def plot(self, path, data, colors, legendNames, xLabels):
fig, ax = plotHelper.createPlot()
grapher = StackedBarGrapher()
grapher.stackedBarPlot(ax,
data,
colors,
xLabels,
ylabel="latency [ms]",
gap=0.4,
yTicks=5)
handles = map(
lambda
(color, label): matplotlib.patches.Patch(color=color, label=label),
zip(colors, legendNames))
ax.yaxis.grid(True)
ax.legend(handles=handles,
frameon=1,
bbox_to_anchor=(0., 1., 1., 0),
ncol=2,
borderaxespad=0)
fig.patch.set_visible(True)
plotHelper.savePlot(ax, fig, path, self.title, "legend title")
def plot2d(self, path, data):
fig, ax = plotHelper.createPlot()
ax.set_ylabel(self.yAxisText)
ax.set_xlabel(self.xAxisText)
x = [val[0] for val in data]
y = [val[1] for val in data]
plt.scatter(x, y)
plotHelper.savePlot(ax, fig, path, self.title)
def plot(self,
path,
data,
label,
centerOn=None,
comparision=False,
captions=None,
nonNumeric=False):
fig, ax = plotHelper.createPlot()
ax.set_title(self.title)
if nonNumeric:
cmap = ListedColormap(
sns.cubehelix_palette(start=2.8, rot=.1, light=0.9,
n_colors=3))
else:
cmap = "viridis"
if comparision:
sns.heatmap(data,
ax=ax,
annot=True,
fmt=".1f",
cmap=cmap,
center=centerOn,
vmin=0,
vmax=2,
cbar=not nonNumeric)
else:
if captions is not None:
sns.heatmap(data,
ax=ax,
annot=captions,
fmt="",
cmap=cmap,
center=centerOn,
cbar=not nonNumeric)
else:
sns.heatmap(data,
ax=ax,
annot=True,
fmt=".1f",
cmap=cmap,
center=centerOn,
cbar=not nonNumeric)
if not nonNumeric:
cbar = ax.collections[0].colorbar
cbar.set_label(label)
ax.invert_yaxis()
plotHelper.savePlot(ax, fig, path, self.title)
def plot(self, path, data, xName, yName, hueName):
fig, ax = plotHelper.createPlot()
ax.set_ylabel(self.yAxisText)
ax.set_xlabel(self.xAxisText)
colors = sns.color_palette("Set3", 20)
toRemove = colors[1]
colors = filter(lambda x: x != toRemove, colors)
sns.barplot(xName,
yName,
hueName,
data,
ax=ax,
ci=None,
palette=colors)
plotHelper.savePlot(ax, fig, path, self.title, hueName)
def plot(self, path, data, xName=None, yName=None, hue=None, log=False):
fig, ax = plotHelper.createPlot()
ax.set_ylabel(self.yAxisText)
if log:
ax.set_yscale("log")
#huePalette = sns.color_palette("viridis", desat=.5)
colors = sns.color_palette("Set3", 20)
toRemove = colors[1]
colors = filter(lambda x: x != toRemove, colors)
sns.boxplot(ax=ax,x=xName, y=yName, data=data, showfliers=False,linewidth=0.7, hue=hue, palette=colors)#palette="binary" if hue is None else huePalette)
ax.set_xlabel(self.xAxisText)
if hue is None:
for box in ax.artists:
box.set_facecolor("white")
plotHelper.savePlot(ax, fig, path, self.title, hue, sortLegend=False, log=log)
def plot(self, path, data):
#data = [(x,y),..]
fig, ax = plt.subplots()
ax.set_title(self.title)
ax.set_ylabel(self.yAxisText)
ax.set_xlabel(self.xAxisText)
xValues = [x[0] for x in data]
yValues = [x[1] for x in data]
ax.plot(xValues, yValues, "-o")
plt.legend()
plt.minorticks_on()
ax.xaxis.set_major_formatter(ScalarFormatter())
ax.yaxis.set_major_formatter(ScalarFormatter())
plt.grid(True, which='major', linestyle='--', color='gray')
plt.grid(True, which='minor', linestyle='--', color='lightgray')
ax.set_axisbelow(True)
plotHelper.savePlot(path, self.title, fig)
def plot(self,
path,
dataArray,
legendTitle,
xLables=None,
xLog=False,
yLim=None):
#print xLables
#print "!!!!!"
fig, ax = plotHelper.createPlot()
ax.set_ylabel(self.yAxisText)
ax.set_xlabel(self.xAxisText)
if xLog:
ax.set_xscale('log')
filledMarkers = list(Line2D.filled_markers)
xValues = []
xValueSet = set()
colors = sns.color_palette("Set3", 20)
toRemove = colors[1]
colors = filter(lambda x: x != toRemove, colors)
for i, el in enumerate(dataArray):
label = el[0]
data = el[1]
xValues = [x[0] for x in data]
xValueSet |= set(xValues)
yValues = [x[1] for x in data]
ax.plot(xValues,
yValues,
marker=filledMarkers[i],
label=label,
color=colors[i])
if xLables is not None:
plt.xticks(sorted(list(xValueSet)), xLables)
if yLim is not None:
#lim = ax.get_ylim()
#ax.set_ylim([lim[0] * yLim[0], lim[1] * yLim[1]])
ax.set_ylim(yLim)
plotHelper.savePlot(ax, fig, path, self.title, legendTitle)
def plot(self, path, data, figSize=(40, 10)):
#data: [(name, val), (name, val)]
fig, ax = plt.subplots(figsize=figSize)
ax.set_title(self.title)
ax.set_ylabel(self.yAxisText)
ax.set_xlabel(self.xAxisText)
N = len(data)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
labels = [x[0] for x in data]
yVal = [x[1] for x in data]
yError = [x[2] if len(x) > 2 else 0 for x in data]
newWidth = (width + 0.1)
xPos = ind * newWidth
labelPos = xPos
ax.bar(xPos, yVal, width, yerr=yError)
ax.set_xticks(labelPos)
ax.set_xticklabels(
labels,
rotation=20,
ha="right",
)
#ax.xaxis.set_major_formatter(ScalarFormatter())
plt.minorticks_on()
ax.yaxis.set_major_formatter(ScalarFormatter())
plt.grid(True, which='major', linestyle='--', color='gray')
plt.grid(True, which='minor', linestyle='--', color='lightgray')
ax.set_axisbelow(True)
plt.tight_layout()
plotHelper.savePlot(path, self.fileName, fig)