Hello,
I'm processing several files using pandas data frames. I used an index to create a list of values at specified values for further data analysis.
Low = Data.Frequency[Data.Frequency == Val1].index.tolist()
Mid = Data.Frequency[Data.Frequency == Val2].index.tolist()
High = Data.Frequency[Data.Frequency == Val3].index.tolist()
Low_B.append(Data.S12[Low].tolist())
Mid_B.append(Data.S12[Mid].tolist())
High_B.append(Data.S12[High].tolist())
I then converted these values to a numpy array for plotting in matplot lib.
#Converting list to numpy array for plotting
Low_Band = np.array(Low_B).flatten()
Mid_Band = np.array(Mid_B).flatten()
High_Band = np.array(High_B).flatten()
BP = [Low_Band, Mid_Band, High_Band]
The plotting was done using the standard plt.boxplot.
plt.boxplot(BP ,patch_artist=True)
I'm not sure why I have all these extra lines and whiskers on the plot (shown in figure attached)
Any help would be appreciated.
Dear Adam Weidling
In a typical box plot, the top of the rectangle indicates the third quartile, a horizontal line near the middle of the rectangle indicates the median, and the bottom of the rectangle indicates the first quartile.
Kind Regards
Qamar Ul Islam
Qamar Ul Islam agreed but I’m getting all these extra lines showing up in orange and there appears to be multiple whiskers.
Qamar Ul Islam J. Rafiee
What I noticed is that when I use a test array ie [11, 12, 16, 13] it works fine but my numpy array does not have comma separator which I think is causing the issue. Not quite sure why though lol- Badges
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