Pandas：如何在 pd.DataFrame.plot() 中在 x 轴上显示次要网格线
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Pandas: How to display minor grid lines on x-axis in pd.DataFrame.plot()
提问by user2846226
Is there a way to control grid format when doing pandas.DataFrame.plot()?
在执行 pandas.DataFrame.plot() 时有没有办法控制网格格式？
Specifically i would like to show the minor gridlines for plotting a DataFrame with a x-axis which has a DateTimeIndex.
具体来说，我想显示用于绘制具有 DateTimeIndex 的 x 轴的 DataFrame 的次要网格线。
Is this possible through the DataFrame.plot()?
这可以通过 DataFrame.plot() 实现吗？
df = pd.DataFrame.from_csv(csv_file, parse_dates=True, sep=' ')
回答by Bastiaan
回答by behzad.nouri
this will plot S&p500 with minor xticks and grids at weekly frequency:
这将以每周频率绘制带有较小 xticks 和网格的 S&p500：
import pandas.io.data as web
ts = web.DataReader("^GSPC", "yahoo", start=dt.date( 2013, 6, 1 ))[ 'Adj Close' ]
ax = ts.plot()
xtick = pd.date_range( start=ts.index.min( ), end=ts.index.max( ), freq='W' )
ax.set_xticks( xtick, minor=True )
ax.grid('on', which='minor', axis='x' )
ax.grid('off', which='major', axis='x' )
回答by Paul H
DataFrame.plot()should return an Axesobject from matplotlib.
DataFrame.plot()应该Axes从 matplotlib返回一个对象。
So with ax = df.plot(...), you can do:
因此ax = df.plot(...)，您可以执行以下操作：
ax.xaxis.grid(True, which='minor', linestyle='-', linewidth=0.25, ...)
ax.xaxis.grid(True, which='minor', linestyle='-', linewidth=0.25, ...)
