data['p_change'].sort_values(ascending=True).head() 2015-09-01 -10.03 2015-09-14 -10.02 2016-01-11 -10.02 2015-07-15 -10.02 2015-08-26 -10.01 Name: p_change, dtype: float64 (2)使用series.sort_index()进行排序 与df一致 # 对索引进行排序 data['p_change'].sort_index().head()...
in DatetimeIndex._maybe_cast_slice_bound(self, label, side) 637 if isinstance(label, dt.date) and not isinstance(label, dt.datetime): 638 # Pandas supports slicing with dates, treated as datetimes at
pd.to_datetime('2020 1-1') pd.to_datetime('2020-1 1') pd.to_datetime('2020-1-1') pd.to_datetime('2020/1/1') pd.to_datetime('1.1.2020') pd.to_datetime('1.1 2020') pd.to_datetime('1 1 2020') pd.to_datetime('1 1-2020') pd.to_datetime('1-1 2020') pd.to_datetime(...
# we have automagically already created an index (in the first section) In [531]: i = store.root.df.table.cols.index.index In [532]: i.optlevel, i.kind Out[532]: (6, 'medium') # change an index by passing new parameters In [533]: store.create_table_index("df", optlevel=9...
4.2. 使用set_index(),reset_index()和reindex()方法 DataFrame.set_index:Setrowlabels.DataFrame.reset_index:Removerowlabelsormovethemtonewcolumns.DataFrame.reindex:Changetonewindicesorexpandindices.set_index()方法的定义如下:defset_index(self,keys,drop=True,append=False,inplace=False,verify_integrity=Fal...
pd.to_datetime('2020.1.1') pd.to_datetime('2020 1.1') pd.to_datetime('2020 1 1') pd.to_datetime('2020 1-1') pd.to_datetime('2020-1 1') pd.to_datetime('2020-1-1') pd.to_datetime('2020/1/1') pd.to_datetime('1.1.2020') pd.to_datetime('1.1 2020') pd.to_datetime('1...
【Type】:40BooleanDtype CategoricalDtype CategoricalIndex DataFrame DatetimeIndexDatetimeTZDtype ExcelFile Flags Float32Dtype Float64DtypeFloat64Index Grouper HDFStore Index Int16DtypeInt32Dtype Int64Dtype Int64Index Int8Dtype IntervalIntervalDtype IntervalIndex MultiIndex NamedAgg PeriodPeriodDtype PeriodIndex Rang...
change_rate = (closing_price_2/closing_price_1-1)*100 change_rate -31.696854146806487 pct_change() 方法来计算相邻两个元素之间的百分比变化 returns = closed.pct_change() ret_index = (1+returns).cumprod() ret_index[0] = 1 ret_index 日期 2023-01-03 1.000000 2023-01-04 1.020589...
pct_change()#以5个数据作为一个数据滑动窗口,在这个5个数据上取均值df['收盘价(元)'].rolling(5).mean() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 数据修改 # 删除最后一行df = df.drop(labels=df.shape[0]-1)# 添加一行数据['Perl',6.6]row = {'grammer':'Perl','popularity':...
索引会自动创建在可索引和您指定的任何数据列上。通过向append传递index=False可以关闭此行为。 # we have automagically already created an index (in the first section)In [531]: i = store.root.df.table.cols.index.indexIn [532]: i.optlevel, i.kindOut[532]: (6, 'medium')# change an index...