Reputation: 13
I am fairly new to python and matplotlib. I have the following problem:
I want to plot six climatic drivers over 2000 years. Since each plot represents a different driver, I want to give each y-axis a different label, but am not able to index each subplot. Please see the following code and subsequent error message:
###Plot MET drivers
fig3 = plt.figure(figsize=(20, 14))
for ii, name_MET in enumerate (["Day_since_start_of_sim", "Min._Temp", "Max._Temp", "Radiation","CO2_(ppm)","DOY"]):
ax3 = fig3.add_subplot(2,3,ii+1)
ax3.plot(drivers,'g-',label='2001')
ax3.set_title(name_MET)
ax3.set_xlabel('years')
ax3[1].set_ylabel('Day_since_start_of_simulation')
ax3[2].set_ylabel('Degrees C')
ax3[3].set_ylabel('Degrees C')
ax3[4].set_ylabel('MJ m-2 d-1')
ax3[5].set_ylabel('ppm')
ax3[6].set_ylabel('Days')
ax3.set_xticks(incr_plot_years)
ax3.set_xticklabels((incr_plot_years/365).astype('S'), rotation = 45)
ax3.set_xlim(0,ax3.get_xlim()[1])
ax3.set_ylim(0,ax3.get_ylim()[1])
Error message:
287 ax3.set_title(name_MET)
288 ax3.set_xlabel('years')
--> 289 ax3[1].set_ylabel('Day_since_start_of_simulation')
290 ax3[2].set_ylabel('Degrees C')
291 ax3[3].set_ylabel('Degrees C')
TypeError: 'AxesSubplot' object does not support indexing
Can anyone help please how I get to name each y-axis individually? It would help me a lot!
Thank you,
Upvotes: 1
Views: 2108
Reputation: 8829
You're trying to index into ax3
, but ax3
represents one subplot, not the entire plot. Instead, you should label each y-axis on its corresponding loop iteration. Try this:
names_MET = ["Day_since_start_of_sim", "Min._Temp", "Max._Temp", "Radiation","CO2_(ppm)","DOY"]
ylabels = ['Day_since_start_of_simulation', 'Degrees C', 'Degrees C', 'MJ m-2 d-1', 'ppm', 'Days']
for ii, (name_MET, ylabel) in enumerate(zip(names_MET, ylabels)):
ax3 = fig3.add_subplot(2,3,ii+1)
ax3.plot(drivers,'g-',label='2001')
ax3.set_title(name_MET)
ax3.set_xlabel('years')
ax3.set_ylabel(ylabel)
ax3.set_xticks(incr_plot_years)
ax3.set_xticklabels((incr_plot_years/365).astype('S'), rotation = 45)
ax3.set_xlim(0,ax3.get_xlim()[1])
ax3.set_ylim(0,ax3.get_ylim()[1])
The important benefit here is that you get to provide custom labels for the y-axis, instead of having to use the values you defined in names_MET
. For instance, the units 'Degrees C'
instead of simply 'Min._Temp'
.
Upvotes: 1
Reputation: 339052
It seems you enumerate the list of names you want to have on the axes, so you can use the current name in each iteration like so:
fig3 = plt.figure(figsize=(20, 14)) names =["Day_since_start_of_sim", "Min._Temp", "Max._Temp", "Radiation","CO2_(ppm)","DAY"] for ii, name_MET in enumerate (names): ax3 = fig3.add_subplot(2,3,ii+1) ax3.plot(drivers[ii],'g-',label='2001')# - unclear what drivers is? ax3.set_title(name_MET) ax3.set_xlabel('years') ax3.set_ylabel(name_MET) ax3.set_xticks(incr_plot_years) # - unclear ax3.set_xticklabels((incr_plot_years/365).astype('S'), rotation = 45) ax3.set_xlim(0,ax3.get_xlim()[1]) ax3.set_ylim(0,ax3.get_ylim()[1])
Upvotes: 1