[英]Plot each unique element of a column in a dataframe with partially overlapping y-Values
I hope I can explain this properly as I am new to pandas. 我是熊猫新手,希望我能正确解释这一点。 I have the following dataframe in pandas. 我在熊猫中有以下数据框。
import numpy as np
plant1 = {'Date' : pd.date_range('1/1/2011', periods=10, freq='D'),
'Plant' : pd.Series(["Plant1"]*10),
'Output' : pd.Series(abs(np.random.randn(10)))}
plant2 = {'Date' : pd.date_range('1/3/2011', periods=10, freq='D'),
'Plant' : pd.Series(["Plant2"]*10),
'Output' : pd.Series(abs(np.random.randn(10)))}
plant3 = {'Date' : pd.date_range('1/5/2011', periods=10, freq='D'),
'Plant' : pd.Series(["Plant3"]*10),
'Output' : pd.Series(abs(np.random.randn(10)))}
df_plant_1 = pd.DataFrame(plant1)
df_plant_2 = pd.DataFrame(plant2)
df_plant_3 = pd.DataFrame(plant3)
sample = pd.concat([df_plant_1,df_plant_2,df_plant_3])
My output is meant to be an area plot with each individual plant and the respective y-Value (Output) and x-value (Date). 我的输出是每个植物的面积图,分别是y值(输出)和x值(日期)。 Notice that "Dates" are only partially overlapping. 请注意,“日期”仅部分重叠。
I am stuck at finding a way to meaningful organize my data. 我一直坚持寻找一种有意义的方式来组织数据的方法。 The first challenge is to merge the data for duplicate "Date"-Values. 第一个挑战是合并重复的“日期”-值的数据。 The next step would be to fill the resulting holes in the series with .fillna(). 下一步将使用.fillna()填充系列中的结果漏洞。 The final step would be to plot for each unique "Plant"-value. 最后一步是绘制每个唯一的“ Plant”值。
However, I am already stuck at the first step. 但是,我已经停留在第一步。 I am aware of the .merge function, but don't know how to apply it to this case. 我知道.merge函数,但是不知道如何将其应用于这种情况。
Thank you for your time and consideration. 感谢您的时间和考虑。
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