如何在 Python 中更改直方图 Y 轴上的值

Question

I have data in the CSV file. I am trying to plot a histogram using matplotlib. Here is the code that I am trying.

data.hist(bins=10)
plt.ylabel('Frequency')
plt.xlabel('Data')
plt.show()

This is the plot that I get. Now using the same code, I need to create a normalized histogram that shows the probability distribution of the data. But now on the y-axis, instead of plotting the number of data points that fall in each bin, you will plot the number of data points in that data bin divided by the total number of data points.

How should I do it?

Answer 1

Pandas' histogram adds some functionality to the underlying pyplot.hist() . Many of the parameters are passed through. One of them is density= .

import pandas as pd
import numpy as np
from matplotlib import pyplot as plt

data = pd.DataFrame(np.random.uniform(258.1, 262.3, 20))
data.hist(bins=10, density=True)
plt.ylabel('Density')
plt.xlabel('Data')
plt.show()

A related library, seaborn, has a command to create a density histogram together with a kde curve as an approximation of the probability distribution.

import seaborn as sns
sns.distplot(data, bins=10)