Question

我有一个带有H3然后是段落的有序列表。

我无法弄清楚如何将标题居中。

＆＃13;

.list {    
  list-style: decimal; 
  list-style-position: inside; 
  margin-left: 0px; 
  display: inline-block;
}

.list li h3 {    
  display: inline-block;
  margin: 0 auto;
  text-align: center;   
}

＆＃13;

<ol class="list" reversed="reversed">
  <li>
    <h3>Fourth Prime</h3>
    <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus feugiat at metus ut ultricies. Aliquam lacinia libero sit amet ex accumsan, sit amet imperdiet sapien vehicula. In hac habitasse platea.</p>

  </li>
</ol>

＆＃13;

Answer 1

如果您希望以H3为中心查看display css选项，则当前from pandas_datareader import data as pdr import fix_yahoo_finance as yf import time import datetime import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as mticker import matplotlib.dates as mdates from matplotlib.finance import _candlestick as candlestick import matplotlib matplotlib.rcParams.update({'font.size': 9}) import pylab def graphData(stock, MA1, MA2): try: try: print 'Pulling data on ', stock yf.pdr_override() stockData = pdr.get_data_yahoo( stock, start='2016-08-01', end='2017-08-01') stockData.reset_index(level=0, inplace=True) print stockData.head() print stockData.values except Exception, e: print str(e), 'Failed to pull price data' date, openp, highp, lowp, closep, adjclose, volume = np.loadtxt( stockData.values, delimiter=' ', unpack=True, converters={0: mdates.strpdate2num('%Y-%m-%d %H:%M:%S')}) x = 0 y = len(date) newAr = [] while x < y: appendLine = date[x], openp[x], closep[x], highp[x], lowp[x], volume[x] newAr.append(appendLine) x += 1 Av1 = movingAverage(closep, MA1) Av2 = movingAverage(closep, MA2) SP = len(date[MA2 - 1:]) fig = plt.figure(facecolor='#07000d') #ax1 = plt.subplot(2, 1, 1) ax1 = plt.subplot2grid((6, 4), (1, 0), rowspan=4, colspan=4, axisbg='#07000d') candlestick(ax1, newAr[-SP:], width=.75, colorup='#9eff15', colordown='#ff1717') # colorup = '#53C156, colordown='#ff1717 label1 = str(MA1) + ' SMA' label2 = str(MA2) + ' SMA' ax1.plot(date[-SP:], Av1[-SP:], '#5998ff', label=label1, linewidth=1.5) # eledf9 ax1.plot(date[-SP:], Av2[-SP:], '#e1edf9', label=label2, linewidth=1.5) # 4ee6fd #ax1.plot(date, openp) #ax1.plot(date, highp) #ax1.plot(date, lowp) #ax1.plot(date, closep) ax1.grid(True, color='w') ax1.xaxis.set_major_locator(mticker.MaxNLocator(10)) ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d')) plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='upper')) ax1.yaxis.label.set_color('w') ax1.spines['bottom'].set_color('#5998ff') ax1.spines['top'].set_color('#5998ff') ax1.spines['left'].set_color('#5998ff') ax1.spines['right'].set_color('#5998ff') ax1.tick_params(axis='y', colors='w') ax1.tick_params(axis='x', colors='w') plt.ylabel('Stock Price and Volume') maLeg = plt.legend(loc=9, ncol=2, prop={'size': 7}, fancybox=True, borderaxespad=0.) maLeg.get_frame().set_alpha(0.4) textEd = pylab.gca().get_legend().get_texts() pylab.setp(textEd[0:5], color='w') ax0 = plt.subplot2grid((6, 4), (0, 0), sharex=ax1, rowspan=1, colspan=4, axisbg='#07000d') rsi = rsiFunc(closep) rsiCol = '#1a8782' posCol = '#386d13' negCol = '#8f2020' ax0.plot(date[-SP:], rsi[-SP:], rsiCol, linewidth=1.5) ax0.axhline(70, color=negCol) ax0.axhline(30, color=posCol) ax0.fill_between(date[-SP:], rsi[-SP:], 