Python：绘制类型系列的熊猫数据框

Question

I have a dataframe (df) with 10 rows looking like this

-2.00    [-24.4907, -24.4594, -24.4321, -24.4012, -24.3...
-1.75    [-23.8154, -23.7849, -23.7601, -23.7326, -23.7...
-1.00    [-23.7131, -23.6954, -23.6767, -23.6616, -23.6...
-0.75    [-22.7675, -22.7505, -22.741, -22.7173, -22.70...
-0.50    [-22.0693, -22.0718, -22.0481, -22.0328, -22.0...
 0.50    [-15.8461, -15.8247, -15.7963, -15.7784, -15.7...
 1.00    [-7.32122, -7.27283, -7.2336, -7.19238, -7.153...
 1.25    [-3.44732, -3.37547, -3.30565, -3.23125, -3.15...
 1.75    [0.541327, 0.568081, 0.597821, 0.627494, 0.667...
 2.50    [3.63716, 3.68494, 3.73379, 3.77966, 3.82584, ...
dtype: object

I'm not 100% sure but I think it contains ndarrays, I'll give you the info that I have:

type(df)
pandas.core.series.Series

whos
df  Series  -2.00    [-24.4907, -24.4<...>82584, ...\ndtype: object

Anyway, I would like to plot all of these arrays in one plot. I'm able to plot one array using

plt.plot(df[1])

And since I have a dataframe of type "series" I hoped using

df.plot
plt.plot()

would be the solution but it doesn't plot anything. Do you know what I do wrong?

Answer 1

You have to run a for loop and call plt.plot() repeatedly with the data you want. When you come out of the for loop, say plt.show() and all of your plots should be added to the same figure. Here is what worked for me:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

val_list = [np.array([1,2]), np.array([4,3])]
data = {"id": [1,2],
        "values": val_list
       }
df = pd.DataFrame(data)
for i in range(2):
    plt.plot(df.iloc[:, 0], df.iloc[i, 1])
    plt.plot(df.iloc[:, 0], df.iloc[i, 1])
plt.show()

The above code added both plots to my figure