How to show all date scales?

[Tombon-Jedi]

in matplotlib,i can do like this:
ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(1))

[DanielGoldfarb]

There is no direct support for that inside mpfinance, but you can get access to the Figure and Axes, which will then allow you to directly use matplotlib methods ( such as ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(1)) ).

There are two ways to get access to the Figure and Axes as described here.

Once you have access to the Axes, it may, or may not, be as simple as calling ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(1)), I don't know, you will have to experiment and see. But I can tell you what the issue is that you may encounter and have to deal with:

If show_nontrading=False, which is the default show_nontrading value if not specified, then the actual x-axis values are not dates, but are integer values, corresponding to the row number of your dataframe from which the data was taken. Those integer values get formated as dates by an internal formatting function which gets assigned here depending on the value of show_nontrading.

As I mentioned, I don't know how this will interact with setting the major locator; it may be just fine with no issues at all. Please let me know how it works out, or if you have any further questions.

All the best. --Daniel

[Tombon-Jedi]

There is no direct support for that inside mpfinance, but you can get access to the Figure and Axes, which will then allow you to directly use matplotlib methods ( such as ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(1)) ).

There are two ways to get access to the Figure and Axes as described here.

Once you have access to the Axes, it may, or may not, be as simple as calling ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(1)), I don't know, you will have to experiment and see. But I can tell you what the issue is that you may encounter and have to deal with:

If show_nontrading=False, which is the default show_nontrading value if not specified, then the actual x-axis values are not dates, but are integer values, corresponding to the row number of your dataframe from which the data was taken. Those integer values get formated as dates by an internal formatting function which gets assigned here depending on the value of show_nontrading.

As I mentioned, I don't know how this will interact with setting the major locator; it may be just fine with no issues at all. Please let me know how it works out, or if you have any further questions.

All the best. --Daniel

I have solved this problem by temporarily modifying the plotting.py
like this picture:

and this effect is as follows:

I can change the interval by modifying the parameter value of the 'MultipleLocator'

[DanielGoldfarb]

Thank you for providing your solution. I will take a look and perhaps provide a kwarg to integrate it as an option to mpf.plot().

[Tombon-Jedi]

@DanielGoldfarb I just modified that part of the code of 'plotting.py', because I passed in the two parameters 'savefig' and 'tight_layout'. if a kwarg to integrate it as an option, this will consider more modifications.

[Tombon-Jedi]

My fiinal picture version:

Thanks for mplfinance package !

[DanielGoldfarb]

@2628202057
Tombon,
Thank you so much for sharing you work, and the image of your plot. I love seeing the creative things that people are doing with mplfinance. All the best.
--Daniel