如何查找一天合并了多少行

Question

我有一个数据框

tickers                        dt  AAPL  AMC  AMZN  ...  TH  TSLA  VIAC  WKHS
0       2021-03-19 15:11:11+00:00     0    0     0  ...   0     0     0     0
1       2021-03-22 12:43:45+00:00     0    0     0  ...   0     0     0     0
2       2021-03-22 13:07:46+00:00     0    0     0  ...   0     1     0     0
3       2021-03-22 13:55:05+00:00     0    0     0  ...   0     2     0     0
4       2021-03-23 04:59:01+00:00     0    0     0  ...   0     0     0     0
..                            ...   ...  ...   ...  ...  ..   ...   ...   ...
835     2021-07-29 23:05:30+00:00     0    0     0  ...   0     0     0     0
836     2021-07-30 01:52:35+00:00     0    0     1  ...   0     0     0     0

我想在 1 天内合并整个数据框。之后，我想将每列的每个合并数字除以每天的行数。我试过合并

bullish_comments_df1 = bullish_comments_df1.resample('1D').sum()

但是我不知道如何除以每天合并的行数谢谢你的帮助

Answer 1

使用均值而不是求和和计数按天购买重新抽样。

df = df.reset_index(drop=True)

df.index = pd.DatetimeIndex(df['dt'])

df.resample('1D').mean()

                                AAPL  AMC  AMZN   TH  TSLA  VIAC  WKHS
dt                                                               
2021-03-19 00:00:00+00:00   0.0  0.0   0.0  0.0   0.0   0.0   0.0
2021-03-20 00:00:00+00:00   NaN  NaN   NaN  NaN   NaN   NaN   NaN
2021-03-21 00:00:00+00:00   NaN  NaN   NaN  NaN   NaN   NaN   NaN
2021-03-22 00:00:00+00:00   0.0  0.0   0.0  0.0   1.0   0.0   0.0
2021-03-23 00:00:00+00:00   0.0  0.0   0.0  0.0   0.0   0.0   0.0

可以使用 dropna:

删除没有样本的天数

df.resample('1D').mean().dropna(axis=0, how='all')

                           AAPL  AMC  AMZN   TH  TSLA  VIAC  WKHS
dt                                                               
2021-03-19 00:00:00+00:00   0.0  0.0   0.0  0.0   0.0   0.0   0.0
2021-03-22 00:00:00+00:00   0.0  0.0   0.0  0.0   1.0   0.0   0.0
2021-03-23 00:00:00+00:00   0.0  0.0   0.0  0.0   0.0   0.0   0.0

希望有用

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