'Plot histogram from two columns of csv using pandas
I have a csv file containing two columns. What I'd like to do is to plot a histogram based on these two columns.
My code is as follows:
data = pd.read_csv('data.csv')
My csv data is made like this:
Age Blood Pressure
51 120
.. ...
I tried with plt.hist(data['Age'], bins=10)
which only gives me an histogram based on the first column and its frequency, the same goes for the second column.
Is there a way to plot an histogram which shows me "Ages" in the x-Axis and "Blood Pressure" in the y-Axis?
Solution 1:[1]
If it actually makes sense for you, you can change the orientation
of the second plot:
plt.hist(data['Age'], bins=10, alpha=.5)
plt.hist(data['Blood Pressure'], bins=10, alpha=.5, orientation='horizontal')
plt.show()
Solution 2:[2]
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.bar(data['Age'], data['Blood Pressure'])
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | CainĂ£ Max Couto-Silva |
Solution 2 | Craving_gold |