plotting multiple columns of a pandas dataframe

Question

I am new python and I have two columns in a dataframe that i want to plot against date

plt.scatter(thing.date,thing.loc[:,['numbers','more_numbers']])

my intuition is the above should work (because matlab allows for this kind of thing), but it doesn't, and I'm not sure why.

Is there away around this?

I'm hoping to plot these columns for a sequence of 4 dataframes on the same axes - so i'd like to use a command like the above so I can colour the columns from each data frame to make it distinctive.

Quang Hoang · Accepted Answer · 2020-05-26 22:06:09Z

2

Easiest is to do a loop:

fig, ax = plt.subplots()

for col in ['numbers', 'more_numbers']:
    ax.scatter(things.date, things[col], label=col)
    # or
    # things.scatter(x='date', y=col, label=col, ax=ax)

plt.show()

answered May 26, 2020 at 22:06

Quang Hoang

151k11 gold badges64 silver badges86 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

plotting multiple columns of a pandas dataframe

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related