entityMap|0|type|IMAGE|mutability|IMMUTABLE|data|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/ba571847be597516dd9251f780d3b757.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/3ebb2ec5cee6d17435fd03e76adc68ea.png|2|https://ask.qcloudimg.com/http-save/yehe-900000/6d775ac0f8a762b4bf7eabdbc640b720.png|blocks|key|dddma|text|直方图中的bins参数指定数据将均匀分布到的柱状图的数量。|unstyled|depth|inlineStyleRanges|entityRanges|l3ad|假设你有一个这样的工资样本数据：|c7b4m|import+pandas+as+pd

sample_dataframe+=+pd.DataFrame({'name':['joe','jill','martin','emily','frank','john','sue','sally','sam'],
+++++++++++++++++++++++++++++++++'salary':[105324,65002,98314,24480,55000,62000,75000,79000,32000]})

#output:
+++++name++salary
0+++++joe++105324
1++++jill+++65002
2++martin+++98314
3+++emily+++24480
4+++frank+++55000
5++++john+++62000
6+++++sue+++75000
7+++sally+++79000
8+++++sam+++32000|code-block|syntax|javascript|b97m8|如果你想绘制一个直方图，其中工资将分布在10个柱状图中，并且你想坚持使用你的函数，你可以这样做：|13pf8|import+matplotlib.pyplot+as+plt

def+histograms(t):
++++plt.hist(t.salary,+bins+=+10,+color+=+'orange',+edgecolor+=+'black')
++++plt.xlabel('Salary')
++++plt.ylabel('Count')
++++plt.show()

histograms(sample_dataframe)|b9qgm|​|e3jom|?|atomic|offset|length|bm8m|如果希望x轴记号反映10个存储箱的边界，可以添加以下行：|evtqu|import+numpy+as+np
plt.xticks(np.linspace(min(t.salary),+max(t.salary),+11),+rotation+=+45)|defb0|6o93g|265kt|最后，要将y-ticks显示为整数，请添加以下行：|e880p|from+matplotlib.ticker+import+MaxNLocator
plt.gca().yaxis.set_major_locator(MaxNLocator(integer=True))|5smmc|最后一个函数如下所示：|7j7fl|def+histograms(t):
++++plt.hist(t.salary,+bins+=+10,+color+=+'orange',+edgecolor+=+'black')
++++plt.xlabel('Salary')
++++plt.ylabel('Count')

++++plt.gca().yaxis.set_major_locator(MaxNLocator(integer=True))
++++plt.xticks(np.linspace(min(t.salary),+max(t.salary),+11),+rotation+=+45)
++++plt.show()|6b9gk|2u010|do0a|9dp8^0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|1|2|0|0^^$0|$1|$2|3|4|5|6|$7|8|9|-4]]|A|$2|3|4|5|6|$7|B|9|-4]]|C|$2|3|4|5|6|$7|D|9|-4]]]|E|@$F|G|H|I|2|J|K|1N|L|@]|M|@]|6|$]]|$F|N|H|O|2|J|K|1O|L|@]|M|@]|6|$]]|$F|P|H|Q|2|R|K|1P|L|@]|M|@]|6|$S|T]]|$F|U|H|V|2|J|K|1Q|L|@]|M|@]|6|$]]|$F|W|H|X|2|R|K|1R|L|@]|M|@]|6|$S|T]]|$F|Y|H|Z|2|J|K|1S|L|@]|M|@]|6|$]]|$F|10|H|11|2|12|K|1T|L|@]|M|@$13|1U|14|1V|F|1W]]|6|$]]|$F|15|H|16|2|J|K|1X|L|@]|M|@]|6|$]]|$F|17|H|18|2|R|K|1Y|L|@]|M|@]|6|$S|T]]|$F|19|H|Z|2|J|K|1Z|L|@]|M|@]|6|$]]|$F|1A|H|11|2|12|K|20|L|@]|M|@$13|21|14|22|F|23]]|6|$]]|$F|1B|H|1C|2|J|K|24|L|@]|M|@]|6|$]]|$F|1D|H|1E|2|R|K|25|L|@]|M|@]|6|$S|T]]|$F|1F|H|1G|2|J|K|26|L|@]|M|@]|6|$]]|$F|1H|H|1I|2|R|K|27|L|@]|M|@]|6|$S|T]]|$F|1J|H|Z|2|J|K|28|L|@]|M|@]|6|$]]|$F|1K|H|11|2|12|K|29|L|@]|M|@$13|2A|14|2B|F|2C]]|6|$]]|$F|1L|H|Z|2|J|K|2D|L|@]|M|@]|6|$]]|$F|1M|H|-4|2|J|K|2E|L|@]|M|@]|6|$]]]]

The bins argument in a histogram specifies the number of bins into which the data will be evenly distributed.
Let's say you have a sample dataframe of salaries like this:
<pre><code>import pandas as pd

sample_dataframe = pd.DataFrame({'name':['joe','jill','martin','emily','frank','john','sue','sally','sam'],
 'salary':[105324,65002,98314,24480,55000,62000,75000,79000,32000]})

#output:
 name salary
0 joe 105324
1 jill 65002
2 martin 98314
3 emily 24480
4 frank 55000
5 john 62000
6 sue 75000
7 sally 79000
8 sam 32000
</code></pre>
If you want to plot a histogram where the salaries will be distributed in 10 bins and you want to stick with your function, you can do:
<pre><code>import matplotlib.pyplot as plt

def histograms(t):
 plt.hist(t.salary, bins = 10, color = 'orange', edgecolor = 'black')
 plt.xlabel('Salary')
 plt.ylabel('Count')
 plt.show()

histograms(sample_dataframe)
</code></pre>
<a href="https://i.stack.imgur.com/c4Ba4.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/c4Ba4.png" alt="enter image description here" /></a>
If you want the x-axis ticks to reflect the boundaries of the 10 bins, you can add this line:
<pre><code>import numpy as np
plt.xticks(np.linspace(min(t.salary), max(t.salary), 11), rotation = 45)
</code></pre>
<a href="https://i.stack.imgur.com/btrLj.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/btrLj.png" alt="enter image description here" /></a>
Finally to show the y-ticks as integers, you add these lines:
<pre><code>from matplotlib.ticker import MaxNLocator
plt.gca().yaxis.set_major_locator(MaxNLocator(integer=True))
</code></pre>
The final function looks like this:
<pre><code>def histograms(t):
 plt.hist(t.salary, bins = 10, color = 'orange', edgecolor = 'black')
 plt.xlabel('Salary')
 plt.ylabel('Count')

 plt.gca().yaxis.set_major_locator(MaxNLocator(integer=True))
 plt.xticks(np.linspace(min(t.salary), max(t.salary), 11), rotation = 45)
 plt.show()
</code></pre>
<a href="https://i.stack.imgur.com/72YXR.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/72YXR.png" alt="enter image description here" /></a>

entityMap|blocks|key|b0j0r|text|这就是你要找的东西吗？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4v2f1|import+matplotlib.pyplot+as+plt
def+histograms(t):
++++_min+=+min(t['salary'])
++++_max+=+max(t['salary'])
++++bins+=+int((_max+-+_min)+/+1000)+#+dividing+the+salary+range+in+bins+of+1000+each
++++plt.hist(t['salary'],+bins+=+bins)
histograms(df)|code-block|syntax|javascript|bttfe^0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|I|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|J|9|@]|A|@]|B|$F|G]]|$2|H|4|-4|6|7|8|K|9|@]|A|@]|B|$]]]]

Is this what you are looking for ?
<pre><code>import matplotlib.pyplot as plt
def histograms(t):
 _min = min(t['salary'])
 _max = max(t['salary'])
 bins = int((_max - _min) / 1000) # dividing the salary range in bins of 1000 each
 plt.hist(t['salary'], bins = bins)
histograms(df)
</code></pre>

<a href="https://i.stack.imgur.com/awcxg.png" rel="nofollow noreferrer">Table</a>
Hi, I'm trying to make a histogram with above table, and below is my coding.
<pre><code>def histograms(t):
 salaries = t.column('Salary')
 salary_bins = np.arange(min(salaries), max(salaries)+1000, 1000)
 t.hist('Salary', bins=salary_bins, unit='$')
 
histograms(full_data)
</code></pre>
But it's not showing properly. Can you help me?
<a href="https://i.stack.imgur.com/2qSdJ.png" rel="nofollow noreferrer">Histogram</a>

Histogram from Table

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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 Table 嗨，我正试着用上面的表格做一个直方图，下面是我的代码。 def histograms(t):    salaries = t.column('Salary')    salary_bins = np.arange(min(salaries), max(salaries)+1000, 1000)    t....

问表中的直方图
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问表中的直方图EN