Python 绘制熊猫数据框的特定行
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Plot specific rows of a pandas dataframe
提问by ahajib
I have a pandas dataframe with three columns and I am plotting each column separately using the following code:
我有一个包含三列的 Pandas 数据框，我使用以下代码分别绘制每一列：
data.plot(y='value')
Which generates a figure like this one:
这会生成一个像这样的数字：
What I need is a subset of these values and not all of them. For example, I want to plot values at rows 500 to 1000 and not from 0 to 3500. Any idea how I can tell the plot function to only pick those?
我需要的是这些值的一个子集，而不是全部。例如，我想在 500 到 1000 行而不是从 0 到 3500 绘制值。知道如何告诉绘图函数只选择那些吗？
Thanks
谢谢
回答by EdChum
use ilocto slice your df:
用于iloc切片您的 df：
data.iloc[499:999].plot(y='value')
this will slice from row 500 up to but not including row 1000
这将从第 500 行切片到但不包括第 1000 行
Example:
例子：
In [35]:
df = pd.DataFrame(np.random.randn(10,2), columns=list('ab'))
df.iloc[2:6]
Out[35]:
a b
2 0.672884 0.202798
3 0.514998 1.744821
4 -1.982109 -0.770861
5 1.364567 0.341882
df.iloc[2:6].plot(y='b')
回答by Abhishek Dutta
In case you have two dataframes say, 'tst'and 'ptst'and want to display only certain values of both (same range in both)on the same graph. Following will help:
如果您有两个数据框，例如'tst'和'ptst'并且只想在同一图形上显示两者的某些值（两者范围相同）。以下将有所帮助：
import matplotlib.pyplot as plts
plts.figure(figsize=(10,5))
plts.plot(tst['Price'])
plts.plot(ptst['Price'])
