Modify output of pandas day_name() function

I have a data frame with df name :

>>> df.head()

	InvoiceNumber	ProductCode	InvoiceDate	UnitPrice	CustomerId	Country
0	489434	85048	2009-12-01 07:45:00	6.95	13085	United Kingdom
1	489434	79323P	2009-12-01 07:45:00	6.75	13085	United Kingdom
2	489434	79323W	2009-12-01 07:45:00	6.75	13085	United Kingdom
3	489434	22041	2009-12-01 07:45:00	2.1	13085	United Kingdom
4	489434	21232	2009-12-01 07:45:00	1.25	13085	United Kingdom

I want a bar plot of my data frame based on number of sold product in each day of week, like this :

I’m use this code :

fig1 ,ax1 = plt.subplots(figsize=(15, 6))
df["dayName"] = pd.to_datetime(df["InvoiceDate"]).dt.day_name()
df.groupby("dayName").size().plot(ax=ax1, kind="bar", color="lime");

and i get this plot :

I’m have 2 problem :
1- name of days is not short (Monday : Mon)
2- weekdays are not ordered
Any body can help me to solve this problems ?
Thanks

Answer

One solution can be, Use of pandas.Series.dt.dayofweek(The day of the week Monday=0, Sunday=6.) Then use .set_xticklabels to assign the name of day week to the number.

df["dayName"] = pd.to_datetime(df["InvoiceDate"]).dt.dayofweek
df.groupby("dayName").size().plot(ax=ax1, kind="bar", color="lime");
ax1.set_xticklabels( ('Mon', 'Tue','Wed', 'Thur', 'Fri', 'Sat', 'Sun') )

Output: (Generate from random input)

[Text(0, 0, 'Mon'),
 Text(1, 0, 'Tue'),
 Text(2, 0, 'Wed'),
 Text(3, 0, 'Thur'),
 Text(4, 0, 'Fri'),
 Text(5, 0, 'Sat'),
 Text(6, 0, 'Sun')]