python - 图例无法正确放置数据和标签

Question

我有来自两个不同数据框的数据。

ice_data_dates

Date    2011    2012    2013    2014    2015    2016    2017    2018    2019    2020    max_value   min_value
Date                                                
01 Jan  12.896  13.353  12.959  13.011  13.073  12.721  12.643  12.484  12.876  13.102  13.353  12.484
02 Jan  12.915  13.421  12.961  13.103  13.125  12.806  12.644  12.600  12.956  13.075  13.421  12.600
03 Jan  12.926  13.379  13.012  13.116  13.112  12.790  12.713  12.634  12.959  13.176  13.379  12.634
04 Jan  13.051  13.414  13.045  13.219  13.051  12.829  12.954  12.724  13.047  13.187  13.414  12.724
05 Jan  13.176  13.417  13.065  13.148  13.115  12.874  12.956  12.834  13.098  13.123  13.417  12.834

ice_data_climo

    DOY AverageExtent   StdDeviation    10th    25th    50th    75th    90th
0   1   13.778  0.407   13.183  13.479  13.823  14.095  14.257
1   2   13.842  0.434   13.201  13.538  13.886  14.164  14.321
2   3   13.891  0.443   13.264  13.502  13.884  14.283  14.369
3   4   13.930  0.443   13.284  13.590  13.925  14.288  14.417
4   5   13.978  0.437   13.349  13.617  14.036  14.304  14.470

我在下面画了一个线图。

fig, ax = plt.subplots()
ice_data_dates.plot(figsize=(20,12), lw=3, fontsize=16, ax=ax, grid=True)
for line in ax.get_lines():
    if line._label == '2020':
        line.set_linewidth(6)
        line.set_color('k')

legend=['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '1981-2010 Average', 'Interquartile Range', 'Interdecile Range']
plt.text(0.80, 0.97, "Sea Ice Extent for" + " " +str(plot_date)+ "=%f $10^6$ km" %ice_today, fontsize=16, horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
plt.text(0.80, 0.94, "Min Sea Ice Extent for" + " " +str(plot_date)+ "=%f $10^6$ km" %min_today, fontsize=16, horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
plt.text(0.80, 0.91, "Max Sea Ice Extent for" + " " +str(plot_date)+ "=%f $10^6$ km" %max_today, fontsize=16, horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)

plt.plot(ice_climo['DOY'], ice_climo['AverageExtent'], c='k', lw=3, linestyle='--')

plt.fill_between(ice_climo['DOY'],ice_climo['AverageExtent'],ice_climo['25th'], color='dimgray', alpha=0.7)
plt.fill_between(ice_climo['DOY'],ice_climo['AverageExtent'],ice_climo['10th'], color='lightgray', alpha=0.5)
plt.fill_between(ice_climo['DOY'],ice_climo['AverageExtent'],ice_climo['75th'], color='dimgray', alpha=0.7)
plt.fill_between(ice_climo['DOY'],ice_climo['AverageExtent'],ice_climo['90th'], color='lightgray', alpha=0.5)


plt.title('Arctic Sea Ice Extent for the Latest 10 Years', fontsize=22, weight='bold' )    
ax.set_xlabel("Date", weight='bold', fontsize=16)
ax.set_ylabel("Sea Ice Extent ($10^6$ km)", weight='bold', fontsize=16)
ax.legend(legend, loc='lower left', fontsize=20)
plt.axvline(x=plot_day, c='k', linestyle='--')

这产生了这个数字。

但是，如果您注意到，传说由于某种原因搞砸了。1981-2010 年的平均值应该是一条黑色虚线，四分位数/十分位数的平均值应该是不同的灰色阴影。我到底在搞砸什么传说？

标签： pythonpandasdataframematplotlib