70, where=(rsi[-SP:] >= 70), facecolor=negCol, edgecolor=negCol) ax0.fill_between(date[-SP:], rsi[-SP:], 30, where=(rsi[-SP:] <= 30), facecolor=posCol, edgecolor=posCol) #ax0.set_ylim(0, 100) ax0.spines['bottom'].set_color('#5998ff') ax0.spines['top'].set_color('#5998ff') ax0.spines['left'].set_color('#5998ff') ax0.spines['right'].set_color('#5998ff') ax0.text(0.015, 0.95, 'RSI (14)', va='top', color='w', transform=ax0.transAxes) ax0.tick_params(axis='x', colors='w') ax0.tick_params(axis='y', colors='w') ax0.set_yticks([30, 70]) ax0.yaxis.label.set_color('w') # plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='lower')) # plt.ylabel('RSI') volumeMin = 0 ''' #ax2 = plt.subplot(4, 1, 4, sharex=ax1) ax2 = plt.subplot2grid( (5, 4), (4, 0), sharex=ax1, rowspan=1, colspan=4, axisbg='#07000d') #ax2.bar(date, volume) ax2.plot(date, volume, '#00ffe8', linewidth=.8) ax2.fill_between(date, volumeMin, volume, facecolor='#00ffe8', alpha=.5) ax2.axes.yaxis.set_ticklabels([]) ax2.grid(False) ax2.spines['bottom'].set_color('#5998ff') ax2.spines['top'].set_color('#5998ff') ax2.spines['left'].set_color('#5998ff') ax2.spines['right'].set_color('#5998ff') ax2.tick_params(axis='x', colors='w') ax2.tick_params(axis='y', colors='w') plt.ylabel('Volume', color='w') for label in ax2.xaxis.get_ticklabels(): label.set_rotation(45) ''' ax1v = ax1.twinx() ax1v.fill_between(date[-SP:], volumeMin, volume[-SP:], facecolor='#00ffe8', alpha=.5) ax1v.axes.yaxis.set_ticklabels([]) ax1v.grid(False) ax1v.spines['bottom'].set_color('#5998ff') ax1v.spines['top'].set_color('#5998ff') ax1v.spines['left'].set_color('#5998ff') ax1v.spines['right'].set_color('#5998ff') ax1v.set_ylim(0, 2 * volume.max()) ax1v.tick_params(axis='x', colors='w') ax1v.tick_params(axis='y', colors='w') ax2 = plt.subplot2grid((6, 4), (5, 0), sharex=ax1, rowspan=1, colspan=4, axisbg='#07000d') fillcolor = '#00ffe8' nslow = 26 nfast = 12 nema = 9 emaslow, emafast, macd = computeMACD(closep) ema9 = expMovingAverage(macd, nema) ax2.plot(date[-SP:], macd[-SP:], color='#4ee6fd', lw=2) ax2.plot(date[-SP:], ema9[-SP:], color='#e1edf9', lw=1) ax2.fill_between(date[-SP:], macd[-SP:] - ema9[-SP:], 0, alpha=0.5, facecolor=fillcolor, edgecolor=fillcolor) ax2.text(0.015, 0.95, 'MACD 12,26,9', va='top', color='w', transform=ax2.transAxes) ax2.spines['bottom'].set_color('#5998ff') ax2.spines['top'].set_color('#5998ff') ax2.spines['left'].set_color('#5998ff') ax2.spines['right'].set_color('#5998ff') ax2.tick_params(axis='x', colors='w') ax2.tick_params(axis='y', colors='w') #plt.ylabel('MACD', color='w') # plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='upper')) ax2.yaxis.set_major_locator( mticker.MaxNLocator(nbins=5, prune='upper')) for label in ax2.xaxis.get_ticklabels(): label.set_rotation(45) # plt.xlabel('Date') plt.suptitle(stock.upper(), color='w') plt.setp(ax0.get_xticklabels(), visible=False) plt.setp(ax1.get_xticklabels(), visible=False) plt.subplots_adjust(left=.09, bottom=.14, right=.94, top=.95, wspace=.20, hspace=0) plt.show() # fig.savefig('Example.png', facecolor=fig.get_facecolor()) except Exception, e: print 'Failed Main Loop', str(e) while True: stockToUse = raw_input('Stock to chart: ') graphData(stockToUse, 12, 26) # 20,200不允许H3标记居中。

display: inline-block

无法中心订购列表标题

1 个答案: