blocks|key|1514546|text|你的标签坏了的原因是设置手动滴答标签可使标签与数据脱钩。。正确的方法是根据您的需要使用Formatter。因为每个数据点都有一个滴答标签列表，所以可以使用IndexFormatter。它似乎在网上没有记录，但它有帮助：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1514547|class+IndexFormatter(Formatter)
+%7C++format+the+position+x+to+the+nearest+i-th+label+where+i=int(x%2B0.5)
+%7C++...
+%7C++__init__(self,+labels)
+%7C++...|code-block|syntax|javascript|1514548|因此，您只需将日期列表传递给IndexFormatter。以一个最小的、独立的熊猫为例(仅用于生成虚拟数据)：|1514549|import+numpy+as+np
import+matplotlib.pyplot+as+plt
import+matplotlib+as+mpl


#+create+dummy+data++++
x+=+['str{}'.format(k)+for+k+in+range(20)]
y+=+np.random.rand(len(x))

#+create+an+IndexFormatter+with+labels+x
x_fmt+=+mpl.ticker.IndexFormatter(x)

fig,ax+=+plt.subplots()
ax.plot(y)
#+set+our+IndexFormatter+to+be+responsible+for+major+ticks
ax.xaxis.set_major_formatter(x_fmt)|1514550|这将使您的数据和标签保持配对，即使在滴答位置发生变化时：|1514551|​|1514552|📷|atomic|1514553|1514554|我注意到您还在调用set_xticklabels时设置了滴答标签的旋转，现在可能会丢失它。我建议使用fig.autofmt_xdate来代替，它似乎正是为此目的而设计的，而不影响您的ticklabel数据。|1514555|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/15123928/matplotlib-change-yaxis-tick-labels#comment26811197_16329458|1|http://matplotlib.org/api/ticker_api.html|2|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/4d28c03ff45703a527b8154dc06bbfb3.png|imageAlt|3|http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure.autofmt_xdate^0|17|9|25|E|A|I|0|25|E|1|0|0|E|E|0|0|0|0|0|1|2|0|0|9|F|1E|H|1E|H|3|0^^$0|@$1|2|3|4|5|6|7|1G|8|@$9|1H|A|1I|B|C]|$9|1J|A|1K|B|C]]|D|@$9|1L|A|1M|1|1N]|$9|1O|A|1P|1|1Q]]|E|$]]|$1|F|3|G|5|H|7|1R|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1S|8|@$9|1T|A|1U|B|C]]|D|@]|E|$]]|$1|M|3|N|5|H|7|1V|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|1W|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1X|8|@]|D|@]|E|$]]|$1|S|3|T|5|U|7|1Y|8|@]|D|@$9|1Z|A|20|1|21]]|E|$]]|$1|V|3|R|5|6|7|22|8|@]|D|@]|E|$]]|$1|W|3|X|5|6|7|23|8|@$9|24|A|25|B|C]|$9|26|A|27|B|C]]|D|@$9|28|A|29|1|2A]]|E|$]]|$1|Y|3|-4|5|6|7|2B|8|@]|D|@]|E|$]]]|Z|$10|$5|11|12|13|E|$14|15]]|16|$5|11|12|13|E|$14|17]]|18|$5|19|12|1A|E|$1B|1C|1D|-4]]|1E|$5|11|12|13|E|$14|1F]]]]

The reason your ticklabels went bad is that <a href="https://stackoverflow.com/questions/15123928/matplotlib-change-yaxis-tick-labels#comment26811197_16329458">setting manual ticklabels decouples the labels from your data</a>. The proper approach is to use a <code>Formatter</code> according to your needs. Since you have a list of ticklabels for each data point, you can use an <a href="http://matplotlib.org/api/ticker_api.html" rel="nofollow noreferrer"><code>IndexFormatter</code></a>. It seems to be undocumented online, but it has a help:

<pre><code>class IndexFormatter(Formatter)
 | format the position x to the nearest i-th label where i=int(x+0.5)
 | ...
 | __init__(self, labels)
 | ...
</code></pre>

So you just have to pass your list of dates to <code>IndexFormatter</code>. With a minimal, pandas-independent example (with numpy only for generating dummy data):

