Python数据可视化之matplotlib实践 源码 第二篇 精进 第五章

Posted 2021-02-17 Hello_BeautifulWorld

图 5.1

 

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import AutoMinorLocator, MultipleLocator, FuncFormatter


x=np.linspace(0.5, 3.5, 100)
y=np.sin(x)


fig=plt.figure(figsize=(8, 8))
ax=fig.add_subplot(111)


ax.xaxis.set_major_locator(MultipleLocator(1.0))
ax.yaxis.set_major_locator(MultipleLocator(1.0))


ax.xaxis.set_minor_locator(AutoMinorLocator(4))
ax.yaxis.set_minor_locator(AutoMinorLocator(4))


def minor_tick(x, pos):
    if not x%1.0:
        return ""
    return "%.2f"%x
ax.xaxis.set_minor_formatter(FuncFormatter(minor_tick))


ax.tick_params("y", which=\'major\',length=15, width=2.0, colors=\'r\')

ax.tick_params(which=\'minor\', length=5, width=1.0, labelsize=10, labelcolor=\'0.25\')


ax.set_xlim(0, 4)
ax.set_ylim(0, 2)




ax.plot(x, y, c=(0.25, 0.25, 1.00), lw=2, zorder=10)
# ax.plot(x, y, c=(0.25, 0.25, 1.00), lw=2, zorder=0)


ax.grid(linestyle=\'-\', linewidth=0.5, color=\'r\', zorder=0)
# ax.grid(linestyle=\'-\', linewidth=0.5, color=\'r\', zorder=10)
# ax.grid(linestyle=\'--\', linewidth=0.5, color=\'0.25\', zorder=0)



plt.show()

View Code

 

-------------------------------------------------------------------------------------

 图 5.2

import matplotlib.pyplot as plt
import numpy as np

fig=plt.figure(facecolor=(1.0, 1.0, 0.9412))

ax=fig.add_axes([0.1, 0.4, 0.5, 0.5])


for ticklabel in ax.xaxis.get_ticklabels():
    ticklabel.set_color("slateblue")
    ticklabel.set_fontsize(18)
    ticklabel.set_rotation(30)

for ticklabel in ax.yaxis.get_ticklabels():
    ticklabel.set_color("lightgreen")
    ticklabel.set_fontsize(20)
    ticklabel.set_rotation(2)

plt.show()

View Code

 

-------------------------------------------------------------------------------------

图 5.3

 

 

import matplotlib.pyplot as plt
import numpy as np

from calendar import month_name, day_name
from matplotlib.ticker import FormatStrFormatter


fig=plt.figure()

ax=fig.add_axes([0.2, 0.2, 0.7, 0.7])

x=np.arange(1, 8, 1)
y=2*x

ax.plot(x, y, ls=\'-\', lw=2, color=\'orange\', marker=\'o\', 
                                    ms=20, mfc=\'c\', mec=\'r\')

ax.yaxis.set_major_formatter(FormatStrFormatter(r"$\\yen%1.1f$"))

plt.xticks(x, day_name[0:7], rotation=20)


ax.set_xlim(0, 8)
ax.set_ylim(0, 18)


plt.show()

View Code

 

-------------------------------------------------------------------------------------

 

图 5.4

 

 

 

import matplotlib.pyplot as plt
import numpy as np

x=np.linspace(0.5, 3.5, 100)
y=np.sin(x)

fig=plt.figure(figsize=(8, 8))
ax=fig.add_subplot(111)


ax.plot(x, y, c=\'b\', ls=\'-\', lw=2)

ax.annotate("maximum", xy=(np.pi/2, 1.0), xycoords=\'data\', 
            xytext=((np.pi/2)+0.15, 0.8), textcoords="data", 
            weight="bold", color=\'r\', 
            arrowprops=dict(arrowstyle=\'->\', connectionstyle=\'arc3\', color=\'r\'))


ax.text(2.8, 0.4, "$y=\\sin(x)$", fontsize=20, color=\'b\', 
               bbox=dict(facecolor=\'y\', alpha=0.5))

plt.show()

View Code

 

-------------------------------------------------------------------------------------

 

图 5.5

 

import matplotlib.pyplot as plt
import numpy as np

x=np.linspace(0.0, 10, 40)
y=np.random.randn(40)

plt.plot(x, y, ls=\'-\', lw=2, marker=\'o\', ms=20, mfc=\'orange\', alpha=0.6)

plt.grid(ls=\':\', color=\'gray\', alpha=0.5)

plt.text(6, 0, \'Matplotlib\', size=30, rotation=30.0, 
         bbox=dict(boxstyle=\'round\', ec=\'#8968CD\', fc=\'#FFE1FF\'))

plt.show()

View Code

 

-------------------------------------------------------------------------------------

 图 5.6

import matplotlib.pyplot as plt
import numpy as np

x=np.linspace(0.0, 10, 40)
y=np.random.randn(40)

plt.plot(x, y, ls=\'-\', lw=2, marker=\'o\', ms=20, mfc=\'orange\', alpha=0.6)

plt.grid(ls=\':\', color=\'gray\', alpha=0.5)

plt.text(1, 2, \'Matplotlib\', size=50, alpha=0.5)

plt.show()

View Code

 

