Histogram using python | Histogram tutorial | Histogram using matplotlib
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- Опубліковано 21 лип 2024
- In this tutorial video, you will learn how to plot and customize histogram using python. We will be using the matplotlib library to plot histograms.
Thanks for watching!
Roshan Cyriac Mathew
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Histogram tutorial code:
github.com/roshancyriacmathew...
Some of the topics discussed in this video include:
How to plot a histogram?
How to change the number of bins in a histogram?
How to set the bin ranges for a histogram?
adding edge colour to the bars in a histogram
changing the colour of the histogram
adding styles to the plot
multiple histogram / multiple data in a histogram
adding legend in a histogram
overlapping histogram
step histogram
histogram subplots
plotting histogram from CSV file
Matplotlib style guide:
matplotlib.org/stable/gallery...
#histogram #histogramusingpython #theaianddschannel
Great!
Thank you!
Well explained
Thank you so much 😊
Great video, but I have one question which is that how do I group multiple columns together and plot them as one histogram?
Say if I want to plot the distribution of user stats by type, but my data has the columns: January Phone call, February Phone call, January Web visit, February Web visits, and I want the histogram to see the Phone calls as one group and Web visits as another group, how could I achieve that? Thank you!
Thank you for the comment. One approach would be to extract the columns which you want to group together, which in this case is a new column that has the aggregated values of both the columns of all the phone calls and website visits. And then using this data, plot a histogram.
phone_call_cols = ['January Phone call', 'February Phone call']
web_visit_cols = ['January Web visit', 'February Web visit']
df['Phone calls'] = df[phone_call_cols].sum(axis=1)
df['Web visits'] = df[web_visit_cols].sum(axis=1)
plt.hist([df['Phone calls'], df['Web visits']], bins=10, label=['Phone calls', 'Web visits'])
plt.xlabel('User Stats')
plt.ylabel('Frequency')
plt.legend()
plt.show()
hope that helps.
@@TheAIandDSChannel I'll give this a try! Thank you very much!!
@@claudiachen3557 Your welcome!