CODEWITHSUNDEEP
pythonpandasdataframematplotlibplot
wookiekim
wookiekim

Reputation: 1176

Plotting multiple graphs in separate axes from dataframe

I have a dataframe I want to plot.

The dataframe has five columns, one being used as the x-axis, and the other four columns as the y-axis values.

The current code in use is :

ax = plt.gca()

df.plot(kind='line',x='Vertical',y='Gr', color = 'brown', ax=ax)
df.plot(kind='line',x='Vertical',y='R', color='red', ax=ax)
df.plot(kind='line',x='Vertical',y='B', color='blue', ax=ax)
df.plot(kind='line',x='Vertical',y='Gb', color='cyan', ax=ax)

plt.show()

This outputs 4 graphs, all in the same axes. However, this makes the graphs not very readable, as the graphs can be very noisy and they overlap with each other a lot.

For example:

enter image description here

Is there a way to separate the four graphs into different axes so that I can read each graph separately, other than repeating the entire code four times?

Upvotes: 3

Views: 545

Answers (1)

Scott Boston
Scott Boston

Reputation: 153460

Try:

fig, ax = plt.subplots(2,2, figsize=(10,8))

df.plot(kind='line',x='Vertical',y='Gr', color = 'brown', ax=ax[0,0])
df.plot(kind='line',x='Vertical',y='R', color='red', ax=ax[0,1])
df.plot(kind='line',x='Vertical',y='B', color='blue', ax=ax[1,0])
df.plot(kind='line',x='Vertical',y='Gb', color='cyan', ax=ax[1,1])

plt.show()

OR

df[['Gr','R','B','Gb']].plot(subplots=True, figsize=(10,8))

Upvotes: 4

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