pythonxycoords_python高级绘图图形坐标及刻度样式参数

刻度定位及刻度格式

import matplotlib.pyplot as plt

import numpy as np

from matplotlib.ticker import AutoMinorLocator, MultipleLocator, FuncFormatter

x = np.linspace(0.1,5,100)

y = np.sin(x)

fig = plt.figure(figsize=(10,10))

ax = fig.add_subplot(111)

ax.xaxis.set_major_locator(MultipleLocator(1)) # 设置主刻度线位置

ax.yaxis.set_major_locator(MultipleLocator(1)) # 设置次刻度线位置

ax.xaxis.set_minor_locator(AutoMinorLocator(4)) # 设置主刻度线位置

ax.yaxis.set_minor_locator(AutoMinorLocator(4)) # 设置次刻度线位置

def minor_tick(x,pos):

if not x%1:

return ""

return "%.2f" %x

ax.xaxis.set_minor_formatter(FuncFormatter(minor_tick)) # 设置次要7

ax.tick_params(&＃39;y&＃39;,which=&＃39;major&＃39;, # 刻度样式 主

ax.grid(line" alt="" />

坐标轴刻度标签和刻度线样式调整

fig = plt.figure(facecolor=(1,1,0.9))

ax = fig.add_axes([.1,.4,.5,.5]) #生成Figure实例

for ticklabel in ax.xaxis.get_ticklabels(): #x轴实例 textlabel

ticklabel.set_color(&＃39;slateblue&＃39;)

ticklabel.set_fontsize(18)

ticklabel.set_rotation(30)

for tickline in ax.yaxis.get_ticklines(): #y轴实例 textline

tickline.set_color(&＃39;lightgreen&＃39;)

tickline.set_markersize(20)

tickline.set_markeredgewidth(2)

plt.show()

python高级绘图-图形坐标及刻度样式参数

设置坐标刻度标签为货币和时间

import matplotlib.pyplot as plt

import numpy as np

from calendar import month_name,day_name #日期标签

from matplotlib.ticker import FormatStrFormatter

fig = plt.figure()

ax = fig.add_axes([.2,.2,.7,.7])

x = np.arange(1,8,1)

y = np.exp(x)-0.3

ax.plot(x,y,ls=&＃39;-&＃39;,lw=2,color=&＃39;orange&＃39;,marker=&＃39;o&＃39;,ms=5,mfc=&＃39;c&＃39;,mec=&＃39;c&＃39;)

ax.yaxis.set_major_formatter(FormatStrFormatter(r&＃39;$\yen%1.1f/article>)) # Y轴主坐标标签

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

plt.show()

python高级绘图-图形坐标及刻度样式参数

添加数据注释

x = np.linspace(0,6,100)

y = np.sin(x)

fig = plt.figure(figsize=(5,5))

ax =fig.add_subplot(111)

ax.plot(x,y,c=&＃39;b&＃39;,ls=&＃39;-&＃39;,lw=2)

ax.annotate(&＃39;maximum&＃39;, # 指向性注释 注释内容

xy=(np.pi/2,1), # 注释位置

xycoords=&＃39;data&＃39;, # 坐标系统，‘data’表示与直线图同坐标

xytext=((np.pi/2)+.15,.8), # 标记的左下角顶点位置

textcoords=&＃39;data&＃39;, # 标签坐标系统，同坐标

weight=&＃39;bold&＃39;, # 注释内容样式

color=&＃39;r&＃39;, # 注释颜色

arrowprops=dict(arrow" alt="" />

python高级绘图-图形坐标及刻度样式参数

注释文本样式调整

x = np.linspace(1,10,40)

y = np.random.randn(40)

plt.plot(x,y,ls=&＃39;-&＃39;,lw=2,

marker=&＃39;o&＃39;,

ms=10,

mfc=&＃39;orange&＃39;,

alpha=.5)

plt.grid(ls=&＃39;:&＃39;,color=&＃39;gray&＃39;,alpha=.5)

plt.text(6,0,&＃39;Text Label&＃39;,size=20,rotation=30,

bbox=dict(box" alt="" />

python高级绘图-图形坐标及刻度样式参数

图片添加水印

plt.plot(x,y,ls=&＃39;-&＃39;,lw=2,

marker=&＃39;o&＃39;,

ms=10,

mfc=&＃39;orange&＃39;,

alpha=.6)

plt.grid(ls=&＃39;:&＃39;,color=&＃39;gray&＃39;,alpha=.5)

plt.text(1,1,&＃39;Text Label&＃39;,fOntsize=30,color=&＃39;gray&＃39;,alpha=.5)

plt.show()

python高级绘图-图形坐标及刻度样式参数

曲线指示注释

x = np.linspace(0,10,1000)

y = np.sin(x)*np.cos(x)

