We Keep Coding

matplotlib.pyplot y ticks same location for all plots

I need two axes in one plot with the same grid and fixed values for the ticks.
This works fine for some plots. enter image description here
But sometimes the last tick on the top is not located at the end of the axis and now i have two grids in my plot.
enter image description here
How i can set up the last tick for every plot at the end of the axis?

Plot two datasets at same position based on their index

I'm trying to plot two datasets (called Height and Temperature) on different y axes.
Both datasets have the same length.
Both datasets are linked together by a third dataset, RH.
I have tried to use matplotlib to plot the data using twiny() but I am struggling to align both datasets together on the same plot.
Here is the plot I want to align.
The horizontal black line on the figure is defined as the 0°C degree line that was found from Height and was used to test if both datasets, when plotted, would be aligned. They do not. There is a noticable difference between the black line and the 0°C tick from Temperature.
Rather than the two y axes changing independently from each other I would like to plot each index from Height and Temperature at the same y position on the plot.
Here is the code that I used to create the plot:
#Define number of subplots sharing y axis
f, ax1 = plt.subplots()
ax1.minorticks_on()
ax1.grid(which='major',axis='both',c='grey')
#Set axis parameters
ax1.set_ylabel('Height $(km)$')
ax1.set_ylim([np.nanmin(Height), np.nanmax(Height)])
#Plot RH
ax1.plot(RH, Height, label='Original', lw=0.5)
ax1.set_xlabel('RH $(\%)$')
ax2 = ax1.twinx()
ax2.plot(RH, Temperature, label='Original', lw=0.5, c='black')
ax2.set_ylabel('Temperature ($^\circ$C)')
ax2.set_ylim([np.nanmin(Temperature), np.nanmax(Temperature)])
Any help on this would be amazing. Thanks.

Maybe the atmosphere is wrong. :)
It sounds like you are trying to align the two y axes at particular values. Why are you doing this? The relationship of Height vs. Temperature is non-linear, so I think you are setting the stage for a confusing graph. Any particular line you plot can only be interpreted against one vertical axis.
If needed, I think you will be forced to "do some math" on the limits of the y axes. This link may be helpful:
align scales

Multi horizontal barplots in one plot

Does anybody whether its possible to get multiple horizontal bar plots in one plot. Say I have two horizontal bars plots (attached) which both use the same y-axis data. But their x-value data differs. Can I get these two plots in one plot?
I have attached my bar plots and code that i use to plot
Plot the first hbar
plt.barh(index,b1_plt,color = 'K')
plt.barh(index,b2_plt,color = 'K')
plt.xlabel('Width')
plt.ylabel('layer nr')
plt.title('Section outline')
Plot the second hbar
plt.barh(index,micro_xmi_all)
plt.xlabel('Micro strain')
plt.ylabel('layer nr')
plt.title('Strain diagram')
The list micro_xmi_all have different range than b1_plt or b2_plt

matplotlib: ylabels of subplots overlapping

I have three subplots sharing x-axis. I need hspace between subplots to be 0.0, but then y-labels of subplots overlap.
ylabels of subplots overlap
Is there any way to move extreme y-labels of each subplot a little bit downwards or upwards (as I did manually in mspaint, on the right)?
Piotr

There is a dedicated ticker formater class exactly for this purpose.
http://matplotlib.org/api/ticker_api.html#matplotlib.ticker.MaxNLocator
from matplotlib.ticker import MaxNLocator
ax2.yaxis.set_major_locator(MaxNLocator(prune='upper')) #remove highest label so it wont overlapp with stacked plot.
Edit:
Actually this wont move them, just remove the overlapping ticks.

autofmt_xdate deletes x-axis labels of all subplots

I use autofmt_xdate to plot long x-axis labels in a readable way. The problem is, when I want to combine different subplots, the x-axis labeling of the other subplots disappears, which I do not appreciate for the leftmost subplot in the figure below (two rows high). Is there a way to prevent autofmt_xdate from quenching the other x-axis labels? Or is there another way to rotate the labels? As you can see I experimented with xticks and "rotate" as well, but the results were not satisfying because the labels were rotated around their center, which resulted in messy labeling.
Script that produces plot below:
from matplotlib import pyplot as plt
from numpy import arange
import numpy
from matplotlib import rc
rc("figure",figsize=(15,10))
#rc('figure.subplot',bottom=0.1,hspace=0.1)
rc("legend",fontsize=16)
fig = plt.figure()
Test_Data = numpy.random.normal(size=20)
fig = plt.figure()
Dimension = (2,3)
plt.subplot2grid(Dimension, (0,0),rowspan=2)
plt.plot(Test_Data)
plt.subplot2grid(Dimension, (0,1),colspan=2)
for i,j in zip(Test_Data,arange(len(Test_Data))):
plt.bar(i,j)
plt.legend(arange(len(Test_Data)))
plt.subplot2grid(Dimension, (1,1),colspan=2)
xticks = [r"%s (%i)" % (a,b) for a,b in zip(Test_Data,Test_Data)]
plt.xticks(arange(len(Test_Data)),xticks)
fig.autofmt_xdate()
plt.ylabel(r'$Some Latex Formula/Divided by some Latex Formula$',fontsize=14)
plt.plot(Test_Data)
#plt.setp(plt.xticks()[1],rotation=30)
plt.tight_layout()
#plt.show()

This is actually a feature of the autofmt_xdate method. From the documentation of the autofmt_xdate method:
Date ticklabels often overlap, so it is useful to rotate them and right align them. Also, a common use case is a number of subplots with shared xaxes where the x-axis is date data. The ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn off xlabels.
If you want to rotate the xticklabels of the bottom right subplot only, use
plt.setp(plt.xticks()[1], rotation=30, ha='right') # ha is the same as horizontalalignment
This rotates the ticklabels 30 degrees and right aligns them (same result as when using autofmt_xdate) for the bottom right subplot, leaving the two other subplots unchanged.