<pre><code>import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl


# create dummy data 
x = ['str{}'.format(k) for k in range(20)]
y = np.random.rand(len(x))

# create an IndexFormatter with labels x
x_fmt = mpl.ticker.IndexFormatter(x)

fig,ax = plt.subplots()
ax.plot(y)
# set our IndexFormatter to be responsible for major ticks
ax.xaxis.set_major_formatter(x_fmt)
</code></pre>

This should keep your data and labels paired even when tick positions change:

<a href="https://i.stack.imgur.com/bE4u6.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/bE4u6.png" alt="result"></a>

I noticed you also set the rotation of the ticklabels in the call to <code>set_xticklabels</code>, you would lose this now. I suggest using <a href="http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure.autofmt_xdate" rel="nofollow noreferrer"><code>fig.autofmt_xdate</code></a> to do this instead, it seems to be designed exactly for this purpose, without messing with your ticklabel data.

blocks|key|1514600|text|非常感谢--你的解决方案非常有效。对于其他人将来遇到相同问题的情况:我已经实现了上述解决方案，但也添加了一些代码，以便滴答标签保持所需的旋转，并(与其左侧)对齐相应的滴答。可能不是琵琶，也可能不是最好的练习，但它有效。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1514601|+x_fmt+=+mpl.ticker.IndexFormatter(x)
+ax.set_xticklabels(my_data.Date,+rotation=-45)
+ax.tick_params(axis='x',+pad=10)
+ax.xaxis.set_major_formatter(x_fmt)
+labels+=+my_data.Date
+for+tick+in+ax.xaxis.get_majorticklabels():
++++tick.set_horizontalalignment("left")|code-block|syntax|javascript|1514602|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Many thanks - your solution perfectly works. For the case that other people run into the same issue in the future: i have implemented the above-mentioned solution but also added some code so that the tick labels keep the desired rotation and also align (with their left end) to the respective tick. May not be pythonic, may not be best-practice, but it works

<pre><code> x_fmt = mpl.ticker.IndexFormatter(x)
 ax.set_xticklabels(my_data.Date, rotation=-45)
 ax.tick_params(axis='x', pad=10)
 ax.xaxis.set_major_formatter(x_fmt)
 labels = my_data.Date
 for tick in ax.xaxis.get_majorticklabels():
 tick.set_horizontalalignment("left")
</code></pre>

I want to plot a series of values against a date range in matplotlib. I changed the tick <code>base</code> parameter to 7, to get one tick at the beginning of every week (<code>plticker.IndexLocator, base = 7</code>). The problem is that the <code>set_xticklabels</code> function does not accept a <code>base</code> parameter. As a result, the second tick (representing day 8 on the beginning of week 2) is labelled with day 2 from my date range list, and not with day 8 as it should be (see picture).

How to give <code>set_xticklabels</code>a <code>base</code> parameter?

Here is the code:

<pre><code>my_data = pd.read_csv("%r_filename_%s_%s_%d_%d.csv" % (num1, num2, num3, num4, num5), dayfirst=True)
my_data.plot(ax=ax1, color='r', lw=2.)
loc = plticker.IndexLocator(base=7, offset = 0) # this locator puts ticks at regular intervals
ax1.set_xticklabels(my_data.Date, rotation=45, rotation_mode='anchor', ha='right') # this defines the tick labels
ax1.xaxis.set_major_locator(loc)
</code></pre>

Here is the plot:

<a href="http://i.stack.imgur.com/FDhh7.jpg" rel="nofollow">Plot</a>

Matplotlib: How to get same "base" and "offset" parameters for axis ticks and axis tick labels

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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我想在matplotlib中针对日期范围绘制一系列值。我将蜱base参数更改为7，以便在每周开始时得到一个滴答(plticker.IndexLocator, base = 7)。问题是set_xticklabels函数不接受base参数。因此，第二个勾号(代表第2周开始的第8天)从我的日期范围列表中被标记为第2天，而不...

问Matplotlib:如何为轴刻度和轴勾标签获取相同的“基”和“偏移”参数
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问Matplotlib:如何为轴刻度和轴勾标签获取相同的“基”和“偏移”参数EN