def graph_authors(ratings, no_subplot, d3_plot, to_file, no_date=True):
"""
This function prints graphs with library matplotlib and mpld3.
Take arguments:
ratings = nested dictionary which contains like key author, like data
other metrics like pylint output, radon output, algorithms
from QMetric and another for graphs
no_subplot = if enable will be plots every curves in one graph else
plots every statistic to diffrent graph
d3_plot = if enable is used for plotting library matplotlib + mpld3
else there will be graphs only in matplotlib
no_dates = if enable which is in default, the x axis will have only
index of commit
"""
for author in ratings:
geted = get_lists_for_graphs(ratings, author)
list_comm = geted[0]
list_pylint = geted[1]
list_metrics = geted[2]
list_rating_two = geted[3]
list_dates = geted[4]
if len(list_pylint) < 2:
continue
fig, ax = plt.subplots()
authorl = author.replace(" ", "_")
authorl = authorl.replace(".", "")
plt.title("Author: {0}".format(authorl))
ax.bar(range(4), [ratings[author]["hyphotetical_rating_one"],
ratings[author]["hyphotetical_rating_two"],
ratings[author]["pylint_rating"],
ratings[author]["radon_rating"]], align="center")
plt.xticks(range(4), ["First algorithm", "Second algorithm",
"Average pylint", "Average Radon"], size="small")
plt.savefig(r"final_results_{0}".format(authorl))
fig, ax = plt.subplots()
if no_date:
list_dates = [num for num in xrange(len(list_comm))]
plt.ylabel("Ratings %")
plt.xlabel("Number of commits")
if no_subplot:
plt.ylim([-1, 101])
plt.plot(list_dates, list_comm, color="red")
plt.plot(list_dates, list_rating_two, color="black")
plt.plot(list_dates, list_pylint, color="blue")
plt.plot(list_dates, list_metrics, color="green")
else:
plt.ylim([0, 101])
plt.subplot(411)
plt.ylabel("Ratings %")
plt.xlabel("Number of commits")
plt.plot(list_dates, list_comm, color="red")
plt.title("Author: {0}".format(authorl))
plt.subplot(412)
plt.ylabel("Ratings %")
plt.xlabel("Number of commits")
plt.plot(list_dates, list_rating_two, color="black")
plt.subplot(413)
plt.ylabel("Ratings %")
plt.xlabel("Number of commits")
plt.plot(list_dates, list_pylint, color="blue")
plt.subplot(414)
plt.ylabel("Ratings %")
plt.xlabel("Number of commits")
plt.plot(list_dates, list_metrics, color="green")
fig.autofmt_xdate()
if to_file:
plt.savefig(r"graph_rep_{0}".format(authorl))
else:
plt.show()
if d3_plot and to_file:
get_d3()
plugins.connect(fig, plugins.Reset(), plugins.Zoom())
show_d3()
"""
Scatter Plot With Tooltips
==========================
A scatter-plot with tooltip labels on hover
"""
import matplotlib.pyplot as plt
import numpy as np
from mpld3 import plugins, show_d3
fig, ax = plt.subplots(subplot_kw=dict(axisbg='#EEEEEE'))
N = 100
scatter = ax.scatter(np.random.normal(size=N),
np.random.normal(size=N),
c=np.random.random(size=N),
s = 1000 * np.random.random(size=N),
alpha=0.3,
cmap=plt.cm.jet)
ax.grid(color='white', linestyle='solid')
ax.set_title("Scatter Plot (with tooltips!)", size=20)
labels = ['point {0}'.format(i + 1) for i in range(N)]
tooltip = plugins.PointLabelTooltip(scatter, labels=labels)
plugins.connect(fig, tooltip)
show_d3()
s = 100 + 500 * np.random.random(100)
ax[0, 1].scatter(x, y, c=c, s=s, alpha=0.3)
ax[0, 1].set_title('A Scatter Plot')
#----------------------------------------------------------------------
# third plot: some random lines
x = np.linspace(0, 10, 100)
y = np.sin(x)
dy = 0.4
ax[1, 0].plot(x, y, '--k', lw=2)
for i in range(20):
y_plot = np.convolve(np.ones(5) / 5., np.random.normal(y, dy), mode='same')
ax[1, 0].plot(x, y_plot, '-b', lw=2, alpha=0.1)
ax[1, 0].set_title('Transparent Lines')
#----------------------------------------------------------------------
# fourth plot: filled regions
x = np.linspace(0, 4 * np.pi, 100)
y1 = np.sin(x / 2)
y2 = np.sin(x)
ax[1, 1].fill_between(x, y1, y2, where=y1 > y2, color='blue', alpha=0.3)
ax[1, 1].fill_between(x, y1, y2, where=y1 <= y2, color='red', alpha=0.3)
ax[1, 1].set_title('fill_between()')
show_d3()
