python - Matplotlib bar chart customisation for multiple values -
i have list of tuples countries , number of times occur. have 175 countries long names.
when chart them, get:
as can see, bunched up, there no space, can barely read anything.
code use (the original data file huge, contains matplotlib specific code):
def tuplecounts2percents(inputlist): total = sum(x[1] x in inputlist)*1.0 return [(x[0], 1.*x[1]/total) x in inputlist] def autolabel(rects,labels): # attach text labels i,(rect,label) in enumerate(zip(rects,labels)): height = rect.get_height() plt.text(rect.get_x() + rect.get_width()/2., 1.05*height, label, ha='center', va='bottom',fontsize=6,style='italic') def countrychartlist(inputlist,path): seen_countries = counter() dict in inputlist: seen_countries += counter(dict['location-value-pair'].keys()) seen_countries = seen_countries.most_common() seen_countries_percentage = map(itemgetter(1), tuplecounts2percents(seen_countries)) seen_countries_percentage = ['{:.2%}'.format(item)for item in seen_countries_percentage] yvals = map(itemgetter(1), seen_countries) xvals = map(itemgetter(0), seen_countries) plt.figure() countrychart = plt.bar(range(len(seen_countries)), yvals, width=0.9) plt.xticks(range(len(seen_countries)), xvals,rotation=90) plot_margin = 0.25 x0, x1, y0, y1 = plt.axis() plt.axis((x0, x1, y0, y1+plot_margin)) plt.title('countries in dataset') plt.xlabel('countries in data') plt.ylabel('occurrences') plt.tick_params(axis='both', which='major', labelsize=6) plt.tick_params(axis='both', which='minor', labelsize=6) plt.tight_layout() autolabel(countrychart,seen_countries_percentage) plt.savefig(path) plt.clf() an idea of dict feed in looks is:
list = [ { "location-value-pair": { "austria": 234 } }, { "location-value-pair": { "azerbaijan": 20006.0 } }, { "location-value-pair": { "germany": 4231 } }, { "location-value-pair": { "united states": 12121 } }, { "location-value-pair": { "germany": 65445 } }, { "location-value-pair": { "uk": 846744 } } } ] how i:
- make things 1 can read them - answer histogram bins instead of bar plot? maybe stepping every 10%?
- how make tick labels , labels above bars (the percentages) don't overlap?
- any other insight welcome (e.g. bars gradient colours, red yellow)?
edit
i reduced number of countries top 50, made bars more transparent, , changed ticks rotate 45 degrees. still find first bar has tick crosses y axis unreadable. how can change this?
changed countrychart = plt.bar(range(len(seen_countries)), yvals, width=0.9,alpha=0.6) , rotation=45 .text() argument in autolabel function.
the problem in alignment of autolabels:
def autolabel(rects,labels): # attach text labels i,(rect,label) in enumerate(zip(rects,labels)): height = rect.get_height() plt.text(rect.get_x() + rect.get_width()/2., 1.05*height, label, ha='center', va='bottom',fontsize=6,style='italic') was changed to:
def autolabel(rects,labels): # attach text labels i,(rect,label) in enumerate(zip(rects,labels)): height = rect.get_height() plt.text(rect.get_x() + rect.get_width()/2., 1.05*height, label, ha='left', va='bottom',fontsize=6,style='italic', rotation=45) to get:
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