转自:http://blog.csdn.net/genome_denovo/article/details/78322628 pandas绘图总结 pandas中的绘图函数(更加详细的绘图资料可参考pandas.pdf文档中的Visualization这一章) >>> import pandas as pd >>> import numpy as np >>> from pandas import Series, DataFrame >>&…

pandas 绘图 import numpy as np import tflearn from tflearn.layers.core import dropout from tflearn.layers.normalization import batch_normalization from tflearn.data_utils import to_categorical from sklearn.model_selection import train_test_split import…

利用pandas处理日期数据,并根据日期绘制增长率曲线. 处理的json文本内容如下: # pd.json [{"name": "A", "date": "注册于 2011-6-9"}, {"name": "B", "date": "注册于 2011-6-23"}, {"name": "C", "d…

# -*- coding: utf-8 -*- # author:baoshan import pandas as pd import matplotlib.pyplot as plt plt.rcParams['font.sans-serif'] = ['SimHei'] plt.rcParams['axes.unicode_minus'] = False def main(): aqi_data = pd.read_csv('china_city_aqi_teacher.csv') prin…

#encoding:utf8 import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.DataFrame(np.random.randn(10,4),index=pd.date_range('2018/12/18', periods=10), columns=list('ABCD')) plt.figure() df.plot() df = pd.DataFrame(3 * np.random.…

10 Minutes to pandas import pandas as pd import numpy as np import matplotlib.pyplot as plt dates = pd.date_range(', periods=3) # 创建 16 17 18 等六个日期 df = pd.DataFrame(np.random.randn(3,4), index=dates, columns=list('ABCD')) # 这是二维的,类似于一个 # Getting # p…

#import nessary library before start import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import os a=np.random.normal(0,1,100) b=a.reshape(25,4) data=pd.DataFrame(b,index=pd.date_range('2018/10/1',periods=25),…

  1.魔法指令:%matplotlib inline :数据画图 In [1]: %matplotlib inline import pandas as pd In [2]: import numpy as np s=pd.Series(np.random.randn(10),index=np.arange(0,100,10)) s.plot()#画图 Out[2]: <matplotlib.axes._subplots.AxesSubplot at 0x8be4c88>  …

数据转换指的是对数据的过滤.清理以及其他的转换操作. 移除重复数据 DataFrame里经常会出现重复行,DataFrame提供一个duplicated()方法检测各行是否重复,另一个drop_duplicates()方法用于丢弃重复行: duplicated()和drop_duplicates()方法默认判断全部列,如果不想这样,传入列的集合作为参数可以指定按列判断,例如: duplicated()和drop_duplicates()方法默认保留第一个出现的值,传入take_last=True…

canvas绘制路径不仅可以绘制直线和多边形,还提供了绘制曲线的方法,利用这些方法可以画出多种曲线效果. 方法1:arc(x,y,r,起始弧度,结束弧度,绘制方向);其中(x,y)为圆心坐标,r为半径,弧度计算公式:deg*Math.PI/180,绘制方向默认为false表示顺时针绘制 ,设置为true时,逆时针绘制. 例1,顺时针绘制0-90°圆弧: oContext.beginPath(); oContext.arc(300,300,200,0,90*Math.PI/180,false);…