Matplotlib tight_layout 设置矩形元组

Question

I have created the following code, which prints a plot and formats the axis labels and ticks in a way that is useful to me. I have a problem with tight_layout, which leaves my vertically rotated x-axis tick labels as well as the x-axis label outside the figure window.

To try and solve the problem, what I did was to manually rescale the plot window, and set the rect tuple manually from the figure window. After some tries, I found that the optimal values for (left, bottom, right, top) in my case were [0.163, 0.391, 0.905, 0.977]. Next, I thought I should incorporate that to my code, so that my plots emerge with correct sizing in the first place: To that end, I used the command:

fig.tight_layout(rect=[0.163, 0.391, 0.905, 0.977])

However, it did not work, and the figure emerges with different rect values than the ones I set.

Question 1: How can I set the rect values from my code, rather than setting them manually?

Question 2: Is there a better/easier alternative to achieve the desired functionality?

# dt_objects is a list of datetime objects. My x-axis is timestamps
# for y_axis, set any series. The code will set the y axis based on the min,max value of y-values

matdates=date2num(dt_objects)
x_axis=matdates

fig,ax = plt.subplots()
ax.plot_date(x_axis,y_axis,markersize=8)
ax.axhline(y=y_axis.mean(),linestyle='--',color='red',alpha=0.5)

ax.xaxis.set_major_locator(AutoDateLocator(minticks=1, maxticks=5))         #Set position of Major X ticks
ax.xaxis.set_minor_locator(AutoDateLocator(minticks=10, maxticks=30))       #Set position of Minor X ticks
ax.xaxis.set_major_formatter( DateFormatter('%Y/%m/%d-%H:%M:%S'))           #Set format of Major X ticks
ax.xaxis.set_minor_formatter( DateFormatter('%H:%M:%S'))                    #Set format of X ticks
ax.tick_params(axis='x',which='major',rotation=90,labelsize=14)                          #Set parameters of Major X ticks    
ax.tick_params(axis='x',which='minor',rotation=80,labelsize=12)                          #Set parameters of Major X ticks      
plt.setp(ax.get_xticklabels(), fontsize=14, fontweight="bold")              #Set font of Major X ticks  

ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))                    #Set format of Major Y ticks
ax.tick_params(axis='y',which='major',labelsize=14)
calculateYpadding=(y_axis.max()-y_axis.min())*0.1                           # Padding is 10% of the max difference in y values :)
ax.set_ylim(round(y_axis.min(),2)-calculateYpadding, round(y_axis.max(),2)+calculateYpadding)         #Set boundaries of Y axis
ax.yaxis.set_major_locator(MaxNLocator(nbins = 'auto',min_n_ticks = 5)) 
plt.grid()

ax.set_xlabel("Time",style='italic',fontsize=14)
ax.xaxis.set_label_coords(1.08, -0.1)

ax.set_ylabel(str(MeasurementType),labelpad=10,style='italic', fontsize=14)
#ax.yaxis.set_label_coords(-0.1, 0.5)
#plt.xlabel("Time",horizontalalignment='right', position=(1,60))\
    
#ax.set_title(str(MeasurementType),fontweight="bold", pad=20,fontsize=20)
rstButton.config(state=tk.NORMAL)
fig.tight_layout(rect=[0.163, 0.391, 0.905, 0.977])
plt.show()

EDIT: Since I was told my question is not clear, I am including two screenshots to better explain the problem. Here is the result of the above-mentioned code. Also, on the bottom left, you can see on the window that top, bottom, left, right have different values than the ones set at rect tuple in my code.

My desired output is this:

It is achieved by manually tweaking the parameters of the figure, until it reaches a point that is satisfactory. It is from here that i extracted the values and placed them in the rect tuple, but it did not work. Hopefully it is clearer now what I want to achieve, and what the problem is.

EDIT 2: Here are the results of the suggested solution

fig,ax = plt.subplots(constrained_layout=True)

As you can see, the labels of both axles are not correctly placed.

Answer 1

Try:

fig, ax = plt.subplots(constrained_layout=True)