Matplotlib: Formatting dates on the x-axis in a 3D Bar graph

Question

Given this 3D bar graph sample code, how would you convert the numerical data in the x-axis to formatted date/time strings? I\'ve attempted using the ax.xaxis_date() functio

Answer 1

There might be some confusion here, the Axes3D has the properties w_xaxis, w_yaxis and w_zaxis for the axises instead of the usual xaxix, yaxis, etc..

UPDATE Now uses function to format labels.

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.dates as dates
import datetime, random
import matplotlib.ticker as ticker

def random_date():
    date = datetime.date(2008, 12, 1)
    while 1:
        date += datetime.timedelta(days=30)
        yield (date)

def format_date(x, pos=None):
    return dates.num2date(x).strftime('%Y-%m-%d') #use FuncFormatter to format dates

r_d = random_date()
some_dates = [dates.date2num(next(r_d)) for i in range(0,20)]

fig = plt.figure(figsize=(10, 10))
ax = Axes3D(fig,rect=[0,0.1,1,1]) #make room for date labels

for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
    xs = np.array(some_dates)
    ys = np.random.rand(20)
    ax.bar(xs, ys, zs=z, zdir='y', color=c, alpha=0.8,width=8)

ax.w_xaxis.set_major_locator(ticker.FixedLocator(some_dates)) # I want all the dates on my xaxis
ax.w_xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
for tl in ax.w_xaxis.get_ticklabels(): # re-create what autofmt_xdate but with w_xaxis
    tl.set_ha('right')
    tl.set_rotation(30)     

ax.set_ylabel('Series')
ax.set_zlabel('Amount')

plt.show()

Produces: