I am trying to change the axis labels on my plots in Chaco. I have generated with some code similar to the following:
thisplot=Plot(alldata)
thisplot.plot("xdata","ydata",value_scale="log",index_scale="log")
I would like to use the _nice_sci() formatting for the labels from the BasicFormatter class as the range is quite large (on the loglog plot) but can't work out the syntax.
Does anyone have any tips for implementing this?
Related
I am trying to plot 2D bars in a Plotly 3D figure. I understand that Plotly's 3D figures do not yet support bar charts out of the box, but I have come across some examples from other people on the Plotly forums which have shown how this might be achieved.
Please see the post Adding a shape to a 3D plot. This is close to what I am trying to achieve, but I am not trying to plot a histogram.
It appears plotting traces as a mesh3d, adding in the missing points and triangulating is the way to go for Plotly's 3D chart, according to other examples I have seen. Below is an example of what I am looking for that I created using Matplotlib.
As you can see, x axis is the date, y axis is the trace name and z axis is the value. I would like to see if I can achieve something similar using Plotly's 3D charts, which are so much better of course because of the client side interactivity.
Is there a working example for what I'm trying to achieve? I am simply looking to plot simple (date, value) per trace as 2D bars in the 3D figure.
There isn't any current way to have a bar chart in 3D with Plotly (at least that I am aware of).
Documentation: Plotly Python Open Source Graphing Library 3D Charts
As shown in the documentation, there aren’t any options for a bar chart. There are, however, alternatives like a bubble chart.
I'm new to plotly/plotly express and i'm having a really hard time finding any working example other than the documentation examples for the library (which are really basic and standard).
I have, let's say a scatter plot, in plotly express:
fig = px.scatter(any_random_data)
And i want to add to that plot an image in a fixed (x,y) position, but i don't know (and can't find!) if there is any kind of method for that.
I've seen there is an add_trace() method to add traces to the plot (i guess), is there any similar function for adding images? (Like add_image() or something)
ax4.plot_date(x=days, y=MACD_14_21,fmt="r-",label='MACD_14_21')
I am trying to print label using label="xxx", while plotting the data, but I don't see any label printed.
Do I need to use different syntax?
These labels are for legend only. Add plt.legend() to Your code to show it. If You want to add labels on the x-axis You can do it with plt.xlabel(['label1','label2']).
Edit:
Unhappily adding labels on plotted lines, is much more complex, and I would recommend You to stick to the legend, because there is no automatic way of doing that. However if You really need to achieve that, it's explained here: Print string over plotted line (mimic contour plot labels)
For simple cases You can also use annotations.
I am trying to configure my Bokeh plots in Python such that they look a bit nicer. For example, is there a way to fix the maximum zoom out? Such that Bokeh cannot zoom out more than what is specified by the x-axis? E.g. look at bokeh example, and especially "Datetime axes". I would like to fix the axis size so that you cannot zoom out more than the initial x axis is wide.
Another question; is there a way to fill an area under a curve in a specified color? Like in the figure USDSEK. I can provide code, but I don't think it's necessary for the problem at hand.
UPDATED for 2019:
Bokeh now supports "directed areas" (which can also be stacked) see e.g.
https://docs.bokeh.org/en/latest/docs/gallery/stacked_area.html
I need to return both a histogram and a scatterplot in one function using matplotlib, but when I try to create the histogram after creating the scatterplot, it appears that the scatterplot gets overridden. Just wondering if anyone has any advice on this issue? Is there a way to return two plots at once if they share an x-axis?
For instance, there is paragraph included in this link http://matplotlib.org/users/pyplot_tutorial.html about how to have 2 subplots. But I'm not sure how to do that with plt.hist() and plt.plot().
Since the histogram fills the bars it is probably better to do it first then the scatter plot.