-------------------------------------------------------------------------------------

 图 5.7

 

 

import matplotlib.pyplot as plt
import numpy as np

x=np.linspace(0, 10, 2000)
y=np.sin(x)*np.cos(x)

fig=plt.figure()
ax=fig.add_subplot(111)

ax.plot(x, y, ls=\'-\', lw=2)



bbox=dict(boxstyle=\'round\', fc=\'#7EC0EE\', ec=\'#9B30FF\')

arrowprops=dict(arrowstyle=\'-|>\', color=\'r\', 
                connectionstyle=\'angle, angleA=0, angleB=90, rad=10\')

ax.annotate("single point", (5, np.sin(5)*np.cos(5)), 
            xytext=(3, np.sin(3)*np.cos(3)), 
            fontsize=12, color=\'r\', bbox=bbox, arrowprops=arrowprops)



ax.grid(ls=":", color=\'gray\', alpha=0.6)

plt.show()

View Code

 

-------------------------------------------------------------------------------------

 

 图 5.8

 

import matplotlib.pyplot as plt
import numpy as np


x=np.linspace(0, 10, 2000)
y=np.sin(x)


fig=plt.figure()
ax=fig.add_subplot(111)


ax.plot(x, y, ls=\'-\', lw=2)

ax.set_ylim(-1.5, 1.5)




arrowprops=dict(arrowstyle=\'-|>\', color=\'r\')

ax.annotate("", (3*np.pi/2, np.sin(3*np.pi/2)+0.15), 
            xytext=(np.pi/2, np.sin(np.pi/2)+0.15), color=\'r\', arrowprops=arrowprops)


ax.arrow(0.0, -0.4, np.pi/2, 1.2, head_width=0.05, head_length=0.1, fc=\'g\', ec=\'g\')




ax.grid(ls=\':\', color=\'gray\', alpha=0.6)

plt.show()

View Code

 

-------------------------------------------------------------------------------------

 

 图 5.9

 

 

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np

from matplotlib.sankey import Sankey

mpl.rcParams["font.sans-serif"]=[\'FangSong\']
mpl.rcParams[\'axes.unicode_minus\']=False


flows=[0.2, 0.1, 0.4, 0.3, -0.6, -0.05, -0.15, -0.2]

labels=[\'\', \'\', \'\', \'\', \'family\', \'trip\', \'education\', \'sport\']
orientations=[1, 1, 0, -1, 1, -1, 1, 0]

sankey=Sankey()

sankey.add(flows=flows, labels=labels, orientations=orientations, color=\'c\', 
           fc=\'lightgreen\', patchlabel=\'Life Cost\', alpha=0.7)


diagrams=sankey.finish()
diagrams[0].texts[4].set_color(\'r\')
diagrams[0].texts[4].set_weight(\'bold\')
diagrams[0].text.set_fontsize(20)
diagrams[0].text.set_fontweight(\'bold\')

plt.title("日常生活的成本开支的流量图")

plt.show()

View Code

 

 

-------------------------------------------------------------------------------------

 

 图 5.10

 

 

 

import matplotlib.pyplot as plt
import matplotlib.patheffects as pes

import numpy as np

x=np.linspace(0.5, 3.5, 100)
y=np.sin(x)

fontsize=23

plt.plot(x, y, ls=\'--\', lw=2)


title=\'$y=\\sin({x})$\'
xaxis_label=\'$x\\_axis$\'
yaxis_label="$y\\_axis$"


title_text_obj=plt.title(title, fontsize=fontsize, va=\'bottom\')
xaxis_label_text_obj=plt.xlabel(xaxis_label, 
                                fontsize=fontsize-3, alpha=1.0)
yaxis_label_text_obj=plt.ylabel(yaxis_label, 
                                fontsize=fontsize-3, alpha=1.0)



title_text_obj.set_path_effects([pes.withSimplePatchShadow()])


pe=pes.withSimplePatchShadow(offset=(1, -1), shadow_rgbFace=\'r\', alpha=0.3)


xaxis_label_text_obj.set_path_effects([pe])
yaxis_label_text_obj.set_path_effects([pe])



plt.show()

View Code

 

-------------------------------------------------------------------------------------

 

 图 5.11

 

 

 

import matplotlib.pyplot as plt
import numpy as np

x=np.linspace(0.5, 3.5, 100)
y=np.sin(x)


fig=plt.figure(figsize=(8, 8))
ax=fig.add_subplot(111)


box=dict(facecolor=\'#6959CD\', pad=2, alpha=0.4)
ax.plot(x, y, c=\'b\', ls=\'--\', lw=2)


title=\'$y=\\sin({x})$\'
xaxis_label=\'$x\\_axis$\'
yaxis_label="$y\\_axis$"


ax.set_xlabel(xaxis_label, fontsize=18, bbox=box)
ax.set_ylabel(yaxis_label, fontsize=18, bbox=box)
ax.set_title(title, fontsize=23, va=\'bottom\')


ax.yaxis.set_label_coords(-0.08, 0.5)
ax.xaxis.set_label_coords(1.0, -0.05)

ax.grid(ls=\'-.\', lw=1, color=\'gray\', alpha=0.5)

plt.show()

View Code

 

 

-------------------------------------------------------------------------------------