This is the code that generates the graph so far: #Graph: numerical calculations y1,yerr1 = msc['mean'].to_numpy(),msc['sem'].to_numpy() x1=np.arange(len(y1)) #count the number of values in y that are not zero which will form the number of x-positions
#Graph: Create
fig, ax = plt.subplots(1,1, figsize = (4,6))
ax.bar(x1, y1, color="#00004d",width=0.3, align='center')
ax.errorbar(x1, y1, yerr=yerr1,fmt=' ', capsize=(3),zorder=0, ecolor='k')
ax.spines['right'].set_visible(False), ax.spines['top'].set_visible(False)
ax.set_xticks(x1)
ax.set_xticklabels(u1), ax.set_ylabel(para.replace('_',' ')+'(g)'),ax.set_title(title) #labels
ax.set_ylim(top=ymax)
ax.yaxis.set_major_formatter(FormatStrFormatter('%.1f')) #sets decimal places
ax.locator_params(axis='y', nbins=5) #set the maximum number of ticks on the y-axis
#save and export graph prior to significance line
fig.savefig(para+"_JR.png",dpi=300)
And it produces this graph:
I've tried the following:
- I've played around with the width and the large gap between the bars occurs the lower the width value is in line 2 of the code. If I increase the width size, then i'll get extremely thick bars but I would prefer to have thin bars in a graph.
- I have also tried setting the figure size but then it cuts off parts of the ylabel when exporting as a png.
- I have also tried removing the annotation and title of the graph but these had no effect.
- I have looked into this question: stackoverflow.com/q/63209867/7758804 but it the code doesn't work for matplotlib.axes
I'm not sure what else to try to reduce the gap?