Python 从绘图中提取所需数据
如果我分别在x轴和y轴上绘制以下年度人口数据,我如何从该图中获取10年的每日数据,就像我希望能够从使用该数据创建的曲线中获取每天的人口一样 可能吗Python 从绘图中提取所需数据,python,plot,curve-fitting,Python,Plot,Curve Fitting,如果我分别在x轴和y轴上绘制以下年度人口数据,我如何从该图中获取10年的每日数据,就像我希望能够从使用该数据创建的曲线中获取每天的人口一样 可能吗 2020 713,000 2019 703,000 2018 694,000 2017 684,000 2016 674,000 2015 664,000 2014 655,000 2013 645,000 2012
2020 713,000
2019 703,000
2018 694,000
2017 684,000
2016 674,000
2015 664,000
2014 655,000
2013 645,000
2012 636,000
2011 627,000
非常感谢,你真的节省了我很多时间
import numpy as np
from datetime import datetime,timedelta
import pandas as pd
# make your data a frame
df = pd.DataFrame([[2020, 713000],
[ 2019, 703000],
[ 2018, 694000],
[ 2017, 684000],
[ 2016, 674000],
[ 2015, 664000],
[ 2014, 655000],
[ 2013, 645000],
[ 2012, 636000],
[ 2011, 627000]], columns=['DateTime','pop'])
# make DateTime column an datetime object
df['DateTime'] = df['DateTime'].apply(lambda x: datetime(x,1,1))
# create a time range for each day in your period
time_range = np.arange(datetime(2011, 1,1), datetime(2021,1,1), timedelta(days=1))
# make time_range a frame
af = pd.DataFrame(time_range, columns=['DateTime'])
# merge both together (left join on column DateTime) and interpolate the gaps
df = af.merge(df, on='DateTime', how='left').interpolate()
print(df)