I would like to create a graph that plots multiple lines onto one graph.
Here is an example dataframe (my actual dataframe is much larger):
df = pd.DataFrame({'first': [1, 2, 3], 'second': [1, 1, 5], 'Third' : [8,7,9], 'Person' : ['Ally', 'Bob', 'Jim']})
The lines I want plotted are rowwise i.e. a line for Ally, a line for Jim and a line for Bob
You can use the built-in plotting functions, as soon as the DataFrame has the right shape. The right shape in this case would be Person names as columns and the former columns as index. So all you have to do is to set Person as the index and transpose:
ax = df.set_index("Person").T.plot()
ax.set_xlabel("My label")
First you should set your name as the index then retrieve the values for each index:
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({'first': [1, 2, 3], 'second': [1, 1, 5], 'Third' : [8,7,9], 'Person' : ['Ally', 'Bob', 'Jim']})
df = df.set_index('Person')
for person in df.index:
val = df.loc[person].values
plt.plot(val, label = person)
plt.legend()
plt.show()
As for how you want to handle the first second third I let you judge by yourself
