I have a barplot using the bokeh library, and I would like to show only the first 5 barplot and then if I want to see the rest of the bars I have to move the x axis to the right or left. I am struggling in find the information that would allow me to do so.
An example would be this:
from bokeh.plotting import figure
from bokeh.io import output_file, show
import calendar
values = [2,3,4,5,6,7,8]
days = [calendar.day_name[i-1] for i in range(1,8)]
p = figure(x_range=days,plot_height=500)
p.vbar(x=days, width=0.5, top=values, color = "#ff1200")
output_file('foo.html')
show(p)
and what I would like it would be something like this:
and then if I want to see the resting of the days I have to click on the figure and move the mouse.
Any idea?
I wasn't able to find a solution for limiting the x axis while using categorical data. Instead I made a workaround where the x axis labels are overridden by days of the week. This makes it possible to use x_range to limit the x axis.
#!/usr/bin/python3
from bokeh.plotting import figure
from bokeh.io import output_file, show
values = [2,3,4,5,6,7,8]
days = [0,1,2,3,4,5,6]
p = figure(x_range=(-0.3,4.3),plot_height=500)
p.xaxis.major_label_overrides = {0:'Monday', 1:'Tuesday', 2:'Wednesday', 3:'Thursday', 4:'Friday', 5:'Saturday', 6:'Sunday'}
p.vbar(x=days, width=0.5, top=values, color = "#ff1200")
output_file('foo.html')
show(p)
Related
Hi I am new to use obspy.
I want to plot two streams to one plot.
I made code as below.
st1=read('/path/1.SAC')
st1+=read('/path/2.SAC')
st1.plot()
I succeed to plot two plots but what I want to do is plotting them as two colors.
When I put the option of 'color', then both colors are changed.
How can I set colors seperately?
Currently it is not possible to change the color of individual waveforms, and changing color will change all waveforms as you mentioned. I suggest you make your own graph from the ObsPy Stream using Matplotlib:
from obspy import read
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
st1=read('/path/1.SAC')
st1+=read('/path/2.SAC')
# Start figure
fig, ax = plt.subplots(nrows=2, sharex='col')
ax[0].plot(st1[0].times("matplotlib"), st1[0].data, color='red')
ax[1].plot(st1[1].times("matplotlib"), st1[1].data, color='blue')
# Format xaxis
xfmt_day = mdates.DateFormatter('%H:%M')
ax[0].xaxis.set_major_formatter(xfmt_day)
ax[0].xaxis.set_major_locator(mdates.MinuteLocator(interval=1))
plt.show()
In the following, the hover simply shows the x and y values for each individual plot. How would I additionally show country in each plot?
from bokeh.sampledata.autompg import autompg
autompg_ds = hv.Dataset(autompg)
hv.operation.gridmatrix(autompg_ds, chart_type=hv.Points).opts(hv.opts.Points(size=2, tools=['hover']))
How do I specify the columns that should appear in a hover in a holoviews.operation.gridmatrix?
My code is below. How can I get a log scale for a bokeh hbar plot? Tried x_axis_type="log", but that returned an empty plot.
Edit: I was advised that I must set left to a low but non-zero value in order for it to work, but the new addition left = 0.001 in the code below seem to offset the zero point of the bars on the left, but does not appear as a desired log-scale where the difference between the extreme value in x is visualised as less visually extreme.
Edit (solved): My error in the edit above was that I had not explicitly set the range of the bars. I added x_range=[0.001,1000000] to the code below, and now I get the desired result. See image.
from bokeh.plotting import figure
from bokeh.io import show, output_notebook
output_notebook()
x = [1,5,9,256000]
y = ["a","b","c","d"]
p = figure(y_range=y,x_axis_type = "log",x_range=[0.001,1000000])
p.hbar(y = y, right = x, left = 0.001, height = 0.1)
show(p)
Zero is not a permissible value on a log scale, and as of version 2.3.1 Bokeh does not have anything like Matplotlib's symlog scale that linearizes around the origin. The best you will be able to to is to set left equal to some very small value (but non-zero).
I am trying to plot simple histogram in R. I have an integer vector and I want to draw a histogram with one column per each value.
test_data = c(1,1,1,2,2,3,3,4)
hist(test_data)
But I get this
Please tell me whether it is possible to get the same result as I have in Python?
import matplotlib.pyplot as plt
test_data = [1,1,1,2,2,3,3,4]
plt.hist(test_data)
plt.show()
You could us the barplot and table functions
barplot(table(test_data))
You can use the nclass or breaks argument to adjust the number of bins.
test_data = c(1,1,1,2,2,3,3,4)
hist(test_data,breaks=5)
hist(test_data,nclass=5)
In fact it is the same thing for python. The argument is bins. The default value is 10 (according to this page)
So if you modify it, we will get a different plot
import matplotlib.pyplot as plt
test_data = [1,1,1,2,2,3,3,4]
plt.hist(test_data,bins=4)
plt.show()
you get
Simple question - in bokeh you can plot circles with a radius rather than a size,such that the circles adjust when zooming in or out. Is it possible to do this with a holoviews based scatter - it doesn't have an option currently that I can see for setting the radius and I couldn't work out how to provide it in another manner (eg renders). Likely user error so apologies in advance, many thanks.
import holoviews as hv
hv.extension('bokeh')
from bokeh.plotting import figure, show
x=(1,2,3)
y=(1,2,3)
p=figure()
p.scatter(x, y, radius=0.2)
show(p) # bokeh plot working as expected
scatter=hv.Scatter((x,y)).opts(marker="circle", size=20)
scatter # holoviews plot, cannot code "radius" for code above - causes error.
All hv.Scatter plots are based around Bokeh's Scatter marker which has this section in its docstring:
Note that circles drawn with `Scatter` conform to the standard Marker
interface, and can only vary by size (in screen units) and *not* by radius
(in data units). If you need to control circles by radius in data units,
you should use the Circle glyph directly.
This means that you cannot use hv.Scatter, you have to use something else:
import holoviews as hv
import param
from holoviews.element.chart import Chart
from holoviews.plotting.bokeh import PointPlot
hv.extension('bokeh')
x = (1, 2, 3)
y = (1, 2, 3)
class Circle(Chart):
group = param.String(default='Circle', constant=True)
size = param.Integer()
class CirclePlot(PointPlot):
_plot_methods = dict(single='circle', batched='circle')
style_opts = ['radius' if so == 'size' else so for so in PointPlot.style_opts if so != 'marker']
hv.Store.register({Circle: CirclePlot}, 'bokeh')
scatter = Circle((x, y)).opts(radius=0.5)