英文:
A way to prevent matplotlib to remove the numbers on the axis
问题
我正在绘制16个子图，每个子图中都有一个值，就像这样：
（第一个子图的示例）
fig, ax = plt.subplots(4, 4)
ax[0, 0].scatter(C_CH_metalicities, C_CH_X_over_Fe, color="gray", s=3) # 行=0，列=0（数百个值）
ax[0, 0].scatter(J072022_met, J072022_dict["C H"], marker="*", s=200) # （1个值）
在添加单个数据值之前，我的图看起来像这样：沿y轴的良好值
之后像这样：沿y轴不好的值
问题出在y轴上的值。我希望它保持在添加单个值之前的状态。
我尝试手动设置y轴刻度，例如：
ax[0, 0].set_yticks([-1, 0, 1, 2, 3])
但这只会在y值的位置显示“-”，而不显示数字。
我知道这是一个很无聊的问题，但这让我很烦恼。
英文:
I am plotting a sample in 16 subplots together with one value in each of the plots, like this:
(example of first subplot)
fig, ax = plt.subplots(4, 4)
ax[0, 0].scatter(C_CH_metalicities,C_CH_X_over_Fe, color = "gray", s = 3) #row=0, col=0 (100s of values)
ax[0,0].scatter(J072022_met,J072022_dict["C H"], marker = "*", s = 200) #(1 value)
Before the addition of the single data value, my plot looks like this:Nice values along the yaxis
And after like this:Not nice values along the yaxis
The problem is the values on the yaxis. I want it to remain the same as it was before I added the single value.
I tried manually setting the yticks like:
ax[0,0].set_yticks([-1,0,1,2,3])
But this only gives a "-" in the positions of the yvalues, but does not show the number.
I know this is a very boring question, but it is doing my head in.
答案1
得分: 0
ax.set_yticks()的第一个参数是刻度位置，但不是标签。你只需添加labels参数。
ax[0,0].set_yticks([-1,0,1,2,3], labels=[-1,0,1,2,3])
英文:
The first argument of ax.set_yticks() is where the tick locations are, but not how they are labeled. You just need to add in the labels parameter.
ax[0,0].set_yticks([-1,0,1,2,3], labels = [-1,0,1,2,3])
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