In this lollipop / stem plot showing an index value for two categories (left/right) per participant, the x labels are unequally distributed in relation to the x-ticks after rotating the labels:
Before rotating:
x-labels are not legible but centered around the x-tick
After rotating:
x-labels are legible but the first 7 labels are centered slightly right from the x-tick, whereas the last 16 labels are centered slightly left from the tick
Without line: plt.xticks(rotation = 'vertical', ha = 'right', rotation_mode='anchor')
The data:
df_LR = pd.read_csv("Index_for_stats_LeftRight_merge.csv")
pandas dataframe with separate columns for left and right
The plot:
Inspired by code from https://www.python-graph-gallery.com/184-lollipop-plot-with-2-groups. It creates the lollipop plot by combing plt.vlines and plt.scatter.
f, ax = plt.subplots(figsize=(10, 6))
# Reorder dataframe following the values of the first value:
df_LR = df_LR.sort_values(by='index_right')
my_range=range(1,len(df_LR.index)+1)
# The vertical plot is made using the vline function
plt.vlines(x=my_range, ymin=df_LR['index_left'], ymax=df_LR['index_right'], color='grey', alpha=0.4)
plt.scatter(my_range, df_LR['index_left'], color='#E68900', alpha=1, label='left')
plt.scatter(my_range, df_LR['index_right'], color='seagreen', alpha=1, label='right')
plt.legend()
# Add title and axis names
plt.xticks(rotation = 'vertical', ha = 'right', rotation_mode='anchor')
plt.xticks(my_range, df_LR['subject ID'])
plt.title("Index: left-right differences per participant", loc='left')
plt.ylabel('Index')
plt.xlabel('')
# Show graph
plt.show()
I tried adjusting the xticks line specifying rotation (swap 'vertical' for a float, swap ha = 'right' for 'left') but these changes are then only visible in the first 7 subjects displayed on the x-axis. It is as if something gets disrupted from sub-11 onwards.
Any ideas on how to solve this would be greatly appreciated!
