MrDvbnhbq's profile - activity

Aha!.. That's a pretty nice solution. Will definitely dig deeper into pandas too. Thanks a lot for your help! Cheers 👍

Yes, thanks for this answer. I've already tried that with the same result. But this example is for pure matplotlib, not the sage Graphics object. I would like to know, what does that matplotlib() exactly do? I even tried:

from matplotlib.pyplot import figure
...   
fig = figure()
fig = p.matplotlib(fig)
...

to draw the plot on the new figure provided, but this doesn't work for me. So, the question is, is this matplotlib() function supposed to give the access to p attributes, which were previosly set when the plot was created, and should the changes made on the figure effect onto the plot? And is the plot is supposed to be redrawn on the new figure when the plot is passed as an argument to matplotlib()?

I'm new to Sage, but it looks like I could answer to 1) and 2)

1) and 2) You can do this by using $ ....... $ inline syntax

2) Please refer to ticks, tick_formatter parameters description, you just pass a list of ticks labels to it, please see the description here: http://doc.sagemath.org/html/en/reference/plotting/sage/plot/graphics.html?highlight=tick_formatter.

Example:

 sage: plot(x**2, (x,0,2), ticks=[[1,2], None], tick_formatter=[["$x_1$","$x_2$"], None])
 Graphics object consisting of 1 graphics primitive

Hello, thank you for your response. I've added the information needed to comply.

If that would be a better way to ask questions, https://ask.sagemath.org/question/51080/how-to-change-ticks-labels-attributes-for-the-2d-plot/

Any help is much appreciated.

Is there a way to access ticks labels to rotate them? I've tried Graphics.matplotlib() and set_rotation(), but this doesn't seem to produce changes. Am I doing wrong things?

In the example below, the formatter and locator are working correctly, but the problem is all labels are oriented horizontally, messing all together since each tick label is a date and therefore quite long. Need to rotate them.

import csv
from datetime import datetime
from matplotlib import ticker
from matplotlib import dates

data = [('04/22/20', '04/23/20', '04/24/20','04/25/20','04/26/20', '04/27/20'),
        (20, 40, 80, 160, 320, 640)]
labels = data[0]
labels = map(lambda x: dates.date2num(datetime.strptime(x, '%m/%d/%y')), labels)
labels = list(labels)
values = data[1]
values = map(lambda x: int(x), values)

# Z is a list of [(x1, y1), (x2, y2)...]
# x1, x2, ... are dates
# y1, y2, ... are values
Z = zip(labels, values)
Z = list(Z)

p = list_plot(Z, ticks=[1, None],
              tick_formatter=[dates.DateFormatter('%d.%m.%Y'), None],
              axes_labels=['Days', '$\\log \\;{N}$'], plotjoined=True,
              thickness=2, figsize=4, scale='semilogy')

G = p.matplotlib()
labels = G.axes[0].xaxis.get_ticklabels()
labels = list(labels)

for label in labels:
    label.set_rotation(45)

p

This outputs the plot with an ugly x-axis on which all the dates are messed up. How to fix that?

Is there a way to access ticks labels to rotate them? I've tried Graphics.matplotlib() and set_rotation(), but this doesn't seem to produce changes. Am I doing wrong things?

# Z is a list of [(x1,y1),(x2,y2)...]
# x1,x2 are dates
# The formatter and locator are working correctly, but the problem is all labels are oriented horizontally, messing all together. Need to rotate them
p = list_plot( Z, ticks=[10, None], tick_formatter=[dates.DateFormatter('%d.%m.%Y'), None], axes_labels=[ 'Days', '$\\log \\;{N}$' ], scale='semilogy' )

G = p.matplotlib()
labels = G.axes[0].xaxis.get_ticklabels()
labels = list(labels)

for label in labels:
    label.set_rotation(45)