%load_ext autoreload
%autoreload 2
%matplotlib inline
import numpy as np
import datetime as dt
import pickle
import pandas as pd
import datetime
from datetime import timedelta, date
from datetime import date as dt
import math
import os
import matplotlib.pyplot as plt
plt.style.use('ggplot')
from pylab import plot,show
from matplotlib import ticker
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.dates as mdates
import pylab as pl
x_min_global=datetime.date(2010,1, 1)- timedelta(days=180)
x_max_global=datetime.date(2015,1, 1)+ timedelta(days=180)
d = pd.DataFrame(0, index=np.arange(155),columns=['Zeros'])
d = pd.DataFrame(0, index=np.arange(2),columns=['Zeros'])
wd=os.getcwd()
def format_date(x, pos=None):
return pl.num2date(x).strftime('%Y-%m-%d')
with PdfPages(wd+'/Plots.pdf') as pdf:
#Plot 1: All
fig = plt.figure(facecolor='white',frameon=True,figsize=(30, 30))
plt.title('Page One ', y=1.08)
axes1 = fig.add_subplot(3,1,1,frameon=False)
axes1.set_xlim(x_min_global,x_max_global)
axes1.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
#Plot line a at 0-level
axes1.plot([x_min_global,x_max_global],d.loc[0:1],color='k', linewidth=2.0, markersize=10.0)
# labels and legend
axes1.set_title('Plot 1')
plt.xlabel('Time', fontsize=10)
plt.ylabel('Y-Values', fontsize=10)
axes1.legend(loc='upper left')
#-----------------------------------------------------------------------
#Plot 2:
axes1 = fig.add_subplot(3,1,2,frameon=False)
axes1.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
#Plot line a at 0-level
axes1.plot([x_min_global,x_max_global],d.loc[0:1],color='k', linewidth=2.0, markersize=10.0)
# labels and legend
axes1.set_title('Plot 2')
plt.xlabel('Time', fontsize=10)
plt.ylabel('Y-Values', fontsize=10)
axes1.legend(loc='upper left')
#-----------------------------------------------------------------------
#Plot 3:
axes2 = fig.add_subplot(3,1,3,frameon=False)
axes2.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
#Plot line a at 0-level
axes2.plot([x_min_global,x_max_global],d.loc[0:1],color='k', linewidth=2.0, markersize=10.0)
# labels and legend
axes2.set_title('Plot 3')
plt.xlabel('Time', fontsize=10)
plt.ylabel('Y-Values', fontsize=10)
axes2.legend(loc='upper left')
pdf.savefig(frameon=False,transparent=False,papertype='a4') # saves the current figure into a pdf page
plt.show()
plt.close()
我的问题是,在图形轴上方的代码生成的图中,子图像似乎重叠(参见图中的红色矩形)。我试图关掉图中的轴。但是,我无法弄明白。
感谢任何帮助。谢谢。
代码/问题的输出:
答案 0 :(得分:0)
如果你想完全移除轴,你应该尝试:
plt.axis('off')
如果这不起作用(或者不按照您的意愿行事),请尝试:
cur_axes = plt.gca()
cur_axes.axes.get_xaxis().set_visible(False)
cur_axes.axes.get_yaxis().set_visible(False)