PySpark学习笔记

```python import seaborn as sns import matplotlib.pyplot as plt import numpy as np # 假设这是五种货币的价格数据，这

去极值 画频率分布图def depolarize(data:pd.DataFrame,column:str): lower_quantile = data[column].quantile(0

import pandas as pd from sklearn.metrics import roc_curve, auc import matplotlib.pyplot as plt 假设你的D

```python from sklearn.metrics import classification_report, confusion_matrix import itertools def p

```python import numpy as np import pandas as pd def random_oversample(X, y, sampling_rate): """ 随机过

外汇交易数据的持仓时间计算， Pandas 实现，Pyspark实现。已知数据是一笔笔交易的时间和量