fill_between(x, y1, facecolor='r', where=x <= 2, alpha=0.5, interpolate=True) rotate_xticks(plt, degrees=0) plt.suptitle('Example Figure') plt.xlabel('This is x-axis', weight='bold') plt.xticks(weight='bold') plt.ylabel('This is y-axis') # https://matplotlib.org/2.0.2/api...
4、plt.subplots( ):一个步骤生成多个图(推荐使用) import matplotlib.pyplot as plt x = [1,2,3] y = [1,2,3] #1.直接生成1行2列的两个子图,分别作为对象返回给元组中的axe1和axe2 fig,(axe1,axe2) = plt.subplots(1,2) #注意:若是只生成1个图,可以使用以下语句 # fig,axe = plt.subplot...
从上面绘制的两个子图可以了解到figure 和 subplot 的基本用法了,要注意每条subplot命令只会创建一个子图 三、plt.subplots() 在Matplotlib 中 plt.subplots() 的用法和subplot() 相似,subplots 可以创建多个子图。前面说了每条subplot命令只会创建一个子图,但是subplots 不一样,直接上代码看看。 # 设置数据 x = n...
import numpy as np fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(12, 3)) for ax in (ax1, ax2, ax3, ax4): if ax in [ax1, ax3]: x = np.arange(1, 10) else: x = np.arange(1, 12) if ax in [ax1, ax2]: bins = 10 else: bins = n...
linspace(0, 10, 100) y = 4 + 2 * np.sin(2 * x) # plot fig, ax = plt.subplots()...
fig, ax = plt.subplots(ncols=2, nrows=2, figsize=(8, 6)) plt.show() 1. 2. 3. df1 = df[df.variable == '0%(Control)'] df2 = df[df.variable == '1%'] df3 = df[df.variable == '5%'] fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2, sharey=True, figsize=(8,...
在处理数据时，编辑或删除某些数据作为预处理步骤的一部分。这可能涉及从现有列创建新列，或修改现有列以...
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))ls = LightSource(270, 45)# To use a custom hillshading mode, override the built-in shading and pass # in the rgb colors of the shaded surface calculated from "shade".rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1,...
#While the y-axis looks fine, the x-axis tick labels are too close together and are unreadable#We can rotate the x-axis tick labels by 90 degrees so they don't overlap#We can specify degrees of rotation using a float or integer value.plt.plot(first_twelve['DATE'], first_twelve['VAL...
linspace(0, 10, 100) y = 4 + 2 * np.sin(2 * x) # plot fig, ax = plt.subplots()...