我正在嘗試制作一個(gè)所有四個(gè)面都有溫度標(biāo)簽的情節(jié)。我可以使用 twinx() 和 twiny() 獲得標(biāo)簽，但我無(wú)法弄清楚如何讓這些軸在縮放上相等（兩個(gè)比例上的一個(gè)單位相同，所以圖表將是長(zhǎng)方形）。import numpy as npimport matplotlib.pyplot as plt plt.style.use('classic')# Grid squares values:height = 21width = 31# Initialize matrix of zeros for that sizedata = np.zeros((height, width)) + 75# Make set temperatures on fixed positionsT_alpha = 0 # (bottom boundary temperature)T_bravo = 40 # (left boundary temperature)T_charlie = 100 # (top boundary temperature)T_delta = 100 # (right boundary temperature)# Note: index 0,0 is bottom leftfor i in range(width): data[0, i] = T_alpha data[(height - 1), i] = T_charliefor j in range(1, (height - 1)): data[j, 0] = T_bravo data[j, (width - 1)] = T_delta#print(data)heatmap = plt.pcolor(data)ax = plt.axes()ax.xaxis.set_ticks_position('none')ax.yaxis.set_ticks_position('none')ax.yaxis.set_major_locator(plt.NullLocator())ax.xaxis.set_major_formatter(plt.NullFormatter())ax.set_xlabel("T = " + str(T_alpha) + "\N{DEGREE SIGN}C")ax.set_ylabel("T = " + str(T_bravo) + "\N{DEGREE SIGN}C")ax2 = ax.twinx()ax2.yaxis.set_label_position('right')ax2.yaxis.set_ticks_position('none')ax2.yaxis.set_major_locator(plt.NullLocator())ax2.set_ylabel("T = " + str(T_delta) + "\N{DEGREE SIGN}C")ax3 = ax.twiny()ax3.xaxis.set_label_position('top')ax3.xaxis.set_ticks_position('none')ax3.xaxis.set_major_formatter(plt.NullFormatter())ax3.set_xlabel("T = " + str(T_charlie) + "\N{DEGREE SIGN}C")plt.xlim(0, width)plt.ylim(0, height)cbar = plt.colorbar(heatmap)cbar.set_label("Temperature (\N{DEGREE SIGN}C)")plt.clim(0, 100)plt.show()這是我正在尋找的縮放比例（但所有四個(gè)邊都標(biāo)記了）
1 回答
莫回?zé)o
TA貢獻(xiàn)1865條經(jīng)驗(yàn) 獲得超7個(gè)贊
感謝@ImportanceOfBeingErnest 使用text.
這是修復(fù)：
import numpy as np
import matplotlib.pyplot as plt
plt.axes().set_aspect('equal')
plt.style.use('classic')
# Grid squares values:
height = 21
width = 31
# Initialize matrix of zeros for that size
data = np.zeros((height, width)) + 75
# Make set temperatures on fixed positions
T_alpha = 0 # (bottom boundary temperature)
T_bravo = 40 # (left boundary temperature)
T_charlie = 100 # (top boundary temperature)
T_delta = 100 # (right boundary temperature)
# Note: index 0,0 is bottom left
for i in range(width):
data[0, i] = T_alpha
data[(height - 1), i] = T_charlie
for j in range(1, (height - 1)):
data[j, 0] = T_bravo
data[j, (width - 1)] = T_delta
#print(data)
heatmap = plt.pcolor(data)
plt.text(0.5, -0.02, "T = " + str(T_alpha) + "\N{DEGREE SIGN}C",
horizontalalignment='center',
verticalalignment='top',
rotation=0,
clip_on=False,
transform=plt.gca().transAxes)
plt.text(0, 0.5, "T = " + str(T_bravo) + "\N{DEGREE SIGN}C",
horizontalalignment='right',
verticalalignment='center',
rotation=90,
clip_on=False,
transform=plt.gca().transAxes)
plt.text(0.5, 1, "T = " + str(T_charlie) + "\N{DEGREE SIGN}C",
horizontalalignment='center',
verticalalignment='bottom',
rotation=0,
clip_on=False,
transform=plt.gca().transAxes)
plt.text(1, 0.5, "T = " + str(T_delta) + "\N{DEGREE SIGN}C",
horizontalalignment='left',
verticalalignment='center',
rotation=270,
clip_on=False,
transform=plt.gca().transAxes)
plt.axis("off")
plt.xlim(0, width)
plt.ylim(0, height)
cbar = plt.colorbar(heatmap)
cbar.set_label("Temperature (\N{DEGREE SIGN}C)")
plt.clim(0, 100)
plt.show()
這使
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