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Pandas plot multiple lines against date

I have the following dataframe: <class 'pandas.core.frame.DataFrame'>

RangeIndex: 1642 entries, 0 to 1641
Data columns (total 13 columns):
 #   Column            Non-Null Count  Dtype         
---  ------            --------------  -----         
 0   Date              1642 non-null   datetime64[ns]
 1   Volgnr            1642 non-null   int64         
 2   account           1642 non-null   object        
 3   Rentedatum        1642 non-null   datetime64[ns]
 4   Bedrag            1642 non-null   float64       
 5   Balance           1642 non-null   float64       
 6   tegenrekening     906 non-null    object        
 7   Code              1642 non-null   object        
 8   Naam tegenpartij  1642 non-null   object        
 9   description       1642 non-null   object        
 10  category          1642 non-null   object        
 11  Grootboek         1578 non-null   object        
 12  Kleinboek         1578 non-null   object        
dtypes: datetime64[ns](2), float64(2), int64(1), object(8)
memory usage: 166.9+ KB

'account' has 5 different account numbers which like so: NL00ABCD0123456789

I want two different graphs but I'm already stuck with the first one i.e. I want to see the balance over time for the 5 accounts

In line with other question on this forum I tried:

pd.options.plotting.backend="plotly"
df.set_index('Date', inplace=True)
df.groupby('account')['balance'].plot(legend=True)

But got the following error:

TypeError: line() got an unexpected keyword argument 'legend'

What is going wrong here?

For later: If that is solved I want the X-axis to be weeks or months instead of the absolute date so some aggregation will be necessary



source https://stackoverflow.com/questions/70723457/pandas-plot-multiple-lines-against-date
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