这是我的DataFrame的.head():
Open High Low Close Volume Market Cap
Date
Apr 09, 2018 7044.32 7178.11 6661.99 6770.73 4894060000 119516000000
Apr 08, 2018 6919.98 7111.56 6919.98 7023.52 3652500000 117392000000
Apr 07, 2018 6630.51 7050.54 6630.51 6911.09 3976610000 112467000000
Apr 06, 2018 6815.96 6857.49 6575.00 6636.32 3766810000 115601000000
Apr 05, 2018 6848.65 6933.82 6644.80 6811.47 5639320000 116142000000
&安培;在DateIndex上绘制'Close'的声明:
plot = df['Close'].plot()
默认情况下,x轴标有'Date',但没有显示DateValues。如何调整? y轴未标记,但CloseValues以间隔显示,我也想调整。
找不到解决方案:(感谢Thx一如既往!
答案 0 :(得分:1)
将索引设为DatetimeIndex
:
public static void main(String args[]){
new AsyncTask<String, String>() {
@Override
protected String runInBackground(String params) {
try {
Thread.sleep(10000);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return "Hello "+params;
}
@Override
protected void postExecute(String result) {
System.out.println(result+" AFter 10 sec");
}
}.execute("World");
new AsyncTask<String, String>() {
@Override
protected String runInBackground(String params) {
try {
//Thread.sleep(2000);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return "Hello "+params;
}
@Override
protected void postExecute(String result) {
System.out.println(result+" AFter 2 sec");
}
}.execute("World");
}
答案 1 :(得分:0)
piRSquared的回答是正确的(和往常一样)。您也可以使用
在一行中执行此操作matplotlib.pyplot.plot(pd.to_datetime(df.index), df.Close);