是否可以将数据共享图像添加到一组matplotlib子图中?
作为一个具体的例子,
import numpy as np
import pandas as pd
import matplotlib.pylab as plt
import datashader as ds
import datashader.transfer_functions as tf
from datashader.utils import export_image
from functools import partial
background = "white"
export = partial(export_image, background = background, export_path="export")
N = 10000
df = pd.DataFrame(np.random.random((N, 3)), columns = ['x','y', 'z'])
f, ax = plt.subplots(2, 2)
ax_r = ax.ravel()
ax_r[0].scatter(df['x'], df['y'], df['z'].mean())
ax_r[1].hist(df['x'])
ax_r[2].hist(df['y'])
ax_r[3].plot(df['z'])
cvs = ds.Canvas(plot_width=100, plot_height=100)
agg = cvs.points(df, 'x', 'y', ds.mean('z'))
a = export(tf.shade(agg, cmap=['lightblue', 'darkblue'], how='eq_hist'), 'test')
我有一个二乘二的matplotlib子图阵列,并希望用数据分析器图像ax_r[0]
替换上例中的[0,0]图a
。这是可能的,如果是的话,怎么样?
谢谢!
答案 0 :(得分:4)
截至目前[2017年5月],将数据共享图像添加到matplotlib子图中的最佳方法是使用上面链接的pull request。它定义了一个DSArtist
类。假设存在DSArtist
类,代码如下:
N = 10000
df = pd.DataFrame(np.random.random((N, 3)), columns = ['x','y', 'z'])
f, ax = plt.subplots(2, 2)
ax_r = ax.ravel()
da = DSArtist(ax_r[0], df, 'x', 'y', ds.mean('z'), norm = mcolors.LogNorm())
ax_r[0].add_artist(da)
ax_r[1].hist(df['x'])
ax_r[2].hist(df['y'])
ax_r[3].plot(df['z'])
plt.tight_layout()
plt.show()