6))# 绘制带误差条的柱状图ax.bar(categories,values,yerr=errors,capsize=5)# 设置标题和轴标签ax.set_title('Bar Chart with Error Bars - how2matplotlib.com')ax.set_xlabel('Categories')ax.set_ylabel('Values
6))plt.errorbar(x,y,yerr=yerr,fmt='o',capsize=5,label='Data with caps')plt.title('Error Bars with Caps - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show()
{mpl2005, mpl2014, serial, threaded} ## *** ## * ERRORBAR PLOTS * ## *** #errorbar.capsize: 0 # length of end cap on error bars in pixels ## *** ## * HISTOGRAM PLOTS * ## *** #hist.bins: 10 # The default number of histogram bins or 'auto'. ## *** ## * SCATTER...
errorbar(x,y,yerr=None,xerr=None,fmt='',ecolor=None,elinewidth=None,capsize=None,barsabove=False,lolims=False,uplims=False,xlolims=False,xuplims=False,errorevery=1,capthick=None,hold=None,data=None,**kwargs)绘制一个误差线图 eventplot(positions,orientation='horizontal',lineoffsets=1,lin...
def barplot(x_data, y_data, error_data, x_label="", y_label="", title=""): _, ax = plt.subplots() # Draw bars, position them in the center of the tick mark on the x-axis ax.bar(x_data, y_data, color = '#539caf', align = 'center') ...
### CONTOUR PLOTS #contour.negative_linestyle : dashed # dashed | solid #contour.corner_mask : True # True | False | legacy ### ERRORBAR PLOTS #errorbar.capsize : 3 # length of end cap on error bars in pixels ### Agg rendering ### Warning: experimental, 2008/10/10 #agg.path....
'black'The line color of the errorbars.j) capsize :scalar, optionalThe length of the error bar caps in points. Default: None, which will take the value from rcParams["errorbar.capsize"].k) error_kw :dict, optionalDictionary of kwargs to be passed to the errorbar method. Values...
small positive value; this is useful for errorbars. - EF2009-03-28 Make images handle nan in their array argument. A helper, cbook.safe_masked_invalid() was added. - EF2009-03-25 Make contour and contourf handle nan in their Z argument. - EF2009...
Error: Could not Copy # Define a function for a grouped bar plot def groupedbarplot(x_data, y_data_list, y_data_names, colors, x_label, y_label, title): _, ax = plt.subplots() # Total width for all bars at one x location ...
误差线(Error bars)是数据可视化中用来表示测量或估计不确定性的图形元素。它们通常以垂直或水平线段的形式出现在数据点周围,指示数据的可能变化范围。 在Matplotlib中,我们可以使用errorbar()函数来添加误差线。这个函数允许我们指定数据点的位置以及相应的误差值。