Hi to all,
is there a possiblity to costumize the color within an area figure?
Given the following code
def drawColorFig():
output_file("area.html") #Safe file
start = dt.datetime(year=2017, month=1, day = 1)#Start date
dates = pd.date_range(sz.startDate, periods = 120, freq = 'M')#Periods on the x-axis
#Data for y-axis
newDicht = dict()
newDicht["Starter"] = range(1,120)
newDicht["Observer"] = range(3,123)
data1 = newDicht["Starter"]
data2 = newDicht["Observer"]
dataset1 = pd.Series(data1, index = dates)
dataset2 = pd.Series(data2, index = dates)
data = dict(data1=dataset1, data2=dataset2, data3 = dataset3, data4 = dataset4)
tool = 'hover, save, wheel_zoom, reset, box_zoom, pan'
x = Area(data=data, stack=True, tools = tool)
show(x)
``
I want to have dataset1 for example in yellow color and dataset 2 in blue color?
Cheers
Markus
Bryan
2
Hi,
Yes, Area accepts a palette keyword argument that can be used to provide a list of colors:
area2 = Area(data, title="Stacked Area Chart", legend="top_left",
stack=True, xlabel='time', ylabel='memory',
palette=['orange', 'grey', 'blue'])
Thanks,
Bryan
ยทยทยท
On Mar 7, 2017, at 06:51, 'Mar kus' via Bokeh Discussion - Public <[email protected]> wrote:
Hi to all,
is there a possiblity to costumize the color within an area figure?
Given the following code
def drawColorFig():
output_file("area.html") #Safe file
start = dt.datetime(year=2017, month=1, day = 1)#Start date
dates = pd.date_range(sz.startDate, periods = 120, freq = 'M')#Periods on the x-axis
#Data for y-axis
newDicht = dict()
newDicht["Starter"] = range(1,120)
newDicht["Observer"] = range(3,123)
data1 = newDicht["Starter"]
data2 = newDicht["Observer"]
dataset1 = pd.Series(data1, index = dates)
dataset2 = pd.Series(data2, index = dates)
data = dict(data1=dataset1, data2=dataset2, data3 = dataset3, data4 = dataset4)
tool = 'hover, save, wheel_zoom, reset, box_zoom, pan'
x = Area(data=data, stack=True, tools = tool)
show(x)
I want to have dataset1 for example in yellow color and dataset 2 in blue color?
Cheers
Markus
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