def myCorrelationPlot(df, pw=300, ph=300, tt="correlations"):
colNames = df.columns.tolist()
rownames = df.index.tolist()
x = [c for r in rownames for c in colNames]
y = [r for r in rownames for c in colNames]
corarr = [df[c][r] for r in rownames for c in colNames]
colors = [
RGB(255 * (1 - x) / 2, 255 * (1 + x) / 2, 0, 0.7) for x in corarr
]
p = figure(title=tt,
x_range=colNames,
y_range=rownames,
plot_width=pw,
plot_height=ph,
toolbar_location="right")
p.rect(x, y, color=colors, width=1, height=1)
p.xaxis.major_label_orientation = 3.14159 / 2
c = myColorBar(75, ph)
output_file("correlation.html")
show((row(p, c)))
out.reset_output()
def test_reset_output(mock_reset):
# might create a new one, which also calls reset
original_call_count = curstate().reset.call_count
bio.reset_output()
assert curstate().reset.call_count == original_call_count + 1
def clean_show(item):
reset_output()
show(item)
def test_reset_output(mock_reset):
# might create a new one, which also calls reset
original_call_count = curstate().reset.call_count
bio.reset_output()
assert curstate().reset.call_count == original_call_count+1
# Scatter Plot
scatterList = []
tools = "pan,box_zoom,reset,save"
for i in df.columns:
for j in df.columns:
p = figure(title="SactterPlot : " + i + " Vs " + j, tools=tools)
p.grid.grid_line_color = None
p.background_fill_color = "#eeeeee"
mscatter(p, df[i], df[j], "asterisk")
p.xaxis.axis_label = i
p.yaxis.axis_label = j
scatterList.append(p)
output_file("scatterPlot.html")
show(gridplot(scatterList, ncols=9, plot_width=250, plot_height=250))
out.reset_output()
# Histogram Function
def histPlot(data, edge, title, tools, xlab, ylab):
p = figure(title=title, tools=tools)
p.quad(top=his, bottom=0, left=edge[:-1], right=edge[1:])
p.xaxis.axis_label = xlab
p.yaxis.axis_label = ylab
return p
# Histogram Plot
histList = []
for i in df.columns:
his, edg = np.histogram(df[i], density=True, bins=50)