I have a data set that looks similar to the below, but is much longer:
Sample Name Treatment Replicate Time Congener Concentration (ng/L)
0 Blank-1 Blank 1 0 PbTx-1 0
1 Ctrl-1 Ctrl 1 0 PbTx-1 8800
2 Ctrl-2 Ctrl 2 0 PbTx-1 7500
3 Ctrl-3 Ctrl 3 0 PbTx-1 9100
4 10ppm-1 10ppm 1 0 PbTx-1 9800
I am attempting to create a group (array?) of subplots that shows each time period in a different plot, comparing each treatment, with each congener represented, that has a single legend for the entire plot with 4 columns below the "treatment" x-label.
This link goes to the almost perfect graph, except all the legends are visible
This is the code I used to generate the nearly perfect graph, but with visible legends:
#Setting the variables outside of the actual arguments to improve readability
first_dimension = "Treatment"
second_dimension = "Concentration (ng/L)"
third_dimension = "Congener"
#Setting the y-axis limit for toxin
ylim_toxin = td['Concentration (ng/L)'].max() * 1.05
#This gets the total number of subplots
num_plots = len(treatments)
fig, axes = plt.subplots(ncols = num_plots, sharey=True, sharex=True, figsize = (5*num_plots,5))
#Removes the space between the plots, so they share an X and are lined up nicely by time the sample was taken
fig.subplots_adjust(hspace=0, wspace=0)
#Set overarching title based on previously input project name
fig.suptitle(f'{pdate}', fontweight='bold')
fig.supxlabel(f'Treatment')
#Create a bar plot of the data using seaborn, looping through the treatments list and each axis using count
count = 0
for ax in axes:
axes[count].set_title(f"T = {treatments[count]}")
treat = treatments[count]
tdtreat = td.loc[td['Time'] == treat]
sns.barplot(
x = first_dimension ,
y = second_dimension ,
hue = third_dimension ,
data = tdtreat ,
capsize = 0.05 ,
errwidth = '1' ,
errcolor = '0' ,
edgecolor="0" ,
errorbar = 'sd',
ax = ax)
count = count + 1
ax.set(xlabel=None)
ax.set(ylabel=None)
#Setting a y-label with supylabel created a y label that was far to the left, simply labelling the first y-axis
axes[0].set_ylabel("Concentration (ng/L)", fontsize = 12)
I managed to get the following graph, with the one legend moved to the bottom and stretched out perfectly into four columns, but the other legends are still visible:
Graph with one legend in correct location
I have attempted setting the legend equal to False to remove all legends, then add one back in, but it says " 'Rectangle' object has no property 'legend'":
sns.barplot(x = first_dimension ,
y = second_dimension ,
hue = third_dimension ,
data = tdtreat ,
capsize = 0.05 ,
errwidth = '1' ,
errcolor = '0' ,
edgecolor="0" ,
errorbar = 'sd',
ax = ax,
legend = False)
I have attempted adding "ax.legend_.set_visible(False)", but I get the error "'NoneType' object has no attribute 'set_visible'":
count = 0
for ax in axes:
axes[count].set_title(f"T = {treatments[count]}")
ax.legend_.set_visible(False)
treat = treatments[count]
tdtreat = td.loc[td['Time'] == treat]
sns.barplot(x = first_dimension ,
y = second_dimension ,
hue = third_dimension ,
data = tdtreat ,
capsize = 0.05 ,
errwidth = '1' ,
errcolor = '0' ,
edgecolor="0" ,
errorbar = 'sd',
ax = ax)
count = count + 1
ax.set(xlabel=None)
ax.set(ylabel=None)
I have tried updating the seaborn package, along with all other packages in the anaconda terminal, yet it still produces these errors.
As mentioned in this prior question on how to remove matplotlib legends, I attempted "ax.get_legend().remove()" and yet I got "'NoneType' object has no attribute 'remove'" as an error.
This question addressed the none type, "You have a variable that is equal to None and you're attempting to access an attribute of it called 'something'."
I'm not sure why the axis would be "None" when the axis appears to be there..
Thank you very much.
