我试图绘制热图，平均值与x和y轴表示物理参数。

import csv
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np

#.......................................................................
# URL for temp.csv https://github.com/paragkan/dyanmic-recrystallization/blob/main/temp.csv
#.......................................................................
def read_csv(xfile):
    infile = open(xfile, 'r')
    table = []
    for row in csv.reader(infile):
        table.append(row)
    infile.close() # better leave that file alone.
    for c in range (0, len(table[0])):
        for r in range(0, len(table)):
            try:
                table[r][c] = float(table[r][c])
            except:
                pass
    return table
#.......................................................................

xfile = 'temp.csv'

table = read_csv(xfile)

x = []
y = []
z = []

for i in range(0, len(table)):
    x.append(int(1/table[i][0]))
    y.append(table[i][1])
    z.append(table[i][2])

extent = [min(x), max(x), min(y), max(y)]
d = stats.binned_statistic_2d(x, y, z, statistic='mean', bins = [5, 5])

fig, ax = plt.subplots()
extent = [min(x), max(x), min(y), max(y)]
# im = ax.imshow(d[0].T, cmap='RdBu_r',  interpolation='nearest', origin='lower', extent=extent)
im = ax.imshow(d[0].T, cmap='RdBu_r',  interpolation='nearest', origin='lower')

print(d[0])
print(d[1])
print(d[2])

# ax.set_xticks(d[1])
# ax.set_yticks(d[2])

cbar = ax.figure.colorbar(im, ax = ax, shrink = 1)
# average = d[0].T
# xdist = d[1]
# ydist = d[2]
# for i in range(0, len(d[1])-1):
#     for j in range(len(d[2])-1):
#         xcord = (xdist[j] + xdist[j+1])/2
#         ycord = (ydist[i] + ydist[i+1])/2
#         txtext = plt.text(xcord, ycord, round(average[i][j], 2),  fontsize = 12, ha="center", va="center", color="w")
plt.show()
plt.close()

打印输出

[[0.00658065 0.01352    0.03897    0.09360667 0.15375806]
 [       nan        nan        nan        nan        nan]
 [0.00704516 0.02388    0.11518667 0.37206333 0.69959677]
 [       nan        nan        nan        nan        nan]
 [0.00575484 0.01212    0.05937667 0.22448333 0.46173226]]
[ 923.   962.8 1002.6 1042.4 1082.2 1122. ]
[ 2.83236704  4.58410957  6.33585211  8.08759464  9.83933718 11.59107971]

不带extent

使用extent=extent

当我使用'范围'参数或自定义轴刻度使用set_xticks，Map是不正确显示。没有“extent”，一切都很好，但轴刻度索引为0，1，2，3。请帮我解决这个问题。如果有人建议另一个python软件包使用分组统计数据绘制热图也可以，我需要在手稿中使用保存的图形。

预期图

我需要的是，图中bin的边应该显示实际bin的尺寸。如果xedges = [900，925，975，..]，则x轴上的刻度应从900开始，并且下一个刻度应该在显示925的下一个bin边缘上。y轴也是如此。

temp.csv

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