Wrong monthly lineplot using seaborn, pandas and datetime

Question

I am trying to create the following diagram, but with the written months as xticks instead of the integer:

My code currently looks like this:

plt.figure(figsize=(10,5))
sns.lineplot(x="Month",y="DHN",data = df.head(1100),color="BLACK")
sns.lineplot(x="Month",y="Heat Loss",data = df.head(1100),color ="RED")

Which results in:

Obviously, multiple things are wrong with this diagram. The Diagram x axis should start with January, the values inside the dataframe are getting stacked for the months (?) and the scale for df.head(1100) should not inclued months like december or september.

The first lines of the Dataframe look like this:

with Date as datetime.

What am I missing that it's not working out the way I want it to?

Answer 1

Convert Month column to ordered categorical s for correct ordering values in axis x in ploting:

cats = ['Jan', 'Feb', 'Mar', 'Apr','May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
df['Month'] = pd.Categorical(df['Month'], ordered=True, categories=cats)

plt.figure(figsize=(10,5))
sns.lineplot(x="Month",y="DHN",data = df.head(1100),color="BLACK")
sns.lineplot(x="Month",y="Heat Loss",data = df.head(1100),color ="RED")

Sample :

np.random.seed(123)

def random_dates(start, end, n=100):

    start_u = start.value//10**9
    end_u = end.value//10**9

    return pd.to_datetime(np.random.randint(start_u, end_u, n), unit='s')

start = pd.to_datetime('2015-01-01')
end = pd.to_datetime('2017-01-20')
df = pd.DataFrame({'Date':random_dates(start, end),
                   'DHN':np.random.randint(500, size=100),
                   'Heat Loss':np.random.randint(50, size=100)})
df['Month'] = df['Date'].dt.strftime('%b')
df = df.sort_values('Date')
print (df.head())

                  Date  DHN  Heat Loss Month
55 2015-01-07 20:29:22  296         23   Jan
29 2015-01-08 13:49:04  486         18   Jan
36 2015-01-15 23:32:55  294          9   Jan
59 2015-01-19 10:33:39  256          5   Jan
72 2015-01-19 19:48:43  254          3   Jan

---

cats = ['Jan', 'Feb', 'Mar', 'Apr','May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
df['Month'] = pd.Categorical(df['Month'], ordered=True, categories=cats)

plt.figure(figsize=(10,5))
sns.lineplot(x="Month",y="DHN",data = df.head(1100),color="BLACK")
sns.lineplot(x="Month",y="Heat Loss",data = df.head(1100),color ="RED")