擅长:python、mysql、java
<p>如果将数据放入熊猫数据框中,则可以轻松地将雄性和雌性的值分开,例如(只需使用<code>Income</code>和<code>Number</code>):</p>
<pre><code>import pandas as pd
# a dictionary of the data
data = {'Income': [54, 23, 44, 55, 66, 73, 12], 'Number': [1, 1, 0, 0, 1, 0, 1]}
# put the data into a pandas DataFrame
d = pd.DataFrame(data=data)
# get a list of Income for the Males
incomem = d['Income'][d['Number'] == 1].tolist() # you don't really need the tolist() call
# get a list of Income for the Females
incomef = d['Income'][d['Number'] == 0].tolist()
</code></pre>
<p>然后您可以使用例如示例<a href="https://matplotlib.org/gallery/statistics/barchart_demo.html" rel="nofollow noreferrer">here</a>来绘制条形图。这个plot.ly公司包对于这类事情也很好,如示例<a href="https://www.kaggle.com/bekaaa/univariate-analysis-using-plot-ly-in-python" rel="nofollow noreferrer">here</a>。在</p>