I already asked about labeling the axes and I have got the answer that satisfied me for the data that I had at that time. But now I'm trying plot the dataframe with kind=line to see better the evaluation of my values. so I'm using these pandas methods, that don't work in the same manner for kind=line as for kind=bar, and though don't provide the labels for axes. So my dataframe :
name Homework_note Class_note Behavior_note
Alice Ji 7 6 6
Eleonora LI 2 5 4
Mike The 6 5 3
Helen Wo 5 3 5
the script I use:
df=pd.read_csv(os.path.join(path,'class_notes.csv'), sep='\t|,', engine='python')
df.columns=['name', 'Homework_note', 'Class_note', 'Behavior_note']
ax=df.plot(kind='line', x='name', color=['red','blue', 'green'], figsize=(400,100))
ax.set_xlabel("Names", fontsize=56)
ax.set_ylabel("Notes", fontsize=56)
ax.set_title("Notes evaluation", fontsize=79)
plt.legend(loc=2,prop={'size':60})
plt.savefig(os.path.join(path,'notes_names.png'), bbox_inches='tight', dpi=100)
What else can I add to put labels on the axes (both x and y)? I prefer to stay with these pandas methods, cause I find them more comfortable to work with dataframes, but I haven't found the way to put the labels while using this type of plot line.
The labels will show up for a smaller figsize (in inches!). For the the legend, take a look here