如何调整 matplotlib.pyplot 直方图的 x 轴？

Question

total noob here. I need to create a histogram, and it is coming out terribly.

As you can see it generates one large bar for all 150,000 data points. The range is a percent, so almost all of the values should between 0 and 1. I want to see what is happening between 0 and 1, not that most all of the values are between 0 and 1.

Here is the code I used:

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

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/data.csv')

df['DebtRatio'].hist();
plt.xticks(np.arange(0, 2, 0.1))

How can I get this histogram to actually be a histogram and show me the distribution across the lowest and most prominent end of the range?

Thanks

Answer 1

As said by @ImportanceOfBeingErnest your actual values range from 0 to 329664, which explain why your histogram looks like that.

If you're sure that it must be a ratio (between 0 and 1), then you can filter your rows:

import pandas as pd
import matplotlib.pyplot as plt

if __name__ == '__main__':
    df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/data.csv')

    print(df['DebtRatio'].describe())  # Look a the max value
    df['DebtRatio'].loc[df['DebtRatio'] <= 1].hist()  # Plot an histogram of filtered values
    plt.show()