CODEWITHSUNDEEP
pythonmatplotlib
Abijah
Abijah

Reputation: 546

plotting multiple columns of a pandas dataframe

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.

Upvotes: 0

Views: 78

Answers (1)

Quang Hoang
Quang Hoang

Reputation: 150745

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()

Upvotes: 1

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