我想分析四個工具在運行多個程序時的性能。一個子圖是一個工具在所有程序上的結果。結果應該是這樣的: Python:專門爲子圖中的條設置x tick?
我用for循環遍歷程序列表中的每一次繪製一個部分如下:
但情節看起來像一個一個和我不能通過使用axis.set_xticks()
來分開它們的x標記。看來這個功能沒有效果。
我是否使用正確的功能來設置x刻度?或者我應該如何製作這個情節?
draw_hist_query()
可能是最重要的功能對於我的問題
數據樣本:
boolector,ppbv,stp,z3
0.05349588394165039,0.015434503555297852,0.028127193450927734,0.11303281784057617
0.0027561187744140625,0.004331827163696289,0.007134914398193359,0.016040563583374023
0.003190755844116211,0.005587577819824219,0.002897500991821289,0.013916015625
0.009758472442626953,0.02006363868713379,0.0031282901763916016,0.011539697647094727
0.057138681411743164,0.012826681137084961,0.030836820602416992,0.0217435359954834
代碼:
index = range(len(solvers))
fig, axes = plt.subplots(nrows=4)
solvers = ['z3', 'stp', 'boolector', 'ppbv']
colors = ['g', 'c', 'b', 'r', 'y', 'orange', 'grey']
ticks = [0.1, 0.5, 1.0, 2.0]
width=0.2
# program entry
def all_time_query(path):
csv = xxx.csv # the array of data to be analyzed, one csv for one program
for axis in axes:
axis.set_xticks(range(len(csv)))
for c in csv:
multi_time_query(c) # draw the bar pair for c, which shows the upper image for one program on four tools
def multi_time_query(csv):
data = pd.read_csv(csv)
for solver in solvers: # the four tools
bin = index[solvers.index(solver)]
hist_t_query(data, solver, ax=axes[bin]) # details to draw the bar pair, uses dataframe.plot.bar
def hist_t_query(data, solver, ax):
solver_data = pd.DataFrame(data).as_matrix(columns=[solver])
# draw one bar for demo
draw_hist_query(pd.DataFrame(solver_data), ax)
# left of bar pair, the right one is similar
def draw_hist_query(df, ax):
count = []
for i in range(len(ticks)):
count.append(df[df < ticks[i]].count())
color = stat.colors[i]
if i == 0:
count[i].plot.bar(ax=ax, color=color, width=width, position=0)
else:
(count[i] - count[i - 1]).plot.bar(bottom=count[i - 1],
ax=ax, color=color, width=width, position=0)
你可以添加一些代碼?你使用子圖嗎?如果是這樣,那麼你可以用subplots_adjust調整它們http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure.subplots_adjust –
@ KacperWolkowski添加了一些代碼 –
我想你還需要顯示'hist_t_query'(in特別是你調用'dataframe.plot.bar'的部分),否則很難知道發生了什麼。 –