该问题的各种变体已经得到了回答,但在我的情况下,没有任何答案有效。我能得到的最好的是一个空白的pdf表格或一个损坏的文件。
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import numpy as np
def getdata():
return np.random.uniform(0,1,10)
fig, axe = plt.subplots(5, 2)
row=[0,0,1,1,2,2,3,3,4,4]
col=[0,1,0,1,0,1,0,1,0,1]
for im in range(10):
r=row[im]
c=col[im]
axe[r][c].scatter(getdata(), getdata())
plt.show()
# trial 1 -> generates a blank page
plt.savefig('figure1.pdf')
# trial 2 -> generates a corrupted pdf file
pdf=PdfPages('figure2.pdf')
pdf.savefig(plt.gcf())
答案 0 :(得分:2)
删除plt.show()
,因为它也可以清除数字。
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
def getdata():
return np.random.uniform(0,1,10)
fig, axe = plt.subplots(5, 2)
row=[0,0,1,1,2,2,3,3,4,4]
col=[0,1,0,1,0,1,0,1,0,1]
for im in range(10):
r=row[im]
c=col[im]
axe[r][c].scatter(getdata(), getdata())
# trial 1 -> tried and it works, no need for trial 2
plt.savefig('figure1.pdf')
答案 1 :(得分:0)
这对我有用
def binarysearch(A, v, x, y):
found = True
while found:
if x < y:
h = (x+y) //2
if A[h] < v:
x = h+1 // replaced
else:
y = h // replaced
elif A[x] == v:
found = False
print("Element you are looking for is at index {}".format(x))
else:
found = False
print("Value is not in array")