Drawing pandas-matplotlib

Data format:

riqi, total1, total2
2019-06-01,62192,627
2019-06-02,546240,546
2019-06-03,6603,6597
2019-06-04,5943,594
2019-06-05,61289,6128
2019-06-06,65090,6500
2019-06-07,52632,526
2019-06-08,44949,47449
2019-06-09,4720,472
2019-06-10,8143,8173
2019-06-11 , 6382,89712
2019-06-12,61356,656
2019-06-13,6038,6638
2019-06-14,73,700
2019-06-15,52,529
2019-06-16,538,536
2019-06-17,6463,64624
2019-06-18,224,654
2019-06-19,5989,5930
2019-06-20,5989,5930
2019-06-21,6234,623
2019-06-22,663,64062
2019-06-22,497,49736
2019-06- 23,4454,445
2019-06-24,5791,573
2019-06-25,5839,539
2019-06-26,186,59
2019-06-27,6209,629
2019-06-28,9654,964
2019-06-29,500,500
2019-06-30,5104,51904

Drawing:

import pandas as pd
import numpy as np
from pandas import Series,DataFrame
import matplotlib.pyplot as plt

from pylab import mpl # plt set may be displayed Chinese 
mpl.rcParams [ 'serif-font.sans'] = [ 'FangSong']   
mpl.rcParams [ 'axes.unicode_minus'] = False

fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)

shuju = pd.read_csv("wenjian")

def x (r1, r2): 
    Return List (Range (r 1, r 2 + 1)) 
r 1, r 2 = 1.30 
x = list (x (r 1, r 2)) 
y = shuju [ 'Total1'] 
plt.plot ( x, y, fields = 'O')

ZIP in XY for (X, Y): 
    plt.annotate ( 'local max', XY = (19,5989), xytext = (20,6000), arrowprops = dict (facecolor = 'Black', Shrink = from 0.001, width = 0.001)) of the specified data set tag #

    plt.annotate ( "(% s,% s)"% xy, xy = xy, xytext = (- 20, 10), textcoords = 'offset points') # all data settings tab


plt.show()

Description annotate Syntax: annotate (s = 'str', xy = (x, y), xytext = (l1, l2), ..)

s is a text annotation
xy coordinate point annotated as being
a coordinate position of the comment text xytext
xycoords parameters are as follows:

figure points points from the lower left of the figure in the lower left point
figure pixels pixels from the lower left of the figure the bottom left of the pixel of FIG.
figure fraction fraction of figure from lower left portion of the lower left corner of the digital
axes points points from lower left corner of axes from the bottom left coordinate point
axes pixels pixels from lower left corner of axes from the bottom left corner pixel coordinates
axes fraction fraction of axes from lower left portion of the lower left corner
data use the coordinate system of the object being annotated coordinate system (default) using the annotated objects (default)
polar(theta,r) if not native ‘data’ coordinates t

extcoords disposed offset comment text

| Parameters | coordinates |

| Number of points from the lower left corner of the graphics | 'figure points' |

| Number of pixels from the lower left corner of the graphics | 'figure pixels' |

| 'Figure fraction' | 0,0 is a graphical lower left corner, upper right corner is 1,1 |

| 'Axes points' | number of points from the lower left corner of the domain axis |

| Number of pixels from the bottom left of the axis field | 'axes pixels' |

| 'Axes fraction' | 0,0 is the bottom left corner of the domain axis, the upper right corner is 1,1 |

| 'Data' | domain data using coordinate axis system |

arrowprops # arrow parameter of type as a dictionary dict

width the width of the arrow in points the width of the point of the arrow
Width headwidth the width of the base of the arrow head in points in the base point of the arrow
headlength the length of the arrow head in points of the point of the arrow length
shrink fraction of total length to 'shrink' from both ends of the total length score "shrink" from both ends
facecolor Arrow Color

bbox to increase the frame header, common parameters are as follows:

block shape boxstyle
facecolor (abbreviated fc) the background color
edgecolor (abbreviated ec) border line color
edgewidth border line size

 bbox=dict(boxstyle='round,pad=0.5', fc='yellow', ec='k',lw=1 ,alpha=0.5)  #fc为facecolor,ec为edgecolor,lw为lineweight

Drawing pandas-matplotlib

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