Skip to content
This repository was archived by the owner on Feb 2, 2024. It is now read-only.

Load final version of SDC demo #315

Merged
shssf merged 1 commit into from
Nov 21, 2019
Merged

Load final version of SDC demo #315

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
106 changes: 55 additions & 51 deletions docs/demos/plotting.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,72 +2,76 @@
import matplotlib.pyplot as plt

data_performance = {
'read_parquet': ((0.804, 2.939, 6.235, 20.91),
(0.51, 1.662, 3.151, 8.555)),
'read_csv': ((19.732, 10.466, 6.277, 6.947)),
'describe': ((0.823, 1.713, 3.324, 7.103),
(0.704, 1.396, 2.89, 6.485)),
'read_csv': ((10.324, 20.793, 41.413, 84.63),
(0.914, 1.925, 3.988, 8.149)),
'describe': ((0.374, 0.681, 1.426, 2.875),
(0.235, 0.597, 1.192, 2.264)),
'v_counts': ((0.867, 1.777, 3.447, 6.799),
(0.699, 1.401, 2.914, 6.276)),
(0.699, 1.401, 2.914, 6.276)),
'statistics': ((2.1, 4.6, 8.3, 20.2),
(0.3, 0.7, 1.6, 3.2)),
'sum': ((0.9, 1.2, 2.7, 5.9),
(0.1, 0.4, 0.8, 1.9)),
}

plot_params = {
'read_parquet':(('1m', '2m', '4m', '8m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'read_csv':(('1 node', '2 nodes', '4 nodes', '8 nodes'), 'Number of processes', 'SDC Scalability', False, 'upper right'),
'describe':(('1m', '2m', '4m', '8m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'v_counts':(('1m', '2m', '4m', '8m'), 'Data size', 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'read_csv':(('1m', '2m', '4m', '8m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'describe':(('1m', '2m', '4m', '8m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'v_counts':(('1m', '2m', '4m', '8m'), 'Data size', 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'statistics':(('10m', '20m', '40m', '80m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
'sum':(('10m', '20m', '40m', '80m'), 'Data size', 'Performance: Pandas vs SDC', True, 'upper left'),
}


class Plotter:
def __init__(self, func_id='read_parquet'):
self.func_id = func_id
self.x_labels, self.x_title, self.title, self.is_compared, self.label_position = plot_params[self.func_id]
self.ngroups = len(self.x_labels)
def __init__(self, func_id='read_parquet'):
self.func_id = func_id
self.x_labels, self.x_title, self.title, self.is_compared, self.label_position = plot_params[self.func_id]
self.ngroups = len(self.x_labels)

def autolabel(self, rects, ax):
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3), # 3 points vertical offset
textcoords="offset points",
ha='center', va='bottom', fontsize=12)
def autolabel(self, rects, ax):
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3), # 3 points vertical offset
textcoords="offset points",
ha='center', va='bottom', fontsize=12)

def plot_performance(self):
def plot_performance(self):

plt.figure(figsize = (16, 8))
# create plot
index = np.arange(self.ngroups)
bar_width = 0.35
opacity = 0.8
plt.figure(figsize = (16, 8))
# create plot
index = np.arange(self.ngroups)
bar_width = 0.35
opacity = 0.8

plt.xlabel(self.x_title, fontsize=16)
plt.ylabel('Time, s', fontsize=16)
plt.title(self.title, fontsize=18)
plt.tick_params(labelsize=12)
plt.xlabel(self.x_title, fontsize=16)
plt.ylabel('Time, s', fontsize=16)
plt.title(self.title, fontsize=18)
plt.tick_params(labelsize=12)

if self.is_compared:
data_pandas, data_sdc = data_performance[self.func_id]
rects_pandas = plt.bar(index + bar_width, data_pandas, bar_width,
alpha=opacity,
label='Pandas')
if self.is_compared:
data_pandas, data_sdc = data_performance[self.func_id]
rects_pandas = plt.bar(index + bar_width, data_pandas, bar_width,
alpha=opacity,
label='Pandas')

plt.xticks(index + bar_width, self.x_labels)
else:
data_sdc = data_performance[self.func_id]
plt.xticks(index, self.x_labels)
plt.xticks(index + bar_width, self.x_labels)
else:
data_sdc = data_performance[self.func_id]
plt.xticks(index, self.x_labels)

rects_sdc = plt.bar(index, data_sdc, bar_width,
alpha=opacity,
label='SDC')
rects_sdc = plt.bar(index, data_sdc, bar_width,
alpha=opacity,
label='SDC')

if self.is_compared:
self.autolabel(rects_pandas, plt)
if self.is_compared:
self.autolabel(rects_pandas, plt)

plt.legend(fontsize=16, loc=self.label_position)
self.autolabel(rects_sdc, plt)
plt.legend(fontsize=16, loc=self.label_position)
self.autolabel(rects_sdc, plt)

plt.tight_layout()
plt.show()
plt.tight_layout()
plt.show()
Loading