not working with plot_date

[manu2000]

Thanks for creating such an awesome tool!
I am trying to use it with plot_date, however I get this error:

File "C:\Anaconda3\lib\site-packages\adjustText\adjustText.py", line 407, in adjust_text
ax=ax)

File "C:\Anaconda3\lib\site-packages\adjustText\adjustText.py", line 111, in optimally_align_text
c = len(get_points_inside_bbox(x, y, bbox))

File "C:\Anaconda3\lib\site-packages\adjustText\adjustText.py", line 24, in get_points_inside_bbox
x_in = np.logical_and(x>x1, x<x2)

File "pandas\tslib.pyx", line 941, in pandas.tslib._Timestamp.richcmp (pandas\tslib.c:18619)

TypeError: Cannot compare type 'Timestamp' with type 'float'

I also tried to set locale as you recommended in the example using:
import locale locale.setlocale(locale.LC_ALL,'en_GB.utf8')
but I get this error:

File "", line 2, in
locale.setlocale(locale.LC_ALL,'en_GB.utf8')

File "C:\Anaconda3\lib\locale.py", line 594, in setlocale
return _setlocale(category, locale)

Error: unsupported locale setting

[manu2000]

BTW I am using Python 3.5.

[manu2000]

Looks like the code that you used for changing locale is for linux. These are the codes for windows .

Using these codes I was able to change the locale settings but I am still getting the same error as above when using adjustText. I tried both 'english-uk' and 'english-us'.

[Phlya]

Can you provide the code to reproduce this error?
I never use anything with time series myself, so don't know much about this...
And about the locale, I had the problem because mine was set to Russian, if your system in in English it should be fine I think.

[manu2000]

Here is some sample code. I am using Windows and python 3.5.

import matplotlib.pyplot as plt
from adjustText import adjust_text
import datetime
import random

x = [datetime.datetime.now() + datetime.timedelta(days=i) for i in range(30)]
y = [i+random.gauss(0,1) for i,_ in enumerate(x)]

plt.plot_date(x,y)

plt.gcf().autofmt_xdate()

texts = []
for i,_ in enumerate(x):
    texts.append(plt.text(x[i],y[i],round(y[i],3),fontsize=8))   
adjust_text(texts, arrowprops=dict(arrowstyle="-", color='r', lw=0.5))

plt.show()

[Phlya]

Can you try running the code from the examples? As I said, I have exactly zero experience with date/time plotting, so I don't know - could there be a difference between dates with mpl.mdates and datetime?

[manu2000]

You are right. The error was because I need to convert the dates to number using
mdates.date2num() before passing it to adjust_text(). After doing this I am not getting any error.

[Phlya]

Glad to hear, thanks! Can you show the final code that works here for future reference?

[manu2000]

Sure. Here is a working example with plot_date:

import matplotlib.pyplot as plt
from adjustText import adjust_text
import datetime
import random
import matplotlib.dates as mdates

# make up some data
x = [datetime.datetime.now() + datetime.timedelta(days=i) for i in range(30)]
y = [i+random.gauss(0,1) for i,_ in enumerate(x)]

# plot
plt.plot_date(x,y)
# beautify the x-labels
plt.gcf().autofmt_xdate()

texts = []
for i,_ in enumerate(x):
    texts.append(plt.text(mdates.date2num(x[i]),y[i],round(y[i],3),fontsize=8))   
adjust_text(texts, arrowprops=dict(arrowstyle="-", color='r', lw=0.5))

plt.show()

[Phlya]

Thank you!
This is better then, I guess? Seems like it works the same.

import matplotlib.pyplot as plt
from adjustText import adjust_text
import datetime
import random
import matplotlib.dates as mdates

# make up some data
x = [datetime.datetime.now() + datetime.timedelta(days=i) for i in range(30)]
y = [i+random.gauss(0,1) for i,_ in enumerate(x)]

x = mdates.date2num(x)

# plot
plt.plot_date(x,y)
# beautify the x-labels
plt.gcf().autofmt_xdate()

texts = []
for i,_ in enumerate(x):
    texts.append(plt.text(x[i], y[i], round(y[i],3), fontsize=8))   
adjust_text(texts, arrowprops=dict(arrowstyle="-", color='r', lw=0.5))

plt.show()

[manu2000]

mdates.date2num(x) is not needed, that was a typo. Infact x = mdates.date2num(x) will give an error. I will edit my comment.

[Phlya]

For me it works and doesn't require converting each x value separately when adding texts.