【发布时间】:2016-09-09 09:29:21
【问题描述】:
如何将 08:45 时间转换为 0845 以便绘制时间序列降雨量
import numpy as np
import csv as csv
import pandas as pd
import datetime
import time
import matplotlib.pylab as plt
from mpl_toolkits.mplot3d import Axes3D
filename ='/home/yogesh/RTDAS 20 St.Data/Ambeghar_Rainfall.xls'
viewdata = pd.read_excel(filename, delimiter = ',',skiprows = 6,usecols=([3,4,5,6]))
index_col = 'Date'
fig1 = plt.figure(figsize=(25, 15))
ax1 = fig1.add_subplot(111)
plt.plot(viewdata["Today's Rain\n(mm)"])
plt.title("Rain Rate")
plt.show()
输出:
【问题讨论】:
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SO 不是代码编写服务,请展示您的努力、示例数据、代码、任何错误和所需的输出
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import numpy as np import csv as csv import pandas as pd import datetime import time import matplotlib.pylab as plt from mpl_toolkits.mplot3d import Axes3D filename ='/home/yogesh/RTDAS 20 St.Data/ Ambeghar_Rainfall.xls' viewdata = pd.read_excel(filename, delimiter = ',',skiprows = 6,usecols=([3,4,5,6])) #,index_col = 'Date' fig1 = plt.figure(figsize =(25, 15)) ax1 = fig1.add_subplot(111) plt.plot(viewdata["今天的雨\n(mm)"]) plt.title("降雨率") plt.show()
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将代码编辑到您的问题中,cmets 丢失格式
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如果该编辑通过,它仍然需要正确缩进
标签: python pandas matplotlib