在 matplotlib 中在线图中显示垂直网格线

我希望在我的绘图上同时显示水平和垂直网格线，但是默认情况下只显示水平网格线。我在 python 中使用来自 sql 查询的 pandas.DataFrame生成一个包含 x 轴日期的线图。我不知道为什么他们没有出现在日期和我试图寻找这个问题的答案，但无法找到一个。

我用来绘制图表的只是下面的简单代码。

data.plot()
grid('on')

Data 是 DataFrame，它包含 sql 查询中的日期和数据。

我也尝试添加下面的代码，但我仍然得到相同的输出没有垂直网格线。

ax = plt.axes()
ax.yaxis.grid() # horizontal lines
ax.xaxis.grid() # vertical lines

有什么建议吗？

enter image description here

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最佳答案

You may need to give boolean arg in your calls, e.g. use ax.yaxis.grid(True) instead of ax.yaxis.grid(). Additionally, since you are using both of them you can combine into ax.grid, which works on both, rather than doing it once for each dimension.

ax = plt.gca()
ax.grid(True)

That should sort you out.

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plt.gca().xaxis.grid(True) proved to be the solution for me

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maybe this can solve the problem: matplotlib, define size of a grid on a plot

ax.grid(True, which='both')

The truth is that the grid is working, but there's only one v-grid in 00:00 and no grid in others. I meet the same problem that there's only one grid in Nov 1 among many days.

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According to matplotlib documentation, The signature of the Axes class grid() method is as follows:

Axes.grid(b=None, which='major', axis='both', **kwargs)
Turn the axes grids on or off.

which can be ‘major’ (default), ‘minor’, or ‘both’ to control whether major tick grids, minor tick grids, or both are affected.

axis can be ‘both’ (default), ‘x’, or ‘y’ to control which set of gridlines are drawn.

So in order to show grid lines for both the x axis and y axis, we can use the the following code:

ax = plt.gca()
ax.grid(which='major', axis='both', linestyle='--')

This method gives us finer control over what to show for grid lines.

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For only horizontal lines

ax = plt.axes()
ax.yaxis.grid() # horizontal lines

This worked

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Short answer (read below for more info):

ax.grid(axis='both', which='both')

enter image description here

What you do is correct and it should work.

However, since the X axis in your example is a DateTime axis the Major tick-marks (most probably) are appearing only at the both ends of the X axis. The other visible tick-marks are Minor tick-marks.

The ax.grid() method, by default, draws grid lines on Major tick-marks. Therefore, nothing appears in your plot.

Use the code below to highlight the tick-marks. Majors will be Blue while Minors are Red.

ax.tick_params(which='both', width=3)
ax.tick_params(which='major', length=20, color='b')
ax.tick_params(which='minor', length=10, color='r')

Now to force the grid lines to be appear also on the Minor tick-marks, pass the which='minor' to the method:

ax.grid(b=True, which='minor', axis='x', color='#000000', linestyle='--')

or simply use which='both' to draw both Major and Minor grid lines. And this a more elegant grid line:

ax.grid(b=True, which='minor', axis='both', color='#888888', linestyle='--')
ax.grid(b=True, which='major', axis='both', color='#000000', linestyle='-')
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Try:

plt.grid(True)

This turns on both horizontal and vertical grids for date series with major tick marks in the right place.

Using Python3 / MatPlotLib 3.4.3


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