使用matplotlib绘制单独的直方图

Question

我试图在一个单独的窗口中为每种聚合物长度绘制一个不同的柱状图

这就是我得到的结果-在一个窗口中，3个直方图相互重叠

import matplotlib.pyplot as plt
for polymer_length in polymer_lengths:
with open('radii_{0}d_N{1}_l{2}.txt'.format(int(dim), polymer_length, int(monomer_length))) as radii_file:
    radii_raw = radii_file.readlines()
    nice_radii = []
    for ele in radii_raw[1:]:
        nice_radii.append(float(ele))

plt.style.use('fivethirtyeight')

plt.hist(nice_radii, bins=25, rwidth=0.95)

plt.title('Histogram for Polymer length {} with monomer length {}, in {}D'.format(polymer_length, int(monomer_length), int(dim)))
plt.xlabel('Radius')
plt.ylabel('Number of Radii')

plt.tight_layout()

plt.show()

注:

• 这只是程序的一部分。我有不同的.txt文件，每个文件包含程序曾经计算过的每个半径。每个文件都需要通过聚合物参数来区分，因此需要单独的直方图

编辑：

多亏了tmdavison，我把代码改成了

plt.title('Histogram for Polymer length {} with monomer length {}, in {}D'.format(polymer_length, int(monomer_length), int(dim)))
plt.xlabel('Radius')
plt.ylabel('Number of Radii')

plt.tight_layout()
plt.figure()

现在，我确实得到了单独的直方图，但它绘制了一个额外的空图

Answer 1

感谢所有发表评论的人。答案是：

import matplotlib.pyplot as plt
for polymer_length in polymer_lengths:
with open('radii_{0}d_N{1}_l{2}.txt'.format(int(dim), polymer_length, int(monomer_length))) as radii_file:
    radii_raw = radii_file.readlines()
    nice_radii = []
    for ele in radii_raw[1:]:
        nice_radii.append(float(ele))

plt.style.use('fivethirtyeight')
plt.figure() #<   
plt.hist(nice_radii, bins=25, rwidth=0.95)

plt.title('Histogram for Polymer length {} with monomer length {}, in {}D'.format(polymer_length, int(monomer_length), int(dim)))
plt.xlabel('Radius')
plt.ylabel('Number of Radii')

plt.tight_layout()