def draw_histogram(filename,
dvalues,
titledict=None,
tl_list=None,
tr_list=None,
bins=200,
ranges=None,
label='Hist'):
"""
画直方图
"""
plt.style.use(os.path.join(dvPath, 'dv_pub_regression.mplstyle'))
alpha = 1
fig = plt.figure(figsize=(6, 4))
fig.subplots_adjust(top=0.92, bottom=0.13, left=0.11, right=0.96)
ax = plt.gca()
ax.grid(True)
ax.hist(dvalues,
bins,
histtype='bar',
color='blue',
label=label,
alpha=alpha)
ax.legend(prop={'size': 10})
add_annotate(ax, tl_list, 'left')
add_annotate(ax, tr_list, 'right')
add_title(titledict)
set_tick_font(ax)
plt.savefig(filename)
fig.clear()
plt.close()
def plot_tbbias(date_D, bias_D, date_M, bias_M, picPath, title, date_s, date_e,
satName):
'''
画偏差时序折线图
'''
fig = plt.figure(figsize=(6, 4))
# plt.subplots_adjust(left=0.13, right=0.95, bottom=0.11, top=0.97)
if (np.isnan(bias_D)).all():
Log.error('Everything is NaN: %s' % picPath)
return
plt.plot(date_D,
bias_D,
'x',
ms=6,
markerfacecolor=None,
markeredgecolor=BLUE,
alpha=0.8,
mew=0.3,
label='Daily')
plt.plot(date_M, bias_M, 'o-', ms=5, lw=0.6, c=RED, mew=0, label='Monthly')
plt.grid(True)
plt.ylabel('DTB($K$)', fontsize=11, fontproperties=FONT0)
xlim_min = pb_time.ymd2date('%04d%02d01' % (date_s.year, date_s.month))
xlim_max = date_e
plt.xlim(xlim_min, xlim_max)
if "FY2" in satName:
plt.ylim(-8, 8)
elif "FY3" in satName:
plt.ylim(-8, 8)
elif "FY4" in satName:
plt.ylim(-2, 2)
ax = plt.gca()
# format the ticks
setXLocator(ax, xlim_min, xlim_max)
set_tick_font(ax)
# title
plt.title(title, fontsize=12, fontproperties=FONT0)
plt.tight_layout()
#--------------------
fig.subplots_adjust(bottom=0.2)
circle1 = mpatches.Circle((74, 15), 6, color=BLUE, ec=EDGE_GRAY, lw=0)
circle2 = mpatches.Circle((164, 15), 6, color=RED, ec=EDGE_GRAY, lw=0)
fig.patches.extend([circle1, circle2])
fig.text(0.15, 0.02, 'Daily', color=BLUE, fontproperties=FONT0)
fig.text(0.3, 0.02, 'Monthly', color=RED, fontproperties=FONT0)
ymd_s, ymd_e = date_s.strftime('%Y%m%d'), date_e.strftime('%Y%m%d')
if ymd_s != ymd_e:
fig.text(0.50, 0.02, '%s-%s' % (ymd_s, ymd_e), fontproperties=FONT0)
else:
fig.text(0.50, 0.02, '%s' % ymd_s, fontproperties=FONT0)
fig.text(0.8, 0.02, ORG_NAME, fontproperties=FONT0)
#---------------
pb_io.make_sure_path_exists(os.path.dirname(picPath))
plt.savefig(picPath)
fig.clear()
plt.close()
def plot_tbbias(date_D, bias_D, date_M, bias_M, picPath, title, date_s, date_e):
"""
画偏差时序折线图
"""
plt.style.use(os.path.join(DV_PATH, 'dv_pub_timeseries.mplstyle'))
fig = plt.figure(figsize=(6, 4))
# plt.subplots_adjust(left=0.13, right=0.95, bottom=0.11, top=0.97)
if (np.isnan(bias_D)).all():
Log.error('Everything is NaN: %s' % picPath)
return
plt.plot(date_D, bias_D, 'x', ms=6,
markerfacecolor=None, markeredgecolor=BLUE, alpha=0.8,
mew=0.3, label='Daily')
plt.plot(date_M, bias_M, 'o-', ms=5, lw=0.6, c=RED,
mew=0, label='Monthly')
plt.grid(True)
plt.ylabel('DTB($K$)', fontsize=11, fontproperties=FONT0)
xlim_min = date_s
xlim_max = date_e
plt.xlim(xlim_min, xlim_max)
plt.ylim(-1, 1)
# 画 y=0 线
plt.plot([xlim_min, xlim_max], [0, 0], color='#808080',
