# 尝试使用Matplotlib在条形图上绘制线形图

``````def hridef_base(x):
if x == 1:

deltatlapexit = ExitSummary['Avg tLap'] - ExitSummary2['Avg tLap']

plt.figure()
index = (EntrySummary.index + 1)
barwidth = 0.2

plt.ylim(0.0, 65.0)
plt.bar(index-barwidth, EntrySummary['Avg FRH'], barwidth, color='r', yerr=EntrySummary['FRH StDev'], ecolor='k', label='Entry')
plt.bar(index, ApexSummary['Avg FRH'], barwidth, color='#4169E1', yerr=ApexSummary['FRH StDev'], ecolor='k', label='Apex')
plt.bar(index+barwidth, ExitSummary['Avg FRH'], barwidth, color='#32CD32', yerr=ExitSummary['FRH StDev'], ecolor='k', label='Exit')

plt.plot(index, deltatlapexit, color='k', label='Entry')

plt.xlabel('Turn Number')
plt.ylabel('Average FRideH')
plt.title('Average FRideH for Baseline setup')
plt.xticks(index)
plt.legend()

else:
print "Baseline FRideH Not Selected"
``````

# 更新

``````def hridef_base(x):
if x == 1:

deltatlapexit = ExitSummary['Avg tLap'] - ExitSummary2['Avg tLap']

fig, axis1 = subplots()
index = (EntrySummary.index + 1)
barwidth = 0.2

axis1.ylim(0.0, 65.0)
axis1.bar(index-barwidth, EntrySummary['Avg FRH'], barwidth, color='r', yerr=EntrySummary['FRH StDev'], ecolor='k', label='Entry')
axis1.bar(index, ApexSummary['Avg FRH'], barwidth, color='#4169E1', yerr=ApexSummary['FRH StDev'], ecolor='k', label='Apex')
axis1.bar(index+barwidth, ExitSummary['Avg FRH'], barwidth, color='#32CD32', yerr=ExitSummary['FRH StDev'], ecolor='k', label='Exit')

axis2 = axis1.twinx()
axis2.set_ylim(-10.0, 10.0)
axis2.plot(index, deltatlapexit, color='k', label='tDelta')

axis1.xlabel('Turn Number')
axis1.ylabel('Average FRideH')
axis2.set_ylabel('tDelta')
axis1.title('Average FRideH for Baseline setup')
axis1.xticks(index)
axis1.legend()
axis2.legend()

else:
print "Baseline FRideH Not Selected"
``````

``````from matplotlib import pyplot as plt
import numpy as np

plt.figure()
N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)
width = 0.35       # the width of the bars
womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N)
plt.ylim(0.0, 65.0)
plt.bar(ind, menMeans, width, color='r', yerr=menStd, label='Men means')
plt.bar(ind+width, womenMeans, width, color='y', yerr=womenStd, label='Women means')
plt.ylabel('Bar plot')

x = np.linspace(0, N)
y = np.sin(x)
axes2 = plt.twinx()
axes2.plot(x, y, color='k', label='Sine')
axes2.set_ylim(-1, 1)
axes2.set_ylabel('Line plot')

plt.show()
``````

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