python - Plotting Pandas DataFrame from pivot

Question

I am trying to plot a line graph comparing the Murder Rates of particular States through the years 1960-1962 using Pandas in a Jupyter Notebook.

A little context about where I am now, and how I arrived here:

I'm using a crime csv file, which looks like this:

I'm only interested in 3 columns for the time being: State, Year, and Murder Rate. Specifically I was interested in only 5 states - Alaska, Michigan, Minnesota, Maine, Wisconsin.

So to produce the desired table, I did this (only showing top 5 row entries):

al_mi_mn_me_wi = crimes[(crimes['State'] == 'Alaska') | (crimes['State'] =='Michigan') | (crimes['State'] =='Minnesota') | (crimes['State'] =='Maine') | (crimes['State'] =='Wisconsin')]
control_df = al_mi_mn_me_wi[['State', 'Year', 'Murder Rate']]

From here I used the pivot function

df = control_1960_to_1962.pivot(index = 'Year', columns = 'State',values= 'Murder Rate' ) 

And this is where I get stuck. I received KeyError when doing (KeyError was Year):

df.plot(x='Year', y='Murder Rate', kind='line')

and when attempting just

df.plot()

I get this wonky graph.

How do I get my desired graph?

Answer 1

try this you can explore more

   pip install pivottablejs

   import pandas as pd
   import numpy as np
   from pivottablejs import pivot_ui
   df = pd.DataFrame({
      'State': np.repeat(['Alaska', 'Maine', 'Michigan', 'Minnesota','Wisconsin'], 3),
      'Year': [1960, 1961, 1962]*5,
      'Murder Rate': [10.2, 11.5, 4.5, 1.7, 1.6, 1.4, 4.5, 4.1, 3.4, 1.2, 1.0, .9, 1.3, 1.6, .9]})

pivot_ui(df)