python柱形图显示年份_python – Matplotlib:在3D条形图中的x轴格式化日期

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  • Post category:python


这里可能会有一些混乱,Axes3D具有轴的属性w_xaxis,w_yaxis和w_zaxis,而不是通常的xaxix,yaxis等.

UPDATE现在使用函数来格式化标签.

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, 12,01)

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(r_d.next()) for i in range(0,20)]

fig = plt.figure()

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()

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