Seaborn：如何在热图中设置 x 轴的最小值和最大值

Question

this is the code to build my colormap

import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import StrMethodFormatter
import seaborn as sns
import pandas as pd
sns.set(font_scale=5.0, rc={'text.usetex' : True})
sns.set(rc={'figure.figsize':(10.5,9.)})
font = {'family' : 'normal',
        'weight' : 'bold',
        'size'   : 22}

matplotlib.rc('font', **font)

colormap = pd.read_csv('m_colormap_5.csv')
print(colormap.info())

colormapBetaAlpha = colormap[['dihedral', 'scaled_momentum', 'mBetaAlpha']].pivot(index = 'dihedral', columns = 'scaled_momentum', values = 'mBetaAlpha')
colormapBetaAlpha.to_csv('pivot_table_beta_alpha.csv')
g = sns.heatmap(colormapBetaAlpha, xticklabels = 20, yticklabels= 20, cbar_kws={'label': r'$\log(m/$ps$^{-2})$'})
xlabels = ['{:,.2f}'.format(float(x.get_text())) for x in g.get_xticklabels()]
xlabels = ["$" + x + "$" for x in xlabels]


ylabels = ['{:,.2f}'.format(float(x.get_text())) for x in g.get_yticklabels()]
ylabels = ["$" + x + "$" for x in ylabels]
# Setting the font on the colorbar label
g.figure.axes[-1].yaxis.label.set_size(14)

# Setting the font on the colormap ticks
cmap_labels = [x.get_text() for x in g.figure.axes[-1].get_yticklabels()]
g.figure.axes[-1].set_yticklabels(cmap_labels, fontsize = 14)
g.set_xticklabels(xlabels, fontsize = 14)
g.set_yticklabels(ylabels, fontsize = 14)
plt.xlabel(r'$p_{\varphi}/ \sqrt{k_B T g^\prime}$', fontsize = 14)
plt.ylabel(r"$\varphi$", fontsize = 14)
plt.savefig("mDownToUp_height_5.png")
plt.show()

The result is nice but I would like the x axis range from -10.0 to 10.0. I have tried many things from matplotlib, like "plt.xlim(-10.0, 10.0)" but it does not work properly. Also I have tried to write down an hard coded list to pass to the xlabel, but the result is quite ugly. How can I do it? Thank you.

Answer 1

Maybe you can try xticklabels = 21 ?

-10 to 10 with 0 in the middle adds to 21 ticks.

I am assuming your data goes to +10 as it seems to from the plot. Uploading the input file with the data would help.

Answer 2

For example, if the code

plt.ylim(-10, 10) is used the map is deeply alter as reported [![enter image description here][1]][1] [1]: https://i.stack.imgur.com/zusLA.png