def datasci():
cong_dict = [houseDictPerYear(y) for y in range(1990, 2018)]
sen_dict = [senateDictPerYear(y) for y in range(1990, 2018)]
house = Table().with_columns(
"Year", np.arange(1990, 2018), "House Bi-Partisan",
np.array([(x['100'] + x['95']) * 100 / x['total'] for x in cong_dict]),
"House Non Partisan",
np.array([x['nonpart'] * 100 / x['total'] for x in cong_dict]),
"House Collaborative",
np.array([x['together'] * 100 / x['total'] for x in cong_dict]))
senate = Table().with_columns(
"Year", np.arange(1990, 2018), "Senate Bi-Partisan",
np.array([(x['100'] + x['95']) * 100 / x['total'] for x in sen_dict]),
"Senate Non Partisan",
np.array([x['nonpart'] * 100 / x['total'] for x in sen_dict]),
"Senate Collaborative",
np.array([x['together'] * 100 / x['total'] for x in sen_dict]))
total = senate.join("Year", house)
#print(total)
#total.scatter("Year")
plt.axis([1989, 2020, 0, 100])
plt.plot(total.column("Year"),
total.column("House Bi-Partisan"),
'k',
c='g',
label="House Bi-Partisan")
plt.plot(total.column("Year"),
total.column("Senate Bi-Partisan"),
'k',
c='y',
label="Senate Bi-Partisan")
# plt.plot(total.column("Year"), total.column("House Non Partisan"), '*', c='g', label="House Non Partisan")
# plt.plot(total.column("Year"), total.column("Senate Non Partisan"), '*', c='y', label="Senate Non Partisan")
# plt.plot(total.column("Year"), total.column("House Collaborative"), '.', c='g', label="House Collaboration")
# plt.plot(total.column("Year"), total.column("Senate Collaborative"), '.', c='y', label="Senate Collaboration")
drawParties(plt, "both")
#plt.legend(bbox_to_anchor=(0.5, -0.15))
plt.legend(loc=4)
plt.ylabel("Percentage of Total Votes")
plt.xlabel("Years (1990-2017)")
plt.savefig("data.png", dpi=400)
plt.show()
def join(self, *args, **kwargs):
return self._fix_(Table.join(self, *args, **kwargs))
