我试图根据joe kington编写的代码绘制散点图矩阵：Is there a function to make scatterplot matrices in matplotlib?
有些人已经帮了我：再次感谢你（特别是J.K.）。
我有最后一个问题：我不能旋转某些轴重叠的数字（左下角）：
我想试着让它们垂直，但我做不到这是我的代码：
import itertools
import numpy as np
import pylab as plot
import scipy
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import axis
import math
from matplotlib import rc
import os
import platform
def main():
FigSize=8.89
FontSize=8
np.random.seed(1977)
numvars, numdata = 4, 10
data = 10 * np.random.random((numvars, numdata))
fig = scatterplot_matrix(data, ['mpg', 'disp', 'drat', 'wt'], FigSize, FontSize,
linestyle='none', marker='o', color='black', mfc='none', markersize=3,)
fig.suptitle('Simple Scatterplot Matrix')
plt.savefig('Plots/ScatterplotMatrix/ScatterplotMatrix2.pdf',format='pdf', dpi=1000, transparent=True, bbox_inches='tight')
plt.show()
def scatterplot_matrix(data, names, FigSize, FontSize, **kwargs):
"""Plots a scatterplot matrix of subplots. Each row of "data" is plotted
against other rows, resulting in a nrows by nrows grid of subplots with the
diagonal subplots labeled with "names". Additional keyword arguments are
passed on to matplotlib's "plot" command. Returns the matplotlib figure
object containg the subplot grid."""
legend=['(kPa)','\%','\%','\%']
numvars, numdata = data.shape
fig, axes = plt.subplots(nrows=numvars, ncols=numvars, figsize=(FigSize/2.54,FigSize/2.54))
fig.subplots_adjust(hspace=0.05, wspace=0.05)
sub_labelx_top=[2,4]
sub_labelx_bottom=[13,15]
sub_labely_left=[5,13]
sub_labely_right=[4,12]
for i, ax in enumerate(axes.flat, start=1):
# Hide all ticks and labels
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
ax.xaxis.set_major_locator(MaxNLocator(prune='both',nbins=4))
ax.yaxis.set_major_locator(MaxNLocator(prune='both',nbins=4)) #http://matplotlib.org/api/ticker_api.html#matplotlib.ticker.MaxNLocator
# Set up ticks only on one side for the "edge" subplots...
if ax.is_first_col():
ax.yaxis.set_ticks_position('left')
ax.tick_params(direction='out')
ax.yaxis.set_tick_params(labelsize=0.75*FontSize)
if i in sub_labely_left:
ax.yaxis.set_label_position('left')
ax.set_ylabel('(\%)',fontsize=0.75*FontSize)
if ax.is_last_col():
ax.yaxis.set_ticks_position('right')
ax.tick_params(direction='out')
ax.yaxis.set_tick_params(labelsize=0.75*FontSize)
if i in sub_labely_right:
ax.yaxis.set_label_position('right')
if i==4:
ax.set_ylabel('(kPa)',fontsize=0.75*FontSize)
else:
ax.set_ylabel('(\%)',fontsize=0.75*FontSize)
if ax.is_first_row():
ax.xaxis.set_ticks_position('top')
ax.tick_params(direction='out')
ax.xaxis.set_tick_params(labelsize=0.75*FontSize)
if i in sub_labelx_top:
ax.xaxis.set_label_position('top')
ax.set_xlabel('(\%)',fontsize=0.75*FontSize)
if ax.is_last_row():
ax.xaxis.set_ticks_position('bottom')
ax.tick_params(direction='out')
ax.xaxis.set_tick_params(labelsize=0.75*FontSize)
if i in sub_labelx_bottom:
ax.xaxis.set_label_position('bottom')
if i==13:
ax.set_xlabel('(kPa)',fontsize=0.75*FontSize)
else:
ax.set_xlabel('(\%)',fontsize=0.75*FontSize)
# Plot the data.
for i, j in zip(*np.triu_indices_from(axes, k=1)):
for x, y in [(i,j), (j,i)]:
axes[x,y].plot(data[y], data[x], **kwargs)
# Label the diagonal subplots...
for i, label in enumerate(names):
axes[i,i].annotate(label, (0.5, 0.5), xycoords='axes fraction',
ha='center', va='center',fontsize=FontSize)
# Turn on the proper x or y axes ticks.
for i, j in zip(range(numvars), itertools.cycle((-1, 0))):
axes[j,i].xaxis.set_visible(True)
axes[i,j].yaxis.set_visible(True)
return fig
main()
我的第二个问题更多的是为了“乐趣”：我如何才能使子块完美的正方形？
我向乔·金顿道歉；我知道我的代码远不如他的优雅……我几周前才开始。如果你有任何改进我的建议，例如使它更具活力，我很感兴趣。
最佳答案
您可以使用xtick旋转setp标签。
from matplotlib.artist import setp
然后在为子批次调用的顶行和左列设置X刻度位置之后：
setp(ax.get_xticklabels(), rotation=90)
要使子块的大小相等，可以将所有子块的面积设置为正方形。像这样的：
gridSize = 0.6
leftBound = 0.5 - gridSize/2
bottomBound = 0.1
rightBound = leftBound + gridSize
topBound = bottomBound + gridSize
fig.subplots_adjust(hspace=0.05, wspace=0.05, left=leftBound,
bottom=bottomBound, right=rightBound, top=topBound)
如果图形大小不是正方形，则需要相应地更改网格的形状或者，可以使用
fig.subplots_adjust分别添加每个子块轴。这将允许您直接设置大小，但您也必须设置位置。不要使用
fig.add_axes来保存图形，否则您将丢失这些设置的标题。您可以这样保存：plt.savefig('ScatterplotMatrix.pdf',format='pdf', dpi=1000, transparent=True)
结果图如下所示：