append(line)
labels.append(subplotinfo[key][entry]["label"].split(',')[0])
axarr[i,j].set_xlim(axisinfo[key]["xlim"]["start"],axisinfo[key]["xlim"]["end"])
axarr[i,j].set_ylim(axisinfo[key]["ylim"]["start"],axisinfo[key]["ylim"]["end"])
axarr[i,j].set_xticks(xrange(len(axisinfo[key]["xticks"])))
axarr[i,j].set_xticklabels(axisinfo[key]["xticks"])
if not common_legend:
axarr[i,j].legend(loc=0, ncol=1,fontsize=12)
if common_legend:
fig.legend(lines,labels,loc='lower center', ncol=len(labels),fontsize=12)
plt.savefig("plots/"+axisinfo["filename"]+".pdf", dpi=600, facecolor='w', edgecolor='w',orientation='landscape', papertype='A4')
plt.close(fig)