Python pandas creating datetime for Week and Year and Month and Year

LittleStudent 0
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I'm have a pandas dataframe with : Branch, Year, Month, Week, Assignments, Sales Volume

I copied your format="%Y-%m" in the hope to get the same formatted datetime.. but no. In the following I will show you my code and the result of my formatted datetime column:

Code: enter image description here

and this is my new year month datetime column:

enter image description here

I dont know why I am getting additional to my year and month the day...

Thank you in advance.

Problem is solved many thanks to everybody for his help:

Monty/Year and Week/Year Columns are working:

enter image description here

Greeting LittleStudent

python-datetime plotly-dash pandas python
1 Answers
  1. concatenate as strings with '-'
  2. convert to datetime
  3. reformat the datetime in plotly
df.head()
###
   Year  Month  Sales Volume
0  2020      1    773.956049
1  2020      2    438.878440
2  2020      3    858.597920
3  2020      4    697.368029
4  2020      5     94.177348


df['ym'] = df['Year'].astype(str) + '-' + df['Month'].astype(str)
df['ym'] = pd.to_datetime(df['ym']).dt.strftime('%Y-%m')

fig = px.bar(df, x='ym', y='Sales Volume', color=df['Year'].astype(str))
fig.update_xaxes(tickformat='%Y_%m', tickangle=45)
fig.show()

enter image description here

Baron Legendre0
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