importmatplotlib.pyplotaspltimportnumpyasnp# 创建一个10英寸宽、5英寸高的图形fig,(ax1,ax2)=plt.subplots(1,2,figsize=(10,5))x=np.linspace(0,10,100)ax1.plot(x,np.sin(x))ax1.set_title('Sine Curve - how2matplotlib.com')ax2.plot(x,np.cos(x))ax2.set_title('Cosine Curve - how2...
fig,(ax1,ax2)=plt.subplots(2,1,figsize=(8,6),sharex=True)fig.suptitle('How2matplotlib.com: Shared X-axis')x=np.linspace(0,10,100)ax1.plot(x,np.sin(x))ax2.plot(x,np.cos(x))ax1.set_title('Sine Function')ax2.set_title('Cosine Function')ax2.set_xlabel('X-axis')plt.tigh...
fig, ax = plt.subplots(1, 1, figsize=(16,9), dpi= 80) ax.fill_between(x, y1=y1, y2=0, label=columns[1], alpha=0.5, color=mycolors[1], linewidth=2) ax.fill_between(x, y1=y2, y2=0, label=columns[0], alpha=0.5, color=mycolors[0], linewidth=2) # Decorations ax.set_...
plt.subplots() 2.1. Setting the Width and Height The parameterfigsizeis a pair of numbers (integers or floats).The first specifies the width, while the second sets the height. Both values denote inches. For example: import matplotlib.pyplot as plt # Set width = 5 inches and height = 4 ...
# Importdf_raw=pd.read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv")# Prepare Datadf=df_raw.groupby('class').size()# Make the plot with pandasdf.plot(kind='pie',subplots=True,figsize=(8,8),dpi=80)plt.title("Pie Chart of Vehicle Class - Bad")plt.ylabel...
可以使用plt.figure(figsize=(width, height))来设置一个更小的图像尺寸,或者使用plt.subplots_adjust()函数来调整图像的布局。 更改保存格式:如果以上步骤无法解决问题,可以尝试更改保存格式。matplotlib支持多种图像格式,如PNG、JPEG、SVG等。可以使用plt.savefig()函数保存图像,并指定保存格式,例如plt.savefig('image...
fig, ax = plt.subplots(figsize=(16, 10), dpi=80) ax.vlines(x=df.index, ymin=0, ymax=df.cty, color='firebrick', alpha=0.7, linewidth=2) ax.scatter(x=df.index, y=df.cty, s=75, color='firebrick', alpha=0.7) # Title, Label, Ticks and Ylim ax.set_title('Lollipop Chart for...
## 定义了figsize的大小,已经字图的布局:1行,2列,共2个图 fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(9, 4)) ## 画第一个 boxplot bplot1 = axes[0].boxplot(all_data, vert=True, # vertical box aligmnent patch_artist=True) # fill with color # 画第二个 boxplot bplot...
plt.figure(figsize=(12, 12)) # ignored fig, ax = plt.subplots(1, 1, figsize=get_figsize(min_bounds, max_bounds), dpi=150) 在我看来,上面的代码不会影响子图的大小,而是影响整个图的大小(我想独立设置整个图的大小)。理想情况下,我想说:“我想把我的子图大小(x,y)放在我的较大窗口内的位置(...
# Import necessary libraries import matplotlib.pyplot as plt import numpy as np #Change the figure size plt.figure(figsize=[11, 9]) # Preparing the data to subplots x = np.linspace(0, 10, 10) y1 = x y2 = x ** 2 y3 = x ** 3 y4 = x ** 4 plt.suptitle('Different degree ...