'Very Long Category D','Very Long Category E'],rotation=90)plt.title('Bar Chart with Vertical X-axis Labels - how2matplotlib.com')plt.xlabel('Categories')plt.ylabel('Values')plt.tight_layout()plt.show
Matplotlib bar chart x-axis labels Matplotlib provides us the functionality to add labels on the x-axis of the plot. Here firstly you know about how to plot bar charts and the labels define what does x-axis represents to us. By using thexlabels()method you can easily add labels on the...
ax = plt.subplots(figsize=(10, 6))candlestick_ohlc(ax, df[['Open', 'High', 'Low', 'Close']].values, width=0.6, colorup='red', colordown='green')ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))ax.set_xlabel('Date')ax.set_ylabel('Price')ax.set...
In this section, you will learn about x-axis labels inMatplotlibin Python. Before you begin, you must first understand what the termx-axisandlabelmean: X-axisis one of the axes of a two-dimensional or three-dimensional chart. Basically, it is a line on a graph that runs horizontally th...
‘vertical’:垂直放置文本(等同于 90 度) ‘horizontal’:水平放置文本(等同于 0 度) 让我们看一个使用不同旋转角度的例子: importmatplotlib.pyplotaspltimportnumpyasnp x=np.arange(4)y=[3,1,4,2]plt.figure(figsize=(12,8))plt.bar(x,y)plt.xticks(x,['How2matplotlib.com A','How2matplotlib....
cumulative=False, histtype='bar', align='mid', orientation='vertical', color=None, edgecolor='k', label=None, stacked=False) # x:绘图的数据 # bins: 直方图条形个数 # range: 数据的上下限,默认包含数据的最大值与最小值 # density :是否将频数转换成频率 ...
bar(x - width/2, men_means, width, label='Men') #第一组柱状图,错开半个宽度以兼容另一根柱,第一个参数为x坐标,第二个为y坐标,第三个柱子宽度 rects2 = ax.bar(x + width/2, women_means, width, label='Women') #第二组柱状图 # Add some text for labels, title and custom x-axis ...
fig.canvas.set_window_title('Eldorado K-8 Fitness Chart')pos = np.arange(numTests)+0.5 #Center bars on the Y-axis ticks rects = ax1.barh(pos, rankings, align='center', height=0.5, color='m')ax1.axis([0,100,0,5])pylab.yticks(pos, testNames)ax1.set_title(...
15. 有序条形图 (Ordered Bar Chart) 有序条形图有效地传达了项目的排名顺序。 但是,在图表上方添加度量标准的值,用户可以从图表本身获取精确信息。 16. 棒棒糖图 (Lollipop Chart) 棒棒糖图表以一种视觉上令人愉悦的方式提供与有序条形图类似的目的。 # Prepare Data df_raw = pd.read_csv("https://github...
plt.xlabel('X Axis Label') plt.ylabel('Y Axis Label') title:为图表加上一个标题。 plt.title('Your Chart Title') 二、轴范围定制:精细篇 xlim & ylim:设置X轴和Y轴的显示范围。 plt.xlim(0,10) plt.ylim(-1,1) xticks & yticks:设置轴上的刻度值。