plotting of one column versus another kind : str ‘line’ : line plot (default) &lsquo 【Matplotlib】(十)df.plot 的数据更规范,方便向量化及计算。 二、df.plot() DataFrame.plot(x=None, y=None, kind=‘line’, ax=None, subplots=False, sharex=None, sharey=False, ...
y:label, position or list of label, positions, default None. Allows plotting of one column versus another. Only used if data is a DataFrame. y需要使用列的标签,位置参数,或者是由列的标签组成的列表 kind:str.The kind of plot to produce: kind参数用于指定作图的类型,需要传入指定的字符串,可以作...
DataFrame.plot(x=None,y=None,kind='line',ax=None,subplots=False,sharex=None,sharey=False,layout=None,figsize=None,use_index=True,title=None,grid=None,legend=True,style=None,logx=False,logy=False,loglog=False,xticks=None,yticks=None,xlim=None,ylim=None,rot=None,fontsize=None,colormap=None...
x: label or positon, default None y: label, positon or list of label , positions, default None Allows plotting of one colume versus another 允许绘制一列对另一列 kind: str 'line': line plot (default) 折线图 'bar': vertical bar plot 'barh': horizontal bar plot 'hist': hisogram 直方...
Allows plotting of one column versus another kind: str ‘line’ : line plot (default) ‘bar’ : vertical bar plot ‘barh’ : horizontal bar plot ‘hist’ : histogram ‘box’ : boxplot ‘kde’ : Kernel Density Estimation plot ‘density’ : same as ‘kde’ ...
Allows plotting of one column versus another kind : str ‘line’ : line plot (default) ‘bar’ : vertical bar plot ‘barh’ : horizontal bar plot 关于“barh”的解释: http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.barh.html ‘hist’ : histogram ‘pie...
Allows plotting of one column versus another kind: str 'line': line plot(default) ''bar”: vertical bar plot “barh”: horizontal bar plot “hist”: histogram “pie”: pie plot “scatter”: scatter plotdata.plot(x="volume", y="turnover", kind="scatter") data.plot(x="high", y...
You can plot one column versus another using the x and y keywords in plot():In [10]: df3 = pd.DataFrame(np.random.randn(1000, 2), columns=['B', 'C']).cumsum() In [11]: df3['A'] = pd.Series(list(range(len(df))) In [12]: df3.plot(x='A', y='B') Out[12]: ...
plot() plt.show() Its output is as follows −If the index consists of dates, then the pandas .plot() method calls the Matplotlib gct().autofmt_xdate() to format the x-axis labels.Also we can plot one column versus another using the x and y keywords.Types of Plots Available in ...
pandas.DataFrame.plot() DataFrame.plot (x=None, y=None, kind='line') x : label or position,default None y : label, position or list of label, positions, default None- Allows plotting of one column versus another kind : str- ‘line’: line plot (default) - "bar": vertical bar plot...