linewidth=1.0)
ax = plt.gca()
# format the ticks
setXLocator(ax, xlim_min, xlim_max)
set_tick_font(ax)
ax.yaxis.set_major_locator(MultipleLocator(0.25))
ax.yaxis.set_minor_locator(MultipleLocator(0.125))
# title
plt.title(title, fontsize=12, fontproperties=FONT0)
plt.tight_layout()
#--------------------
fig.subplots_adjust(bottom=0.2)
circle1 = mpatches.Circle((74, 15), 6, color=BLUE, ec=EDGE_GRAY, lw=0)
circle2 = mpatches.Circle((164, 15), 6, color=RED, ec=EDGE_GRAY, lw=0)
fig.patches.extend([circle1, circle2])
fig.text(0.15, 0.02, 'Daily', color=BLUE, fontproperties=FONT0)
fig.text(0.3, 0.02, 'Monthly', color=RED, fontproperties=FONT0)
ymd_s, ymd_e = date_s.strftime('%Y%m%d'), date_e.strftime('%Y%m%d')
if ymd_s != ymd_e:
fig.text(0.50, 0.02, '%s-%s' % (ymd_s, ymd_e), fontproperties=FONT0)
else:
fig.text(0.50, 0.02, '%s' % ymd_s, fontproperties=FONT0)
fig.text(0.8, 0.02, ORG_NAME, fontproperties=FONT0)
#---------------
pb_io.make_sure_path_exists(os.path.dirname(picPath))
plt.savefig(picPath)
fig.clear()
plt.close()
def plot_bias(date_D, bias_D, date_M, bias_M, picPath, title, date_s, date_e,
each, date_type, ylim_min, ylim_max):
"""
画偏差时序折线图
"""
plt.style.use(os.path.join(dvPath, 'dv_pub_timeseries.mplstyle'))
fig = plt.figure(figsize=(6, 4))
# plt.subplots_adjust(left=0.13, right=0.95, bottom=0.11, top=0.97)
plt.plot(date_D,
bias_D,
'x',
ms=6,
markerfacecolor=None,
markeredgecolor=BLUE,
alpha=0.8,
mew=0.3,
label='Daily')
plt.plot(date_M, bias_M, 'o-', ms=5, lw=0.6, c=RED, mew=0, label='Monthly')
plt.grid(True)
plt.ylabel('%s %s' % (each, date_type), fontsize=11, fontproperties=FONT0)
xlim_min = pb_time.ymd2date('%04d%02d01' % (date_s.year, date_s.month))
xlim_max = date_e
plt.plot([xlim_min, xlim_max], [0, 0], '#808080') # 在 y=0 绘制一条深灰色直线
plt.xlim(xlim_min, xlim_max)
plt.ylim(ylim_min, ylim_max)
ax = plt.gca()
# format the ticks
interval = (ylim_max - ylim_min) / 8 # 8 个间隔
minibar = interval / 2.
setXLocator(ax, xlim_min, xlim_max)
set_tick_font(ax)
# 如果范围为浮点数，需要进行一次格式化，否则图像不会显示最后一个刻度
if isinstance(interval, float):
interval = float('%.5f' % interval)
minibar = float('%.5f' % minibar)
ax.yaxis.set_major_locator(MultipleLocator(interval))
ax.yaxis.set_minor_locator(MultipleLocator(minibar))
# title
plt.title(title, fontsize=12, fontproperties=FONT0)
plt.tight_layout()
# --------------------
fig.subplots_adjust(bottom=0.2)
circle1 = mpatches.Circle((74, 15), 6, color=BLUE, ec=EDGE_GRAY, lw=0)
circle2 = mpatches.Circle((164, 15), 6, color=RED, ec=EDGE_GRAY, lw=0)
fig.patches.extend([circle1, circle2])
fig.text(0.15, 0.02, 'Daily', color=BLUE, fontproperties=FONT0)
fig.text(0.3, 0.02, 'Monthly', color=RED, fontproperties=FONT0)
ymd_s, ymd_e = date_s.strftime('%Y%m%d'), date_e.strftime('%Y%m%d')
if ymd_s != ymd_e:
fig.text(0.50, 0.02, '%s-%s' % (ymd_s, ymd_e), fontproperties=FONT0)
else:
fig.text(0.50, 0.02, '%s' % ymd_s, fontproperties=FONT0)
fig.text(0.8, 0.02, ORG_NAME, fontproperties=FONT0)
# ---------------
pb_io.make_sure_path_exists(os.path.dirname(picPath))
plt.savefig(picPath)
fig.clear()
plt.close()