[FIXED] How to plot a time series graph using seaborn or plotly?

Issue

I have a time series data as follows:

Datum   Menge
1/1/2018 0:00   19.5
1/1/2018 0:15   19.0
1/1/2018 0:30   19.5
1/1/2018 0:45   19.5
1/1/2018 1:00   21.0
1/1/2018 1:15   19.5
1/1/2018 1:30   20.0
1/1/2018 1:45   23.0

and the dataframe data has a shape of (14880, 2). In the Menge column, there are only 11807 values available and the rest are nan

I am trying to plot it as follows:

data.plot()
plt.show()

and this gives me

But I want to plot the same using seaborn or plotly

for seaborn I have tried:

x = data.Datum
y = data.Menge.values
sns.lineplot(x = x, y = y, data = data)

and it gives me the output as:

Out[3]: <matplotlib.axes._subplots.AxesSubplot at 0x21286bb8668>

and a new graph window is opened but it says Figure 1 (Not Responding)

So, I have 2 questions:

1. In the above graph, we can see the x-axis has index, but I would like it to be the Datum values there. How can it be changed?
2. I would like to achieve this in seaborn or plotly, so is there a way to achieve all this in either?

Solution

Considering a toy dataframe:

• seaborn solution

import pandas as pd
import matplotlib.pyplot as plt

import seaborn as sns

df = pd.DataFrame({"Datum": ['1/1/2018 0:00',
                             '1/1/2018 0:15',
                             '1/1/2018 0:30',
                             '1/1/2018 0:45',
                             '1/1/2018 1:00',
                             '1/1/2018 1:15',
                             '1/1/2018 1:30',
                             '1/1/2018 1:45 '],
                   "Menge": [19.5, 19.,19.5,19.5,21,19.5,20,23]})
sns.lineplot(x="Datum", y="Menge", data=df)
plt.xticks(rotation=15)
plt.title('seaborn-matplotlib example')
plt.show()

• plotly solution

import pandas as pd
import numpy as np

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)

trace1 = go.Scatter(x=df.Datum,
                    y=df.Menge,
                    name = "plotly example",
                    line = dict(color = 'blue'),
                    opacity = 0.4)

layout = dict(title='plotly example',)

fig = dict(data=[trace1], layout=layout)
iplot(fig)

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