# Plot video digg_count cdf
print("[Video digg_count cdf]")
fig, ax = eval.draw_cdf(digg_count, x_label="counts", legend_label='like',
style=styles[0], marker=markers[0])
fig, ax = eval.draw_cdf(comment_count, fig_ax=(fig, ax), x_label="counts", legend_label='comment',
style=styles[1], marker=markers[1])
fig, ax = eval.draw_cdf(share_count, fig_ax=(fig, ax), x_label="counts", legend_label='share',
style=styles[2], marker=markers[2])
fig.savefig('./eps/cdf/video_popularity_cdf' + TYPE)
'''
# Plot video bit_rate pdf
videos = own_videos
bit_rate1 = (videos.bit_rate1/1000).tolist()
bit_rate2 = (videos.bit_rate2.dropna()/1000).tolist()
fig, ax = eval.draw_pdf(bit_rate1, y_label="bit rates (Mbps)",
style=styles[0], legend_label='first bitrate')
fig, ax = eval.draw_pdf(bit_rate2, fig_ax=(fig, ax), y_label="bit rates (Kbps)",
style=styles[1], legend_label='second bitrate')
fig.savefig('./eps/pdf/bit_rate_pdf' + TYPE)
# Plot video bit_rate1 cdf
print("[Video bit_rate cdf]")
fig, ax = eval.draw_cdf(bit_rate1, x_label="bit rates (Mbps)",
style=styles[0], marker=markers[0], legend_label='first bitrate')
fig, ax = eval.draw_cdf(bit_rate2, fig_ax=(fig, ax), x_label="bit rates (Kbps)",
style=styles[1], marker=markers[1], legend_label='second bitrate')
fig.savefig('./eps/cdf/bit_rate_cdf' + TYPE)
own_videos_no_2 = own_videos[own_videos.bit_rate2.isnull()]
#print(own_videos_no_2.describe())
'''
else:
total_num, valid_num, unique_num, gov_num = json.loads(log_file.readline())
print("*User Sample:")
print("Total: %d, Valid: %d, Unique: %d, Government: %d" %
(total_num, valid_num, unique_num, gov_num))
print(user_detail.describe())
# draw
evaluation = Evaluation()
if user_detail_file_name:
# Plot follower count pdf
followers = user_detail[user_detail.follower_count > 0][['follower_count', 'weight']]
followers_gov = user_detail[(user_detail.is_gov_media_vip == 1) & (user_detail.follower_count > 0)][['follower_count', 'weight']]
fig, ax = evaluation.draw_pdf(followers.follower_count, weights=followers.weight,
fit_function='power_law', y_label="p(X)", x_label='# of followers',
style=styles[1], marker=markers[1],legend_label='all', xmin=1)
fig, ax = evaluation.draw_pdf(followers_gov.follower_count, weights=followers_gov.weight,
fit_function='power_law', y_label="p(X)", x_label='# of followers',
style=styles[2], marker=markers[2], legend_label='government', xmin=1,
fig_ax=(fig, ax))
fig.savefig(os.path.join(draw_dir, 'pdf', 'followers_pdf'+TYPE))
# Plot follower count cdf
followers = user_detail[['follower_count', 'weight']]
followers_gov = user_detail[user_detail.is_gov_media_vip == 1][['follower_count', 'weight']]
fig, ax = evaluation.draw_cdf(followers.follower_count, weights=followers.weight,
y_label="CDF", x_label='# of followers', y_scale='linear',
style=styles[1], marker=markers[1], legend_label='all')
fig, ax = evaluation.draw_cdf(followers_gov.follower_count, weights=followers_gov.weight,
