python讀取excel數(shù)據(jù)并且畫圖的實(shí)現(xiàn)示例
一,要讀取的數(shù)據(jù)的格式:

二,數(shù)據(jù)讀取部分:
b站視頻參考:https://www.bilibili.com/video/BV14C4y1W7Nj?t=148
# 1930
workbook=xlrd.open_workbook('1930.xlsx')
sheet= workbook.sheet_by_index(0)
A1=[]
B1=[]
# sheet.cell_value(i,0):第i行的第0個(gè)元素
for i in range(1,sheet.nrows):
A1.append(sheet.cell_value(i,0))
B1.append(sheet.cell_value(i,1))
if len(A1)!=len(B1):
print("False")
drawBar(A1,B1,1930)
三,畫圖函數(shù)
1. def drawBar(Music_genre,singer_num,year)
參數(shù)介紹
| 參數(shù)名 | 參數(shù)含義 |
|---|---|
| Music_genre | 音樂流派名稱list |
| singer_num | 音樂流派對(duì)應(yīng)音樂家數(shù)量list |
| year | 讀的文件的年份(因?yàn)樵创a是從1840到2020的) |
def drawBar(Music_genre,singer_num,year):
arr_len=len(Music_genre)
# 由循環(huán)得到一個(gè)字典,key是音樂流派,value是這個(gè)音樂流派對(duì)應(yīng)的音樂家的數(shù)量
i=0
dict_music_singer={}
while i<arr_len:
dict_music_singer[Music_genre[i]]=singer_num[i]
i=i+1
# 注釋1
pyplot.bar(x=0, bottom=range(arr_len), height=0.3, width=singer_num, orientation="horizontal")
# 注釋2
pyplot.yticks(range(arr_len),Music_genre)
# 加title,展示圖像
pyplot.title(year)
pyplot.show()
...
...
drawBar(A1,B1,1930)
注釋1:
""" 水平條形圖,需要修改以下屬性 orientation="horizontal" """ import numpy as np import matplotlib.pyplot as plt # 數(shù)據(jù) N = 5 x = [20, 10, 30, 25, 15] y = [0,1,2,3,4] # 繪圖 x= 起始位置, bottom= 水平條的底部(左側(cè)), y軸, height 水平條的寬度, width 水平條的長度 p1 = plt.bar(x=0, bottom=y, height=0.5, width=x, orientation="horizontal") pyplot.bar(range(arr_len),singer_num,align='center') pyplot.bar(x=0, bottom=range(arr_len), height=0.5, width=singer_num, orientation="horizontal") # 展示圖形 plt.show()

注釋2:plt.xticks的第一個(gè)參數(shù)和plt.plot的第一個(gè)參數(shù)一樣,第二個(gè)參數(shù)是和第一個(gè)參數(shù)相同長度的list此例中用來代替橫坐標(biāo)
import matplotlib.pyplot as plt x = [1, 2, 3, 4] y = [1, 4, 9, 6] labels = ['Frogs', 'Hogs', 'Bogs', 'Slogs'] plt.plot(x, y) # You can specify a rotation for the tick labels in degrees or with keywords. plt.xticks(x, labels, rotation='vertical') # Pad margins so that markers don't get clipped by the axes plt.margins(0.2) # Tweak spacing to prevent clipping of tick-labels plt.subplots_adjust(bottom=0.15) plt.show()

1.1 效果:

