我有這個代碼,我可以控制以下屬性：x軸范圍,標題,xlabel,ylabel,圖例,網格,x標簽上文字的旋轉：

#!/usr/bin/python

import datetime

import numpy as np

import matplotlib

import matplotlib.pyplot as plt

from matplotlib.widgets import Slider

from matplotlib.dates import DateFormatter

############################################

# generate data

x = np.arange(0,10)

y0 = np.arange(0,10)

y1 = np.random.rand(10)

y2 = np.random.rand(10)

############################################

# initialize (sub)plot(s)

fig, ax = plt.subplots()

############################################

# width of x axis

x_min_index = 0

x_max_index = 3

x_min = x[x_min_index]

x_max = x[x_max_index]

############################################

# create (sub)plot

l, = plt.plot(x,y0, label="plot1a")

l, = plt.plot(x,y1, label="plot1b")

l, = plt.plot(x,y2, label="plot1c")

# (sub)plot - set values

plt.title("plot1")

plt.xlabel('xlabel')

plt.ylabel('ylabel')

plt.legend()

plt.grid()

############################################

# apply for all (sub)plot(s)

plt.subplots_adjust(bottom=0.25)

############################################

# (sub)plot - get values

# plt.axis(x_min, x_max, y_min, y_max)

y_min = plt.axis()[2]

y_max = plt.axis()[3]

print y_min

print y_max

############################################

# (sub)plot - set values

# change only x values

# y values are set to same value

# plt.axis([x_min, x_max, y_min, y_max])

# (sub)plot - set values

# change only x values

plt.xlim(x_min, x_max)

############################################

# (sub)plot - get values

locs, labels = plt.xticks()

print locs

print labels

############################################

# (sub)plot - set values

plt.setp(labels, rotation=45)

plt.show()

此代碼返回此圖：

我希望能夠控制所有這些屬性,但創建多個子圖,我的嘗試是在這里：

#!/usr/bin/python

import datetime

import numpy as np

import matplotlib

import matplotlib.pyplot as plt

from matplotlib.widgets import Slider

from matplotlib.dates import DateFormatter

############################################

# generate data

x = np.arange(0,10)

y0 = np.arange(0,10)

y1 = np.random.rand(10)

y2 = np.random.rand(10)

############################################

# initialize (sub)plot(s)

fig, axarr = plt.subplots(2)

# https://stackoverflow.com/questions/6541123/improve-subplot-size-spacing-with-many-subplots-in-matplotlib

fig.tight_layout()

############################################

# width of x axis

x_min_index = 0

x_max_index = 3

x_min = x[x_min_index]

x_max = x[x_max_index]

############################################

# 1st (sub)plot

line0 = axarr[0].plot(x,y1, label="plot1a")

line0 = axarr[0].plot(x,y2, label="plot1b")

line0 = axarr[0].legend()

line0 = axarr[0].set_title('plot1')

line0 = axarr[0].set_xlabel('xlabel1')

line0 = axarr[0].set_ylabel('ylabel1')

line0 = axarr[0].grid()

############################################

# 2st (sub)plot

line1 = axarr[1].plot(x,y0, label="plot2", color="red")

line1 = axarr[1].legend()

line1 = axarr[1].set_title('plot2')

line1 = axarr[1].set_xlabel('xlabel2')

line1 = axarr[1].set_ylabel('ylabel2')

line1 = axarr[1].grid()

############################################

# apply for all (sub)plot(s)

plt.subplots_adjust(bottom=0.25)

############################################

# OLD CODE

# (sub)plot - get values

# plt.axis(x_min, x_max, y_min, y_max)

# y_min = plt.axis()[2]

# y_max = plt.axis()[3]

# print y_min

# print y_max

# NEW ALTERNATIVE

l0_x_min, l0_x_max = axarr[0].get_xlim()

l0_y_min, l0_y_max = axarr[0].get_ylim()

l1_x_min, l1_x_max = axarr[1].get_xlim()

l1_y_min, l1_y_max = axarr[1].get_ylim()

print l0_x_min

print l0_x_max

print l0_y_min

print l0_y_max

print l1_x_min

print l1_x_max

print l1_y_min

print l1_y_max

############################################

# OLD CODE

# (sub)plot - set values

# change only x values

# y values are set to same value

# plt.axis([x_min, x_max, y_min, y_max])

# (sub)plot - set values

# change only x values

# plt.xlim(x_min, x_max)

# NEW ALTERNATIVE

axarr[0].set_xlim(x_min, x_max)

############################################

# OLD CODE

# (sub)plot - get values

# locs, labels = plt.xticks()

# print locs

# print labels

# NEW ALTERNATIVE

line0_xticks = axarr[0].get_xticks()

line0_labels = axarr[0].get_xticklabels()

print line0_xticks

print line0_labels

line1_xticks = axarr[1].get_xticks()

line1_labels = axarr[1].get_xticklabels()

print line1_xticks

print line1_labels

############################################

# OLD CODE

# (sub)plot - set values

# plt.setp(labels, rotation=45)

# NEW ALTERNATIVE

############################################

plt.show()

此代碼返回此圖：

此代碼有一個限制,因為我無法在x軸上設置標簽的旋轉.我找不到適當的子圖的方法來做到這一點.到目前為止,我已經找到了以下相互對應的方法：

PLOT SUBPLOTS

plt.axis() axarr[0].get_xlim(), axarr[0].get_ylim()

plt.axis([x_min, x_max, y_min, y_max]) axarr[0].set_xlim(x_min, x_max), axarr[0].set_ylim(y_min, y_max)

plt.xlim(x_min, x_max) axarr[0].set_xlim(x_min, x_max)

plt.xticks() axarr[0].get_xticks(), axarr[0].get_xticklabels()

plt.setp(labels, rotation=45) ???

plt.title("plot1") axarr[0].set_title('plot1')

plt.grid() axarr[0].grid()

plt.legend() axarr[0].legend()

plt.xlabel('xlabel') axarr[0].set_xlabel('xlabel')

plt.ylabel('xlabel') axarr[0].set_ylabel('xlabel')

plt.plot(x,y, label="plot") axarr[0].plot(x,y, label="plot")

問題：

>是否存在類似的表,但是對于繪圖和子圖之間的所有相應方法？

>可能更多的哲學問題;為什么兩種不同的命名慣例？

>我通過運行ipdb下的代碼,點擊選項卡,并記下熟悉的方法名稱,將此表創建為試錯.有沒有更好的辦法？我可以想象一些可以比較方法返回類型,參數等的東西.

>如何從另一個方法中找到任何方法的替代方法？

>最后,如何在子圖下旋轉x標簽？

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