吴裕雄 python 数据处理

Posted 2021-01-25 天生自然

tags:

篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了吴裕雄 python 数据处理相关的知识，希望对你有一定的参考价值。

import time

print(time.time())
print(time.localtime())
print(time.strftime(\'%Y-%m-%d %X\',time.localtime()))

绘图显示中文配置

import matplotlib.pyplot as plt

a = [1,1,2,3]
b = [2,2,2,2]
plt.plot(a,b)
plt.title("天生自然")
plt.show()

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv")
print(df.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
df.to_csv("E:\\\\temp\\\\taobao_price_data.csv", columns=["宝贝","价格"],index=False,header=True)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df[0:3])

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
cols = df[["宝贝","价格"]]
print(cols.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.ix[0:3,["宝贝","价格"]]
print(a)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
df["销售量"] = df["价格"]*df["成交量"]
print(df.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[(df["价格"]<100)&(df["成交量"]<10000)]
print(a)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df.head())
df1 = df.set_index("位置")
print(df1.head())
df2 = df1.sort_index()
print(df2.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
df1 = df.set_index(["位置","卖家"])
print(df1.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
df1 = df.set_index(["位置","卖家"]).sortlevel(0)
print(df1.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.drop(["宝贝","卖家"],axis=1)
print(a.head())

b = df.drop(["宝贝","卖家"],axis=1).groupby("位置")
print(b.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.drop(["宝贝","卖家"],axis=1).groupby("位置").mean()
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df.info())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df.describe())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
print(df.describe(include=["object"]))

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df["成交量"].groupby(df["位置"])
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df["成交量"].groupby(df["位置"]).mean()
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.groupby("位置").mean()
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.groupby(["位置","卖家"]).mean()
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df.groupby(["位置","卖家"]).size()
print(a.head())

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[30:35][["位置","卖家"]]
print(a)

b = df[90:95][["卖家","成交量"]]
print(b)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[30:35][["位置","卖家"]]
b = df[30:35][["卖家","成交量"]]
c = pd.merge(a,b)
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[10:20][["位置","卖家"]]
b = df[30:40][["卖家","成交量"]]
c = pd.merge(a,b,how="outer")
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:10][["位置","卖家"]]
print(a)
b = df[:10][["卖家","成交量"]]
print(b)
c = pd.merge(a,b,how="right")
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:10][["位置","卖家"]]
b = df[:10][["卖家","成交量"]]
c = pd.merge(a,b,left_index=True,right_index=True)
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:10][["位置","卖家"]]
b = df[:10][["价格","成交量"]]
c = pd.merge(a,b,left_index=True,right_index=True)
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:10][["位置","卖家"]]
b = df[:10][["价格","成交量"]]
c = a.join(b)
print(c)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:5]["宝贝"]
b = df[5:10]["宝贝"]
c = df[10:15]["宝贝"]
d = pd.concat([a,b,c])
print(d)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:5]["宝贝"]
print(a)
b = df[:5]["价格"]
print(b)
c = df[:5]["成交量"]
print(c)
d = pd.concat([a,b,c],axis=1)
print(d)

import pandas as pd

df = pd.read_csv("F:\\\\python3_pachongAndDatareduce\\\\data\\\\pandas data\\\\taobao_data.csv",delimiter=",",encoding="utf8",header=0)
a = df[:5][["位置","卖家"]]
print(a)
b = df[:5][["价格","成交量"]]
print(b)
c = pd.concat([a,b])
print(c)

import pandas as pd

以上是关于吴裕雄 python 数据处理的主要内容，如果未能解决你的问题，请参考以下文章

吴裕雄 python 神经网络——TensorFlow 输入数据处理框架

吴裕雄 python 神经网络——TensorFlow 图像处理函数

吴裕雄--天生自然 PYTHON3开发学习：基本数据类型

吴裕雄 python深度学习与实践（17）

吴裕雄 python 神经网络——TensorFlow 数据集高层操作

吴裕雄--天生自然 PYTHON语言数据分析：ESA的火星快车操作数据集分析