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import pandas as pd if __name__ == '__main__': # 读取文件 : csv - , student_s1 = pd.read_csv("C:/Users/18124/Desktop/pandas/022_读取CSV_TSV_TXT文件中的数据/Studen 阅读全文
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import pandas as pd if __name__ == '__main__': student = pd.read_excel("C:/Users/18124/Desktop/pandas/020_定位_消除重复数据/副本Students_Duplicates.xlsx", \ eng 阅读全文
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import pandas as pd if __name__ == '__main__': employees = pd.read_excel("C:/Users/18124/Desktop/pandas/018_一列数据分割两列/Employees.xlsx") print(employees) 阅读全文
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import pandas as pd if __name__ == '__main__': pd.options.display.max_columns = 777 students = pd.read_excel("C:/Users/123/Desktop/pandas/016_多表联合/Stu 阅读全文
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''' 散点图: 1 下图房屋面积(sqft_basement)与价格关系(price) 直方图: 1 下图房子集中在什么价位 2 下图面积集中在什么面积 密度图: 1 下图房子多大概率70w ''' import pandas as pd import matplotlib.pyplot as p 阅读全文
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import pandas as pd import matplotlib.pyplot as plt if __name__ == '__main__': users = pd.read_excel("C:/Users/123/Desktop/pandas/011_叠加柱状图_水平柱状图/User 阅读全文
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''' 操作excel 1 选中区域，点击插入 - 柱状图 2 选中区域，开始 - 排序和筛选 - 自定义排序 ''' import pandas as pd import matplotlib.pyplot as plt if __name__ == '__main__': students = 阅读全文
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import pandas as pd def validate_age(a): return 18 <= a < 30 def level_b(s): return 60 <= s < 90 if __name__ == '__main__': students = pd.read_excel(" 阅读全文
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if __name__ == '__main__': products = pd.read_excel("C:/Users/123/Desktop/pandas/007_排序_多重排序/List.xlsx", index_col="ID") print(products.head) # 排序 : 价 阅读全文
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import pandas as pd def add_2(x): return x + 2 if __name__ == '__main__': books = pd.read_excel("C:/Users/123/Desktop/pandas/006_函数填充_计算列/Books.xlsx", 阅读全文