#for (columnName, columnData) in c.keywords.iteritems():
# for keyword in columnData.values:
# if not isinstance(keyword, str):
# break
# data = a.average_percentage_of_papers_all_conferences_per_year_per_word(keyword)
# v.visualize_average_percentage_of_papers_all_conferences_per_year_per_word(keyword, data)
# Generate Streamgraphs for all filenames
#for filename in filenames:
for category in c.keywords.columns:
df = pd.DataFrame()
array = []
for keyword in c.keywords[category]:
if not isinstance(keyword, str):
break
s = a.average_percentage_of_papers_all_conferences_per_year_per_word(keyword)
s.name = keyword
print(s)
array.append(s)
print(df)
df = pd.concat(array, axis=1)
df.plot()
plt.xlabel('Year')
plt.ylabel('% of papers')
plt.title("Grouped_Dataset" + "_" + category)
plt.legend(c.keywords[category])
plt.savefig("streamgraphs\\all\\streamgraph_" + "combined_dataset" + "_" + category + ".png", bbox_inches='tight')
plt.clf()
