Unable to view Seaborn Plots - python-3.x

I am trying to create a plot using seaborn with data from an excel sheet on python on Jupiter.
The code I am using is:
[In]: import numpy as np
[In]:import pandas as pd
[In]:import seaborn as sns
[In]:import matplotlid.pyplot as plt
[In]:%matplotlib
[In]: df =pd.read_excel(r'C:\Users\jcree\OneDrive\Documents\Accounting\Applied_Accounting_Principles\Exercises\Data_Analytics\Workbook1.xlsx.xlsx')
[In]: sns.distplot(df['Item Price'])
This is where the plot should show up but nothing is happening.
I tried using this solution Seaborn plots not showing up but I am unableto get a chart to show.
Any help would be appreciated

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How to plot frequency from a CSV Column in Python

I have a CSV file with columns: created_at, hashtags, media, urls, favorite_count.
I would like to plot the frequency of hashtags.
To read the CSV file I used pandas (but I would like also to show/list the result):
import pandas as pd
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
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Then, to plot the frequency of hashtags in the file, I used
plt.plot(df["hashtags"])
plt.show()
but I received the error: "nan is not a string".
Any suggestion on how to plot the column and visualise the results as both plot and pretty table?
Thanks

You can try this:
df.dropna()
df.reset_index(drop = True)
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Please, I need some help, so I am still in the learning phase of the Python programming for Data Science. I tried plotting a function but I am getting this. Please, what can I do? I am using Python 3. I appreciate your insights, explanations.
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import rcParams
import seaborn as sb
mtcars = pd.read_csv('mtcars.csv')
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df = mtcars[['mpg','cyl','wt']]
print(df.plot())
When I run to see what the plot is like, this is what I get:
AxesSubplot(0.125,0.11;0.775x0.77)
Please can you explain? How can I see the plot?
Thank you so much

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I tried to plot a graph for energies of 4 nodes using line graph but I'm not able to identify which line represent which node ID(1,2,3 or 4)
My csv looks something like this :
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0,1,2,288,9.9999856
1058,1,2,288,9.9999856
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1958,2,3,96,9.9999952
2024,2,1,96,9.9999808
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3063,2,3,288,9.9999808
3126,3,2,96,9.999976
3127,2,1,288,9.9999664
3946,3,2,96,9.999961599
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Code :
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
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#print(data)
plt.xlabel('Time')
plt.ylabel('Energy')
plt.legend()
plt.show()
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You need to set the label.
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df = pd.read_csv('DS1.csv')
for Energy, data in df.groupby('Source'):
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The seaborn documentation has the exact example you are looking for. Following the documentation, if you run the below lines, it should generate the bar plot shown.
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Anyone has a way to control the degree of translucency of the confidence intervals in seaborn regplot?
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You can set the alpha for the confidence interval band using matplotlib.pyplot.setp like:
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