3.4-plot快速可视化 In [ ]:
import pandas as pd import numpy as npIn [ ]:
# dataframe.plot功能In [ ]:
# 3.4.2 单样本：生成随机数时间序列 --> 可视化数据样本 --> 模拟处理、绘制 df = np.random.randn(1000) dfOut[ ]:
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2.93786300e-01, 2.82529493e-01, 3.99095456e-01, -3.01668263e-01,
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1.18354858e-01, 1.41877761e+00, -2.38609762e-01, -3.93554916e-01])
In [ ]:
df = pd.DataFrame(df,index=pd.date_range("20200101",periods=1000))
df.plot()
Out[ ]:
<Axes: >
In [ ]:
df['cumsum'] = df.cumsum() dfOut[ ]:
| 0 | cumsum | |
|---|---|---|
| 2020-01-01 | 1.980237 | 1.980237 |
| 2020-01-02 | -0.729391 | 1.250847 |
| 2020-01-03 | -1.211877 | 0.038970 |
| 2020-01-04 | -0.944301 | -0.905332 |
| 2020-01-05 | 0.843605 | -0.061727 |
| ... | ... | ... |
| 2022-09-22 | 1.295547 | -21.183233 |
| 2022-09-23 | 0.118355 | -21.064879 |
| 2022-09-24 | 1.418778 | -19.646101 |
| 2022-09-25 | -0.238610 | -19.884711 |
| 2022-09-26 | -0.393555 | -20.278266 |
1000 rows × 2 columns
In [ ]:df['cumsum'].plot()Out[ ]:
<Axes: >
In [ ]:
# 3.4.3 多样本 pd.DataFrame(np.random.randn(1000)).hist() # 直方图Out[ ]:
array([[<Axes: title={'center': '0'}>]], dtype=object)
In [ ]:
df2 = pd.DataFrame(np.random.randn(1000,4), columns=['A','B','C','D'],index=pd.date_range('20200101',periods=1000))
In [ ]:
df2Out[ ]:
| A | B | C | D | |
|---|---|---|---|---|
| 2020-01-01 | -0.316267 | -0.064917 | 0.135941 | -1.683531 |
| 2020-01-02 | -1.775707 | 1.260687 | -0.112083 | -0.946609 |
| 2020-01-03 | 0.271756 | -1.231808 | 0.311042 | 0.299439 |
| 2020-01-04 | -0.693046 | -0.260170 | -0.507994 | -1.618444 |
| 2020-01-05 | 1.063937 | 1.523653 | -1.130773 | -0.760272 |
| ... | ... | ... | ... | ... |
| 2022-09-22 | -0.134058 | 0.651518 | 1.246924 | 1.916938 |
| 2022-09-23 | -1.451481 | 0.076728 | -1.271193 | 0.510011 |
| 2022-09-24 | -0.692761 | 0.834845 | -0.819874 | 0.154790 |
| 2022-09-25 | 1.500856 | -0.364554 | -0.896864 | 0.717778 |
| 2022-09-26 | -0.563136 | 0.625665 | 0.168741 | -1.570240 |
1000 rows × 4 columns
In [ ]:df2.hist()Out[ ]:
array([[<Axes: title={'center': 'A'}>, <Axes: title={'center': 'B'}>],
[<Axes: title={'center': 'C'}>, <Axes: title={'center': 'D'}>]],
dtype=object)
In [ ]:
df2.plot()Out[ ]:
<Axes: >
In [ ]:
df2sum = df2.cumsum() df2sum.plot()Out[ ]:
<Axes: >
In [ ]:
标签：02,plot,00,01,03,3.4,可视化,2022,2020
From： https://www.cnblogs.com/mlzxdzl/p/17772472.html