fig = plt.figure()

ax = fig.add_subplot(111)

ax.plot(x,y,ls=&＃39;-&＃39;,lw=2)

bbox = dict(box>&＃39;,

connection" alt="" />

python高级绘图-图形坐标及刻度样式参数

添加箭头趋势线

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

y = np.sin(x)

fig = plt.figure()

ax = fig.add_subplot(111)

ax.plot(x,y,ls=&＃39;-&＃39;,lw=2)

arrowprops = dict(arrow>&＃39;,color=&＃39;r&＃39;)

ax.annotate(&＃39;&＃39;,

(3*np.pi/2,np.sin(3*np.pi/2)+.05),

xytext=(np.pi/2,np.sin(np.pi/2)+.05),

color=&＃39;r&＃39;,

arrowprops=arrowprops)

ax.arrow(0,-.4, # 参数x,y

np.pi/2, # 参数x的水平增量

1.2, # 参数y的水平增量

head_" alt="" />

python高级绘图-图形坐标及刻度样式参数

箭头画桑基图

import matplotlib.pyplot as plt

import matplotlib as mpl

import numpy as np

from matplotlib.sankey import Sankey

flows = [.2,.1,.4,.3,-.6,-.05,-.15,-.2]

labels = [&＃39;&＃39;,&＃39;&＃39;,&＃39;&＃39;,&＃39;&＃39;,&＃39;family&＃39;,&＃39;trip&＃39;,&＃39;education&＃39;,&＃39;sport&＃39;]

orientatiOns=[1,1,0,-1,1,-1,1,0]

sankey = Sankey()

sankey.add(flows=flows, # 正值表示流入，负值表示流出

labels=labels,

orientatiOns=orientations, # -1表示显示位置在下方，0表示水平，1表示上方

color=&＃39;c&＃39;,

fc=&＃39;lightgreen&＃39;,

patchlabel=&＃39;life Cost&＃39;,

alpha=.7)

diagrams = sankey.finish()

diagrams[0].texts[4].set_color(&＃39;r&＃39;) # labels标签样式

diagrams[0].texts[4].set_weight(&＃39;bold&＃39;)

diagrams[0].text.set_fontsize(20) # patchlabel标签样式

diagrams[0].text.set_fontweight(&＃39;bold&＃39;)

plt.title(&＃39;Sankey Chart&＃39;)

plt.show()

python高级绘图-图形坐标及刻度样式参数

标题和坐标轴投影

import matplotlib.pyplot as plt

import matplotlib.patheffects as pes

import numpy as np

x = np.linspace(.5,3.5,100)

y = np.sin(x)

fOntsize= 20

plt.plot(x,y,ls=&＃39;--&＃39;,lw=2)

title = &＃39;$y=\sin({x})/article>

xaxis_label = &＃39;$x\_axis/article>

yaxis_label = &＃39;$y\_axis/article>

title_text_obj = plt.title(title,fOntsize=fontsize,va=&＃39;bottom&＃39;)

xaxis_label_text_obj = plt.xlabel(xaxis_label,fOntsize=fontsize-3,alpha=1)

yaxis_label_text_obj = plt.ylabel(yaxis_label,fOntsize=fontsize-3,alpha=1)

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

pe = pes.withSimplePatchShadow(offset=(1,-1),shadow_rgbFace=&＃39;r&＃39;,alpha=.3)

xaxis_label_text_obj.set_path_effects([pe])

yaxis_label_text_obj.set_path_effects([pe])

# offset 文本投影偏离距离

# shadow_rgbFace 投影颜色

# alpha 投影透明度0~1

plt.show()

python高级绘图-图形坐标及刻度样式参数

坐标轴标签添加文本框

fig = plt.figure(figsize=(8,8))

ax = fig.add_subplot(111)

box = dict(facecolor=&＃39;orange&＃39;,pad=2,alpha=.4)

ax.plot(x,y,c=&＃39;b&＃39;,ls=&＃39;--&＃39;,lw=2)

title = &＃39;$y=\sin({x})/article>

xaxis_label = &＃39;$x\_axis/article>

yaxis_label = &＃39;$y\_axis/article>

ax.set_xlabel(xaxis_label,fOntsize=18,bbox=box) # bbox坐标轴标签文本框样式

ax.set_ylabel(yaxis_label,fOntsize=18,bbox=box)

ax.set_title(title,fOntsize=23,va=&＃39;bottom&＃39;)

ax.yaxis.set_label_coords(-.08,.5) # 坐标轴标签位置0~1，负值代表反方向

ax.xaxis.set_label_coords(1,-.05)

ax.grid(ls=&＃39;-.&＃39;,lw=1,color=&＃39;gray&＃39;,alpha=.5)

plt.show()

python高级绘图-图形坐标及刻度样式参数