我有像这样的数据集：

                 time   raccoons_bought     x   y
22443   1984-01-01 00:00:01     1   55.776462   37.593956
2143    1984-01-01 00:00:01     4   55.757121   37.378225
9664    1984-01-01 00:00:33     3   55.773702   37.599220
33092   1984-01-01 00:01:39     3   55.757121   37.378225
16697   1984-01-01 00:02:32     2   55.678549   37.583023

我需要计算每天购买了多少只浣熊，所以我该怎么做：花时间作为索引

df = df.set_index(['time'])

按它排序数据集

df.groupby(df.index.date).count()

但是在我排序之前，我需要删除x和y列，这意味着坐标

如果我不删除它，数据集将如下所示：

      raccoons_bought x      y
1984-01-01  5497    5497    5497
1984-01-02  5443    5443    5443
1984-01-03  5488    5488    5488
1984-01-04  5453    5453    5453
1984-01-05  5536    5536    5536
1984-01-06  5634    5634    5634
1984-01-07  5468    5468    5468

如果我删除它，数据集会很好：

     raccoons_bought
1984-01-01  5497
1984-01-02  5443 …

y = | sin(x)| + 5*exp(-x ^ 100)*cos(x)从-3到3

x = np.linspace(-3,3)
y = np.mod(np.sin(x)) + 5*np.exp(-x**100)*np.cos(x)  #from -3 to 3

ValueError: invalid number of arguments

我想绘制这个等式,但无法编译它

我尝试读取 csv 文件

 df = pd.read_csv("raccoons.csv", delimiter=":")\n df.head()\n

它又回到了我身边

 \xef\xbf\xbd\xef\xbf\xbdc    Unnamed: 1  Unnamed: 2\n NaN    NaN     NaN     NaN\n NaN    NaN     NaN     NaN\n NaN    NaN     NaN     NaN\n NaN    NaN     NaN     NaN\n NaN    NaN     NaN     NaN\n

文件内部

corrds:time:raccoons_bought\n55.771393 37.567392:4423O3138:2\n55.705458 37.550926:442365718:0\n55.83028 37.404815:442244596:0\n55.799092 37.452157:442327511:148.00001\n55.749785 37.763962:442248573:1\n