def test_Subplot():
fig = plt.figure()
ax = Subplot(fig, 1, 1, 1)
fig.add_subplot(ax)
xx = np.arange(0, 2 * np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax.set_ylabel("Test")
ax.axis["top"].major_ticks.set_tick_out(True)
ax.axis["bottom"].major_ticks.set_tick_out(True)
ax.axis["bottom"].set_label("Tk0")
def test_Subplot():
fig = plt.figure()
ax = Subplot(fig, 1, 1, 1)
fig.add_subplot(ax)
xx = np.arange(0, 2 * np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax.set_ylabel("Test")
ax.axis["top"].major_ticks.set_tick_out(True)
ax.axis["bottom"].major_ticks.set_tick_out(True)
ax.axis["bottom"].set_label("Tk0")
def lineGraph(all_data, eps):
fig = plt.figure(1, (18 * 2, 9 * 2))
ax = Subplot(fig, 111)
fig.add_subplot(ax)
ax.plot(eps, all_data, 'ro-', label='POI聚类总数')
ax.axis["right"].set_visible(False)
ax.axis["top"].set_visible(False)
ax.set_xlabel('聚类距离', fontsize=30)
ax.set_ylabel('聚类总数', fontsize=30)
ax.tick_params(labelsize=20)
plt.legend()
plt.savefig(os.path.join(savingFig, "lineGraph"))
plt.show()
def test_Subplot():
# Remove this line when this test image is regenerated.
plt.rcParams['text.kerning_factor'] = 6
fig = plt.figure()
ax = Subplot(fig, 1, 1, 1)
fig.add_subplot(ax)
xx = np.arange(0, 2 * np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax.set_ylabel("Test")
ax.axis["top"].major_ticks.set_tick_out(True)
ax.axis["bottom"].major_ticks.set_tick_out(True)
ax.axis["bottom"].set_label("Tk0")
values["server_type"] = server_type_category[server_type_index][0]
# ax = axes[int(cpu_count_index / 2), cpu_count_index % 2]
values["cpu_number"] = first_image_vcpu_count[cpu_count_index]
result = []
for cpu_frequency_index in range(0, len(first_image_frequency_x)):
values["cpu_frequency"] = first_image_frequency_x[
cpu_frequency_index]
cursor_DictCursor.execute(select_record, values)
print(values)
select_result = cursor_DictCursor.fetchall()
print(select_result)
result.append(float(select_result[0]['kernel_run_time']))
print()
print()
ax.plot(first_image_frequency_x,
result,
color=line_color[server_type_index],
marker='v')
# 设置上边和右边无边框
ax.axis['right'].set_visible(False)
ax.axis['top'].set_visible(False)
ax.axis['left'].set_axisline_style('->')
ax.axis['bottom'].set_axisline_style('->')
ax.set_xticks(np.array(first_image_frequency_x))
ax.set_xlabel("GHz")
ax.set_ylabel("MB/s")
ax.set_title('the number of VCPU is ' +
str(first_image_vcpu_count[cpu_count_index]))
print(result)
"""
胸径树高频率频数分布拟合
"""
x = np.array(df['胸径'])
fig = plt.figure(figsize=(10, 6))
ax = Subplot(fig, 221)
fig.add_subplot(ax)
ax.axis["right"].set_visible(False)
ax.axis["top"].set_visible(False)
n, bins, c = ax.hist(df['胸径'], bins=range(23, 51, 2), edgecolor='black')
y = n
x = bins[:-1]
ztfb = get_curve_fit_param(x, y, func, p0=[5, 35, 6])
ztfbpre = func(x, *ztfb)
# ax.plot(x,y,'r*',ls='-')
ax.plot(x, ztfbpre, 'b+', ls='-', color='orange')
wbfb = get_curve_fit_param(x, y, weib, p0=[20, 20, 5])
wbfbpre = weib(x, *wbfb)
# plt.plot(x,y,'r*')
ax.plot(x, wbfbpre, 'b+', ls='-')
plt.xticks(range(24, 51, 2))
plt.xlabel('径阶分布（cm）')
plt.ylabel('频数')
plt.yticks([2, 4, 6, 8])
ax1 = Subplot(fig, 222)
fig.add_subplot(ax1)
ax1.axis["right"].set_visible(False)
ax1.axis["top"].set_visible(False)
n1, bins1, c1 = ax1.hist(df['树高'], bins=range(11, 23, 1), edgecolor='black')
y1 = n1
x1 = bins1[:-1]
# ax = axes[int(cpu_count_index / 2), cpu_count_index % 2]
values["cpu_number"] = first_image_vcpu_count[cpu_count_index]
result = []
for cpu_frequency_index in range(0, len(first_image_frequency_x)):
values["cpu_frequency"] = first_image_frequency_x[
cpu_frequency_index]
cursor_DictCursor.execute(select_record, values)
print(values)
select_result = cursor_DictCursor.fetchall()
print(select_result)
result.append(float(select_result[0]['linpack_run_time']))
print()
print()
line = ax.plot(np.array(first_image_frequency_x) / 10.0,
result,
color=line_color[server_type_index],
marker='v',
lw=2)[0]
line_list.append(line_list)
# 设置上边和右边无边框
ax.axis['right'].set_visible(False)
ax.axis['top'].set_visible(False)
ax.axis['left'].set_axisline_style('->')
ax.axis['bottom'].set_axisline_style('->')
ax.set_xticks(np.array(first_image_frequency_x) / 10.0)
ax.set_xlabel("CPU Frequency(GHz)")
ax.set_ylabel("Runtime(s)")
ax.set_title('the number of VCPU is ' +
str(first_image_vcpu_count[cpu_count_index]),