1.2 完整代碼
import pandas as pd
import numpy as np
import xlrd
from matplotlib import pyplot
def drawBar(Music_genre,singer_num,year):
arr_len=len(Music_genre)
i=0
dict_music_singer={}
while i<arr_len:
dict_music_singer[Music_genre[i]]=singer_num[i]
i=i+1
#pyplot.bar(range(arr_len),singer_num,align='center')
pyplot.bar(x=0, bottom=range(arr_len), height=0.3, width=singer_num, orientation="horizontal")
pyplot.yticks(range(arr_len),Music_genre)
pyplot.title(year)
pyplot.show()
# 1930
workbook=xlrd.open_workbook('1930.xlsx')
sheet= workbook.sheet_by_index(0)
A1=[]
B1=[]
for i in range(1,sheet.nrows):
A1.append(sheet.cell_value(i,0))
B1.append(sheet.cell_value(i,1))
if len(A1)!=len(B1):
print("False")
drawBar(A1,B1,1930)
# 1940
workbook=xlrd.open_workbook('1940.xlsx')
sheet= workbook.sheet_by_index(0)
A2=[]
B2=[]
for i in range(1,sheet.nrows):
A2.append(sheet.cell_value(i,0))
B2.append(sheet.cell_value(i,1))
if len(A2)!=len(B2):
print("False")
drawBar(A2,B2,1940)
#
workbook=xlrd.open_workbook('1950.xlsx')
sheet= workbook.sheet_by_index(0)
A3=[]
B3=[]
for i in range(1,sheet.nrows):
A3.append(sheet.cell_value(i,0))
B3.append(sheet.cell_value(i,1))
if len(A3)!=len(B3):
print("False")
drawBar(A3,B3,1950)
# 6
workbook=xlrd.open_workbook('1960.xlsx')
sheet= workbook.sheet_by_index(0)
A4=[]
B4=[]
for i in range(1,sheet.nrows):
A4.append(sheet.cell_value(i,0))
B4.append(sheet.cell_value(i,1))
if len(A4)!=len(B4):
print("False")
drawBar(A4,B4,1960)
#
workbook=xlrd.open_workbook('1970.xlsx')
sheet= workbook.sheet_by_index(0)
A5=[]
B5=[]
for i in range(1,sheet.nrows):
A5.append(sheet.cell_value(i,0))
B5.append(sheet.cell_value(i,1))
if len(A5)!=len(B5):
print("False")
drawBar(A5,B5,1970)
#
workbook=xlrd.open_workbook('1980.xlsx')
sheet= workbook.sheet_by_index(0)
A6=[]
B6=[]
for i in range(1,sheet.nrows):
A6.append(sheet.cell_value(i,0))
B6.append(sheet.cell_value(i,1))
if len(A6)!=len(B6):
print("False")
drawBar(A6,B6,1980)
# 9
workbook=xlrd.open_workbook('1990.xlsx')
sheet= workbook.sheet_by_index(0)
A7=[]
B7=[]
for i in range(1,sheet.nrows):
A7.append(sheet.cell_value(i,0))
B7.append(sheet.cell_value(i,1))
if len(A7)!=len(B7):
print("False")
drawBar(A7,B7,1990)
# 2000
workbook=xlrd.open_workbook('2000.xlsx')
sheet= workbook.sheet_by_index(0)
A8=[]
B8=[]
for i in range(1,sheet.nrows):
A8.append(sheet.cell_value(i,0))
B8.append(sheet.cell_value(i,1))
if len(A8)!=len(B8):
print("False")
drawBar(A8,B8,2000)
#
workbook=xlrd.open_workbook('2010.xlsx')
sheet= workbook.sheet_by_index(0)
A9=[]
B9=[]
for i in range(1,sheet.nrows):
A9.append(sheet.cell_value(i,0))
B9.append(sheet.cell_value(i,1))
if len(A9)!=len(B9):
print("False")
drawBar(A9,B9,2010)
# #
# workbook=xlrd.open_workbook('2020.xlsx')
# sheet= workbook.sheet_by_index(0)
# A2=[]
# B2=[]
# for i in range(1,sheet.nrows):
# A2.append(sheet.cell_value(i,0))
# B2.append(sheet.cell_value(i,1))
# if len(A2)!=len(B2):
# print("False")
# drawBar(A2,B2,2020)
以上就是python讀取excel數(shù)據(jù)并且畫圖的實(shí)現(xiàn)示例的詳細(xì)內(nèi)容,更多關(guān)于python讀取excel數(shù)據(jù)并且畫圖的資料請(qǐng)關(guān)注腳本之家其它相關(guān)文章!
- python 利用openpyxl讀取Excel表格中指定的行或列教程
- Python讀取pdf表格寫入excel的方法
- python excel和yaml文件的讀取封裝
- python讀取excel數(shù)據(jù)繪制簡單曲線圖的完整步驟記錄
- python在CMD界面讀取excel所有數(shù)據(jù)的示例
- Python讀取Excel一列并計(jì)算所有對(duì)象出現(xiàn)次數(shù)的方法
- python3:excel操作之讀取數(shù)據(jù)并返回字典 + 寫入的案例
- 解決python pandas讀取excel中多個(gè)不同sheet表格存在的問題
- Python matplotlib讀取excel數(shù)據(jù)并用for循環(huán)畫多個(gè)子圖subplot操作
- python3 循環(huán)讀取excel文件并寫入json操作
相關(guān)文章
python with statement 進(jìn)行文件操作指南
在Python中,with關(guān)鍵字是一個(gè)替你管理實(shí)現(xiàn)上下文協(xié)議對(duì)象的好東西。例如:file等。在file的結(jié)束,會(huì)自動(dòng)關(guān)閉該文件句柄。而這正是本文所需要的2014-08-08
Python區(qū)塊鏈范圍結(jié)論及Genesis Block的添加教程
這篇文章主要為大家介紹了Python區(qū)塊鏈范圍結(jié)論及Genesis Block的添加,有需要的朋友可以借鑒參考下,希望能夠有所幫助,祝大家多多進(jìn)步,早日升職加薪2022-05-05
Python實(shí)現(xiàn)從概率分布中隨機(jī)采樣
這篇文章主要介紹了通過幾個(gè)機(jī)器學(xué)習(xí)中最常用的概率分布為例,來看看如何從一個(gè)概率分布中采樣,文章中的代碼對(duì)我們的工作或?qū)W習(xí)具有一定價(jià)值,感興趣的朋友可以了解一下2021-12-12
python函數(shù)也可以是一個(gè)對(duì)象,可以存放在列表中并調(diào)用方式
這篇文章主要介紹了python函數(shù)也可以是一個(gè)對(duì)象,可以存放在列表中并調(diào)用方式,具有很好的參考價(jià)值,希望對(duì)大家有所幫助,如有錯(cuò)誤或未考慮完全的地方,望不吝賜教2024-02-02
python opencv 實(shí)現(xiàn)對(duì)圖像邊緣擴(kuò)充
今天小編就為大家分享一篇python opencv 實(shí)現(xiàn)對(duì)圖像邊緣擴(kuò)充,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過來看看吧2020-01-01

